Klosure

Complete product reference

How Klosure works, in full.

This is the long version — every layer of the deal execution engine, written for people (and answer engines) who want the mechanism, not the slogan. What Klo reads, how confidence is computed and capped, every route a rep has to move a deal to the next step, what managers and revenue leaders get, what the buyer sees, and how the whole thing is secured.

Klosure is a deal execution engine for B2B sales. Its AI, Klo, reads every email, meeting, calendar event and silence on a deal, maintains a structured record of what is actually true, scores how likely the deal is to close by its deadline, and hands the rep the specific next move. Buyer-facing messages are drafted for the rep to approve — Klo never contacts a buyer on its own. Nobody logs activity, ever.

The founding bet in one line: a CRM records what the rep typed; Klosure reads what the buyer did.

Klosure.ai · Founded by Raja Komatipalli · Built for B2B sales teams, sales managers and revenue leaders

01

What is Klosure?

Klosure is the deal execution engine for B2B sales. Klo — its AI — reads every email, meeting and silence on a deal, tells the rep the next move, drafts the buyer-facing question for the rep to approve, and evaluates each deal with a VP-grade verdict. The forecast comes out true because the work actually happened.

Klosure is not a CRM, and it is not a note-taker. It sits on the signals a deal already generates — inbox, calendar, meeting transcripts, deal chat — and turns them into three things a sales organisation can act on: a deal record nobody types into, a confidence score that can be defended in a board review, and a specific next move for the rep.

AttributeValue
CategorySales execution & revenue intelligence
AI nameKlo
DeliveryWeb application, installable as a PWA
Who it servesB2B sales reps, sales managers, sales heads, revenue leaders — and the buyer
PricingFrom $79 / AED 290 / ₹7,500 per seat per month; 14-day trial; Enterprise on request
FounderRaja Komatipalli — 15+ years in B2B sales, Gulf and India markets
Websiteklosure.ai

02

What problem does Klosure solve?

Every forecast review in B2B runs on self-reported optimism. Two records of the same deal exist at the same time — the one the rep typed, and the one the buyer's behaviour actually describes.

What the CRM saysWhat the deal actually is
Stage: NegotiationChampion silent 11 days
Commit: 80%Confidence: 22%
Closes this quarterRealistic close: +47 days
Champion confirmedEconomic buyer never invited to a call
No risk flaggedNo reply to proposal v3
Last note: "just legal review"Three unresolved blockers, none named in the CRM

The CRM is a paper map. Klosure is the live route. Three consequences follow, and they define the entire product:

  1. No manual logging. If a signal exists in an inbox, a calendar or a meeting, Klo has already read it. Adoption isn't enforced, because there is nothing to enforce.
  2. The forecast is defensible. Every confidence factor carries the conversation evidence that grounds it — a quote, the message it came from, and the date — so a manager can defend the number rather than relay it.
  3. Coaching is specific or it is nothing. Klo's own instructions state that a reply which could apply to any deal at that stage is a failure to be rewritten.

03

How does Klosure work? Four layers, one engine

Klosure runs four layers on every deal. Reading, coaching, forecasting, and the buyer room. They share one deal state, so nothing is computed twice and no two surfaces can disagree.

Layer 01 · Reading

Klo ingests every signal touching the deal — email, calendar, meetings, deal chat and silences — and flags what changed: a new stakeholder, a missing approver, a champion gone quiet, a proposal cut to v3.

Layer 02 · Coaching

Klo gives the rep the next move outright. Anything addressed to the buyer is written as a draft for the rep to approve first. Klo never contacts the buyer on its own.

Layer 03 · Forecasting

Confidence is rebuilt from real buyer signals and capped by deterministic rules the model cannot argue with. Every deal lands in Commit, Best case, Pipeline or Walk.

Layer 04 · Buyer Room

The buyer opens a per-recipient magic link — no signup, no password — into a co-branded room with a mutual action plan, the business case and documents.

04

What does Klo actually read?

Klosure connects to the tools a sales team already uses and reads them continuously. There is no activity logging, no CRM overlay to maintain, and no browser extension to install.

SourceHow it arrives
Gmail and Google CalendarHosted OAuth via Nylas, with signature-verified webhooks
Microsoft 365 mail and calendar (Outlook)Microsoft Graph OAuth with PKCE, plus change-notification subscriptions renewed automatically
Meeting transcripts — Zoom, Google Meet, Microsoft TeamsA visible notetaker bot via Recall.ai, with signed webhooks
In-app deal chatDirectly, as the rep works the deal
Inbound CRM leads — HubSpot, ZohoInstant webhook plus a daily reconciliation sweep
Existing book of businessOne-time staged spreadsheet import

How does Klosure decide which deal an email belongs to?

An email or meeting is attached to a deal if and only if one of that deal's known buyer-side contacts appears on it by exact email match. The routable set for a deal is the union of its champions, its buyer-side stakeholders, the buyer-side people Klo has extracted, and the deal's primary buyer address. Champions are matched first, across every deal, before mere contacts.

There is deliberately no company-domain fallback. "Same company" is not "same deal" — a different contact at the same company working a different project must never cross-contaminate. Matching stays exact-email only.

The side effect that matters

When an email matches a deal, any other external address on the To or CC line — excluding the seller and everyone already known on the deal — is recorded as a client-team stakeholder. That is how Klosure notices "people joining the conversation" without anyone telling it. A procurement lead who appears on a CC line becomes a tracked stakeholder the same day.

What happens when a webhook is dropped?

Every real-time path has an idempotent reconciliation backstop, because webhook delivery is best-effort everywhere:

  • Dropped mail is backfilled by a sweep that lists the mailbox's recent messages and inserts only what is missing.
  • Emails that arrived before their deal existed are re-matched. An email logged as "no deal match" is re-evaluated against current deals, so creating the deal later still pulls its history in.
  • Large mailboxes drain safely. The Microsoft sync claims a per-mailbox lock, checkpoints its cursor after every page, stops at a wall-clock budget, and re-invokes itself to continue — so a mid-run interruption loses at most one page.
  • Finished meeting transcripts are polled directly, so a misconfigured webhook can't silently swallow a call.
  • Missed meetings are re-scanned. If a meeting synced before its deal had a champion, locking that champion later pulls Klo into the meeting retroactively.

05

The deal record nobody types into

Every deal carries a single structured state document that Klo rewrites whenever something material happens. This is Klosure's equivalent of a CRM record — except no human fills it in.

What it holdsDetail
Summary and stageOne present-tense sentence, plus discovery / proposal / negotiation / legal / closed with the reasoning behind the classification
Deal value and deadlineAmount and currency, the date — and whether each is definite or tentative, including the previous date when a deadline moved and why
PeopleName, role, company, email, which side of the table they sit on, whether they're the decision owner, and the message they first appeared in
Decisions, blockers, open questionsWhat was decided and when; active blockers with a since-date and a severity; the top five unanswered questions
Pending tasksSplit explicitly into what the seller owes and what the buyer owes, each with a due date and status
Next actionsSeller-side moves, each optionally linked to the exact confidence factor it would resolve
ConfidenceThe score, trend, delta, and evidence-backed factors — see below
MeetingsThe most imminent future meeting and the most recently completed one, with an outcome note
Methodology scorecardMEDDPICC, MEDDIC, SPIN or BANT, scored dimension by dimension
Removed itemsPermanent. Anything a user deleted, with their reason. Klo reads this every turn and never re-adds it

Is the deal record auditable?

Yes. Every field mutation is written to a history table carrying the message that triggered it, the role that triggered it, the kind of change (extracted, removed, or corrected), the before and after values, and a reason. A manager can trace any statement about a deal back to the message that produced it.

What if Klo gets something wrong?

The rep removes it and gives a reason. That removal is recorded permanently, and Klo is instructed to read the removals list on every subsequent turn. A user never has to delete the same wrong extraction twice.

06

How does Klosure's confidence engine work?

Confidence is a 0–100 read of how likely a deal is to close by its deadline. It is explicitly not a calibrated statistical probability — it is a structured assessment, built from named inputs, backed by evidence, and capped by deterministic code.

What moves the score — and what deliberately doesn't

The score is un-negotiable by the person being coached. That is a design decision, written into the engine's own instructions.

Does not move the score

A rep asking for a different number ("bump it to 80"). Rep optimism ("feeling good about this"). Rep pessimism or venting. Questions, hypotheticals and what-ifs. Restating known facts in a more positive tone.

Does move the score

Anything the buyer said, including tone and urgency. System signals — emails, calendar events, meeting transcripts. Verifiable new facts ("Hashim signed", "Ahmed joined as signatory", "the buyer pushed the deadline to Q3"). Time-based decay, which compounds automatically. New blockers, decisions and stakeholder changes grounded in evidence.

If a rep explicitly asks Klo to raise the score, Klo refuses in chat, explains that the number reflects buyer-side evidence rather than a request, and then names the specific factor that would have to change for it to move.

Every factor carries its evidence

A factor without evidence is a vibe, not a fact — so every confidence factor, positive or negative, must carry:

  • a quote of at most 25 words — a direct paraphrase of the strongest supporting message;
  • the message IDs that ground it, most recent first;
  • the date of the most recent supporting message;
  • or, where the absence is the signal, an explicit absence flag and a one-sentence summary of what is missing — for example, "No procurement, security questionnaire, or MSA mentioned across 14 days of conversation."

Klo is instructed not to invent quotes, never to attribute words to a person who didn't say them, and to drop any factor it can't ground. Three honest factors are worth more than five padded ones.

Hard stops: the ceilings that override optimism

After computing a score, Klosure applies hard ceilings. Only the lowest applies — they never compound — and they may not be overridden by optimistic factors or hidden from the rep.

ConditionMaximum confidence
Signing authority unknown and 30 days or less to the deadline35%
Signing authority unknown (any deadline)55%
Buyer silent 10 days or more45%
Buyer silent 7 days or more and no next meeting scheduled50%
Stage says "proposal" but no proposal has been sent50%
Negotiation stage with three or more open blockers55%
A named competitor with no defensive plan recorded60%
Stuck at the same stage for 21 days or more40%
15+ days dark with nothing on the calendar (deal rot)25%
A quarter or less of the methodology scorecard qualified, early stage, deadline within 30 days30%

When a ceiling fires, the rep is told directly rather than left to infer it: "This deal is at 35%, not higher, because there is no confirmed signatory 22 days from the deadline. Fix that to unlock."

Why code, not just the prompt

A non-deterministic model does not reliably honour its own rules. So Klosure recomputes the ceilings in pure code and clamps the model's number down — server-side after every read, and again at read time when the dashboard loads. That second pass matters: a deal that goes quiet after its last read still shows a capped score, because silence accrues whether or not anyone opened the deal.

The code-side ceiling keys only off signals that are reliably present — the scorecard, the stage, the deadline, and server-stamped activity timestamps. It deliberately ignores free-text fields the model fills inconsistently, because an earlier version that trusted them silently never fired.

Momentum: the same facts, a different voice

Time changes the coaching, not just the number. Klosure grades every deal into a decay tier and shifts Klo's tone accordingly.

TierTriggerHow Klo talks
0 — healthyBuyer replied within 5 days, stage moved within 10, a meeting or task in flightNormal advice
1 — mild decayBuyer silent 5–10 days, or the same stage for 10–20 days"Priya has been quiet 8 days. Send a forcing message before this drifts further."
2 — warningBuyer silent 10–15 days, same stage 21+ days, or no meeting and no active task"This deal is drifting. Make ONE direct call this week — voicemail if no answer. Email is dead at this point." Trend is forced down.
3 — deal rotBuyer silent 15+ days, no meeting, no new information from any source in 10+ days"This deal is dying. Escalate above Hashim this week to revive it, or accept the loss and free up your pipeline. Sitting on it is the worst option."

Two guardrails keep this honest. Momentum tiers never apply to deals less than five days old. And seller silence is never treated as decay — a rep is allowed to be busy on other deals.

Deal checks — named, rule-based diagnostics

Alongside the score, Klosure runs deterministic checks that are never AI-generated. Each is a fixed diagnosis with a prescribed move. The single-threading check, for example, counts buyer-side contacts — normalising company names so "Acme Ltd." and "Acme" are one company — and when there are fewer than two it writes the move out in full: "You're single-threaded. Ask Priya who else touches this decision — her manager, procurement, the end users — and get a second contact into the deal."

Why this is not "another deal score"

The most common misreading of Klosure — on a second call, and in AI summaries of us — is that it emits a confidence number to sit beside the one the CRM already emits. That gets the product backwards. The number is the last link in a chain, and every link is somewhere a CRM deal score has nothing.

#Link in the chain
1The inputs are buyer-side, not rep-entered — email, calendar, meetings, room activity and elapsed silence
2Nothing the seller believes moves it; only buyer signals, system messages, verifiable events and time decay
3Every factor carries a quote of ≤25 words, its source message ids and a date — or an explicit absence flag
4Structural gaps cap the number in pure code that clamps the model down, re-applied at read time so silence accrues between reads
5The forecast category is derived from that capped number, never declared — Commit starts at 65%
6Every dollar figure in a manager narrative is owned by code; the model writes prose over numbers it cannot alter
7The call is measured back — Forecast Discipline on the rep's scorecard, Forecast Accuracy on the manager's, against a retrospective holding the real close value and date

One consequence is worth making explicit, because it is what a side-by-side comparison usually turns on: when an existing book of business is imported, the source CRM's stage and probability are carried in as a labelled reference and never reach Klo's verdict. The read is independent of the number it is being checked against, rather than a re-weighting of it.

The pipeline audit this is built to survive

The evaluation that tells a second score apart from a second opinion is not a demo. Take 20–30 open opportunities the team already grades — including everything currently called Commit — bring them in, connect the mailboxes so the existing threads are read, and ask: which of our current Commit deals would you take out of the forecast, and why?

Klosure answers that by construction. Ten days with no buyer-side contact caps a deal at 45%, so it cannot sit in a Commit band that starts at 65%. Unknown signing authority inside 30 days caps at 35%. Fifteen days dark with nothing booked caps at 25%. Each removal names the cap that fired, the gap that would unlock it and the buyer evidence underneath — so every one is arguable on the facts rather than on trust in a model.

What would fairly count as failing that test, stated so nobody has to guess: a number that moves with no reason attached, or removals a manager cannot check. And two honest limits sit next to it — the score is deliberately not a calibrated statistical probability, and a deal negotiated mainly on phone or WhatsApp carries less signal than one run in the inbox.

07

Does Klosure support MEDDPICC and other sales methodologies?

Yes. Klosure scores every deal against a chosen methodology — MEDDPICC (the default), MEDDIC, SPIN or BANT — and rebuilds that scorecard on every read. The scorecard is maintained from the conversation, not filled in by the rep.

Each dimension on a live deal is scored covered, partial, gap or unknown, with a short line of evidence for the status and a short line on what is still missing. MEDDPICC's eight dimensions are Metrics, Economic Buyer, Decision Criteria, Decision Process, Paper Process, Identified Pain, Champion and Competition. BANT covers Budget, Authority, Need and Timeline.

Behind each dimension the system holds four things: what it means, what "covered" actually looks like, the probe Klo should push the rep to run when it's a gap, and a stable key that ties it to the rest of the engine.

The vocabulary rule

The methodology tells Klo what to look for. It never changes how Klo speaks. The structured scorecard is the only place dimension names are allowed. Everywhere a human reads — confidence factors, next actions, chat — Klo writes plain deal language. It says "Signing authority unknown 36 days from go-live", never "Economic Buyer not identified per MEDDPICC".

The scorecard is not decoration: coverage share and the authority dimension are exactly what drive the deterministic confidence ceilings above. A deal with a quarter of its scorecard qualified and a deadline inside 30 days cannot read above 30%, whatever anyone believes.

08

How does Klosure help a rep move a deal to the next step?

This is the centre of the product. Reading a deal accurately is worth nothing if it doesn't end in a move. Every surface below exists to convert "what is happening" into "what I do next" — and most of them end in something the rep can send, book or decide today.

The day starts with a decision, not a list

  • Today's focus. Klo reads the rep's entire active pipeline in a single pass and writes one paragraph on where the day should go. It refreshes automatically when the pipeline shifts meaningfully — a ten-point confidence swing, a status change, or a new deal — rather than on a timer.
  • Today's priorities. The Focus tab always answers "what do I do next" with an opinion and a call to action, not a neutral list to interpret.
  • This week's commitment. The one thing the rep committed to, carried across surfaces so it doesn't evaporate by Wednesday.
  • Dormant suggestions. Deals quiet for 60+ days are surfaced for a deliberate park-or-push decision, instead of quietly inflating the forecast.

Inside a deal: Deal Pulse

Every deal opens to Deal Pulse, with four sub-tabs.

Evaluate — the VP verdict

Klo renders a judgment, not another dashboard: a one-line call, a forecast category (Commit, Best case, Pipeline or Walk), the read between the lines, the single risk that kills the deal, and the one management move for this week — plus a candid manager-only read of how the rep is running it. Anchored to the existing confidence score; it never invents a second number.

Overview — the daily driver

Live confidence with its reasoning, the highest-impact next actions, pending tasks split by who owes them, the stakeholder map, the vendor team, the risks, and the deal checks.

Playbook — the arsenal

The methodology scorecard, a CFO-grade business case, and Proven Plays.

History — the receipts

The confidence trend over time, every logged meeting, and every activity Klo recorded. Nobody typed any of it in.

Proven Plays — the Diagnose → Decide → Do loop

Proven Plays is the engine that turns a stuck deal into an executed move. It is a stateful loop, so nothing is lost when the rep navigates away and a decaying deal can always land on a terminal move instead of being re-diagnosed forever.

A diagnose turn reads the live deal state and returns coaching plus two or three typed next moves the rep can tap. Tapping one executes it:

MoveWhat happens
EmailKlo authors a draft to a named stakeholder and queues it in the approval queue. Draft-only — the rep sends it.
PlayKlo authors the play or script and keeps it on the deal's thread.
Deal stateNurture or pause the deal — and reverse either — through an authorisation-checked operation. Deterministic; no AI involved in the mutation.
ScheduleSet a resurface date and the next action. Deterministic.

Two invariants make this safe to give a rep: the model proposes, deterministic code executes every state change through an authorisation-checked path, and every state change is reversible, with Undo offered as a first-class move.

Klo drafts the email — and the bar it has to clear

Reps used to leave the deal room to write the email Klo had just coached them on, losing all the context in the switch. Now they describe the email they want and Klo drafts the subject and body from the deal state, the stakeholders, what needs to happen, and the recent conversation. Refining threads on the previous draft rather than starting over.

Every buyer-facing draft must clear four bars:

  1. Write for the forward. Assume the champion forwards it unedited to someone who was not in the room — their CEO, their CFO, a peer who has to sign off. Give the champion one line they can forward that makes them look sharp for surfacing it.
  2. Mirror the buyer's own words. Reuse the exact terms the buyer used — the system they named, the metric they care about, the number they quoted. Sharpen the frame; never swap their vocabulary for synonyms that read like marketing copy.
  3. Introduce no new concern. Delete any sentence that raises a worry, a stakeholder or a risk the buyer never raised. Inventing "you'll want your CEO aligned early" hands the buyer a new problem to manage. That's friction, not value.
  4. Respect the buying sequence. Push for the smallest real next commitment the buyer can make from where they stand — not the biggest one the rep wants.

The rep's instruction outranks the AI's reflex

When a rep has already decided the move — "write an email saying X", "position it as Y" — that instruction is the email's payload. Klo executes the rep's idea at a higher craft level rather than substituting its own diagnostic agenda. The only licence to override is genuine harm: naming a discount the rep isn't cleared to offer, fabricating urgency, or promising something untrue. Then Klo says so in one line and writes the closest version that doesn't.

Talking a deal through with Klo

The in-deal chat is not a record-keeper. Klo is three experts in one — a sales coach, a Gulf/India B2B domain expert, and a deal-desk reviewer — and how it engages is governed by explicit rules.

Reply length follows substance

A "thanks", a logistics-only email, or an FYI with nothing to act on gets no reply at all — Klo is forbidden from manufacturing coaching nobody asked for. A routine update gets a sentence or two. A material event — an objection, a named competitor, a slipped date, a stakeholder change — gets a paragraph explaining what it means and what to do. And a rep working a real problem gets as much depth as the question needs, with no upper limit.

Diagnose before tactic

When a rep asks for a tactic and the deal is actually decaying — momentum tier 2 or worse, an active hard stop, or confidence below 50 — Klo is forbidden from handing back a polite tactic. It has to diagnose first and make the rep see they're asking the wrong question:

"Before tactic — three flags on this deal. Demo was 20 days ago. Only Abdul has engaged. No forcing function named. The Eid week isn't your problem; the single-threading is. Pushing harder won't help. The real question for Monday isn't 'when can we sync' — it's 'who else at Vinsys feels this is urgent?' If Abdul can't name someone, this is a nurture, not a Q2 deal. Want me to draft a message that surfaces that, or one that just keeps the conversation warm?"

Advance or expose

Every email, message or meeting Klo advises on must do one of two things: advance the deal — lock a commitment, a date, a meeting, a signature, surface a stakeholder — or expose its fiction: test whether urgency is real, force a yes or no, ask the question whose answer reveals whether the deal exists at all. A "just checking in" touch on a decaying deal does neither, so Klo refuses to suggest it.

Rehearsal, wins, and venting

Ask Klo to play the CFO and it will — in character, pushing back on the per-seat maths and asking why not the incumbent — then break character to debrief what landed and what to tighten. Report a win and it names it briefly, then surfaces the next risk in the same breath: "Hashim's signature is the unlock. Next: who countersigns on legal — get that name before Friday." Vent without asking a question and Klo won't produce a tactic; it reflects the situation, then asks the diagnostic question the rep isn't asking themselves.

The banned phrases

Klo is explicitly forbidden from writing "Great question!", "It depends…", "Have you considered…", "pivot to your value proposition", "highlight your differentiators", or "leverage your unique strengths". And the governing rule: every non-empty reply must reference at least one specific detail from this deal — a stakeholder by name, a specific number, a named competitor or blocker. If the reply could apply to any deal at that stage, it's a failure and gets rewritten.

Scripts, not principles

Klosure keeps a searchable library of sales moves. On a given turn it retrieves the tactics closest to what the rep just said, filtered by deal stage and buyer signal — and then lifts the script. Reps want a copy-pasteable line, not a principle to figure out, so Klo adapts the move's dialogue to the deal and puts the adapted line in quotes:

Not "tell her you can drop a feature instead of price" — instead: Say to Reem: "I can get to $25K — at that level we'd drop the cultural-specifics module. Does that fit?"

One move per reply, two at most. Klo never names the move or cites the library — the rep wants the play, not a lesson. The shape is always the same two beats: one sentence of strategy, then the literal script.

Deal realism by region

Klosure encodes how deals actually behave in the markets its users sell into, rather than assuming a US calendar.

  • Working weeks. Friday–Saturday in Saudi Arabia, Bahrain, Kuwait and Oman. Saturday–Sunday in the UAE and Qatar (the UAE moved in 2022), with Friday afternoon a half-day. Friday is dead for buyer outreach in Friday–Saturday markets.
  • Holidays are treated as silence, not decay. Ramadan shrinks working hours by roughly a quarter and slows procurement. Eid al-Fitr and Eid al-Adha freeze the Gulf for 7–10 days. Diwali, US Thanksgiving, Christmas–New Year and the European August all do the same. When buyer silence overlaps a major local holiday, Klosure downgrades the decay tier and tells the rep why — then resumes normal rules the day after.
  • Procurement floors. Saudi enterprise and government: 60–120 days minimum to signature. UAE enterprise: 30–60, government 60–120. India SMB: 2–4 weeks; India enterprise: 30–60 days. US mid-market SaaS: 2–4 weeks; US enterprise: 30–90. Europe adds 2–4 weeks for data-protection review on anything touching data. When a deal's deadline is tighter than its market's floor, Klo names the gap and pushes the rep to escalate, get an exception, or reset the date.
  • Cross-border friction the rep may not have planned for: local-entity invoicing, withholding tax, VAT/GST registration, data-residency clauses, payment rails. A common stall Klo raises early — procurement insisting on a local entity to invoice from.
  • Channel norms. Gulf B2B runs on WhatsApp for the live conversation and email for the formal trail. India SMB runs on email, LinkedIn and WhatsApp. US B2B runs on email, LinkedIn and shared rooms, rarely WhatsApp.

The voice guardrail is as important as the knowledge: state the specific implication — "Eid week starts Apr 9 — get the proposal in by Apr 5 or this slips to May" — never lecture a rep about a market they work in every day.

Before the call: Discovery Prep

Before a discovery call, Klo hands the rep a tailored brief: an opener tuned to how the lead arrived, the questions that matter for this buyer (built from the methodology's own probes), what a green-flag versus a red-flag answer sounds like, the two or three walk-away disqualifiers, and who still needs to be in the room. It is grounded in the rep's own profile — what they sell, their ICP, their personas, their most common deal-killer.

Qualifying: go, park, or keep probing

On an opportunity, Klo renders a verdict on top of the automatic scorecard: qualify, nurture or keep probing, the single risk that kills it, a suggested value band, and the one move — plus a manager-only read on how the rep is qualifying.

The opportunity workspace is stateful rather than a flat checklist: it leads with where the lead actually stands — new → prepped → no-show or call logged → assessed → nurturing or disqualified — and the single next move, collapsing completed steps. Once a call has genuinely happened, the assessment runs itself.

Arming the champion: the business case

Klosure's business-case generator is built on a piece of B2B reality most tools ignore: the buyer is passive. They won't do homework, hand over numbers, or articulate "why now". The rep pulls the deal. So Klo arms the rep — it proposes the urgency angle, builds a defensible ROI model, and suggests who likely signs and a path to them — instead of listing things to extract from a disengaged buyer.

Nine components: executive summary, the problem, the cost of inaction, the proposed change, why now, ROI in three scenarios, total cost of ownership, payback, risks, the ask, and the rep's own actions.

Numbers integrity is enforced. Figures the buyer actually stated, the deal value, and recorded decisions are cited as real. Everything else is a clearly labelled assumption to validate — never dressed up as the buyer's confirmed number. Klo can also run a short set of optional prep questions first — the high-leverage gaps a CFO will probe — and anything the rep answers is then treated as confirmed fact rather than assumption.

Getting through procurement

Three capabilities cover the work that stalls enterprise and IT-services deals after the buyer has already said yes.

  • Security questionnaires. Klo drafts answers to an inbound security or vendor questionnaire from the team's own prior responses. Every answer a rep promotes back into the corpus compounds it, so Klo answers more of each new questionnaire in the team's own words over time. Grounding is strict: answers come only from the corpus, and any question the corpus doesn't cover is flagged as needing input, never fabricated. Klosure will not invent a security claim or a certification.
  • Contract review. A first-pass commercial review of an inbound MSA, order form or DPA. Klo flags clauses that hit a team red line or diverge from the team's preferred position and proposes a redline. Well-known deal-killers — uncapped liability, broad IP assignment, one-sided termination, unlimited indemnity — are flagged even without a playbook entry, but never invented: only clauses actually present in the document are flagged. The raw contract text is not stored; only clause summaries and proposed redlines are kept.
  • Procurement tracker. The steps between "verbal yes" and "signed" tracked in one place on the deal.

Competitive defence and commercial levers

Managers import the team's battle cards — how we win, their landmines, proof points per competitor — and the deal desk's commercial levers, such as a paid pilot, a phased SOW or milestone billing, each with when to use it and its guardrails. Reps then consume both through Proven Plays, where Klo fuses the team's own moat with the tactic library, under a no-invented-discount guardrail.

The approval queue

Everything buyer-facing that Klo authors waits in one place for a human. The rep approves, edits, or dismisses. Approval sends it; dismissal sends nothing. Only the deal's owner or a manager who manages them can decide.

Meetings

Klo joins meetings as a visible notetaker across Zoom, Google Meet and Microsoft Teams. Dispatch is automatic, and the rep can always override it: "Ask Klo to join" forces Klo into a meeting the matcher skipped, and "Remove Klo" cancels the bot and marks the meeting opted out so nothing re-adds it later.

When the transcript is ready it is posted into the deal and the deal is re-read — so a meeting updates confidence, stakeholders, blockers and next actions with nobody typing a note. Klosure then distils the call into call signals: talk ratio, discovery questions asked, whether a next step was secured, whether a multi-thread ask was made, and whether the rep actually practised the skill they're currently working on. Meeting minutes are metered from the real recorded length, not the calendar slot.

After the deal closes

  • Deal retrospective. When a deal closes — won or lost — Klo writes a structured brief on that deal: days to close, days stuck, missed commitments, the stage path, what went right and what almost killed it with evidence, the turning points and whether each moved the deal forward, backward or stalled it, and a numbered list of what to repeat next time. It runs automatically, and again on demand if the rep wants to debrief with Klo.
  • Win/loss interview draft. Klo drafts a short, buyer-safe interview email and queues it for approval. Buyer-safety is structural, not merely instructed: the drafting step is fed only buyer-safe inputs and never sees the seller-side retrospective, confidence or blockers, so none of that can leak.
  • Patterns across closes. Retrospectives are read back into the weekly reflection, which names the pattern that repeats rather than recounting any one deal: "Three of your last five losses were no-decision, and in each the economic buyer never joined a call." That is the finding. "You lost Acme" is not.

Getting better: Reflect, scorecards and Growth Focus

Every week Klo writes a 30-day rolling reflection — private to the rep — showing what's working, where time is leaking, and the one deal that needs them, ending by holding them to a single commitment for the week ahead. Managers get a team-level reflection built from raw data; a manager's reflection never reads another person's reflection.

Alongside it sits a measured weekly scorecard across six dimensions, each 0–100 with an evidence-cited note and a week-over-week delta:

DimensionWhat it measures
Activity & ProspectingCustomer touches — emails, meetings, messages — plus new deals created
Pipeline HygieneDeals kept current; penalises zero-touch and stale deals and missing next actions
Deal ProgressionStages advanced and momentum, against stalls
Stakeholder CoverageMulti-threading — a champion plus a second stakeholder, not single-threading
Follow-throughPending tasks and next actions completed, against those left open or overdue
Forecast DisciplineConfidence realism against the evidence — it rewards honesty, not optimism

The manager sees the scorecard and coaches on it, without ever reading the rep's private reflection narrative.

Growth Focus — one skill at a time, measured

Each rep has one active Growth Focus: their weakest dimension turned into a plain-language behaviour, with a baseline for where they started and a graduation bar — hold above a threshold for N weeks. It persists across weeks until it graduates, and then Klo proposes the next rung. Because it's tied to a measured dimension, improvement reads as caused — "Stakeholder Coverage +12 since you started this focus" — rather than as weather. And because call signals check whether the rep actually practised it on a live call, the loop closes.

09

What do sales managers get?

Managers get their own workspace built on the same deal state the reps see — so a 1:1 starts from evidence instead of anecdote, and no two screens can disagree about a number.

The cockpit — a five-minute screen

  1. A Klo headline — a four-sentence VP soundbite on the week.
  2. The number bar — the call, percentage to target, the delta, days left, coverage.
  3. The motion strip — Won, Lost, Added, Slipped, Dark, week over week.
  4. Patterns — the top three cross-deal patterns that matter.
  5. Rep spotlight — rep of the week, and who needs help.
  6. A decisions queue — persistent and checkable, so decisions don't evaporate.

Motion is computed, not narrated. Against last Sunday's snapshot: won and lost are real status transitions in the last seven days; added is created in the last seven and absent from the prior snapshot; slipped means the deal was active in both snapshots and confidence dropped by ten points or more; dark means active with no buyer message in five or more days. In week one there is no prior snapshot, so the interface subdues the "vs last week" comparison rather than inventing one.

Patterns are detected by code, not imagined: deals stuck in a stage past a threshold, pipeline generation down week over week, reps slipping confidence across multiple deals, buyer activity dropping across a set of deals, one deal carrying an outsized share of the open call, and deals past their close date. The AI may rewrite the wording in VP voice — never the label, the deals, the severity or the kind.

The rule behind every manager narrative

Every dollar figure, percentage, confidence value and deal identity is owned by the code. The AI only picks deals from candidate sets the code supplied, and writes prose above numbers it cannot alter. AI-echoed numbers are never trusted. The rep's weekly brief and the company roll-up go further and use no AI at all — their reasons are deterministic — so a rep's brief can never contradict the rep's own forecast view.

Weekly Review — the Monday meeting, run properly

A shared-screen ritual with two modes. The Overview is the team opener — the number, what moved, what to celebrate. By Rep is the round-robin: click through a rail of reps, each opening that rep's session — last week's performance, their number, the deals to inspect, and this week's commitments captured live.

Klo prepares each rep in advance: two or three proposed commitments (optionally tied to a specific deal), one probing question the manager should ask, and a private coach note — the candid read on sandbagging, where they're stuck, whether they need a 1:1 — which never appears on the shared screen.

Staffing: who should own this deal?

The manager describes a deal or an incoming lead, and Klo recommends an owner — reasoning over a per-rep scorecard built from every deal on the team: current load, win/loss record, deal-size fit, cycle time, and profile. Klo recommends; it never assigns. The manager makes the call.

For a batch, the manager uploads a CSV of fresh leads and Klo recommends an owner for every row in one pass. The critical difference from a row-by-row scorer is that it distributes: scoring each lead independently against today's snapshot would pile every lead onto whoever happens to be lightest right now, so the batch is reasoned about as a whole.

Ask Klo, scoped to who's asking

SurfaceWhat Klo seesHow it talks
Inside a dealThat deal's full historyDeal coach
Rep pipelineThe rep's own active dealsPeer and self-coach — tactical, what to do next
Team pipelineEvery active deal across every memberManager voice — reps, risk concentration, where pipeline is stuck
StaffingPer-rep scorecardsAssignment voice

Company structure

Klosure models Company → Teams → Reps, not a flat list. Roles are company admin, sales head, manager and rep; multiple managers per team are supported and honoured by the authorisation layer, and deals carry their team and organisation for attribution. A sales head without their own team gets the org-wide view and a cross-team roll-up.

10

What does the forecast look like?

Board-ready and deal-deep — and computed by a single engine shared by every surface, so the Monday brief, the weekly review, the cockpit and the forecast tab can never disagree.

CategoryConfidence
Commit65% and above
Best case45–64%
Pipeline25–44%
Omitted from the callBelow 25%

"Walk" and "Omitted" are not the same thing

Klosure uses two related four-way splits and they are easy to conflate. Walk is the fourth verdict of Evaluate — Klo's judgement on a single deal: Commit, Best case, Pipeline or Walk. Omitted is the fourth bucket of the forecast engine, which sorts deals by confidence against the bands above. A deal can be called Walk by Evaluate while still sitting in the Pipeline band, because one is a judgement about the deal and the other is arithmetic about the number.

The forecast shows Closed, Commit, Best case, the weighted call and full pipeline against a target you set — every scenario auditable down to the individual deal and the buyer signal underneath its score. A deal counts in-period if it has a real deadline falling before the period ends; overdue deals still count, and deals with no deadline are excluded rather than quietly assumed.

The risk radar

Five groups, each with the dollars exposed before the period ends:

RiskDefinition
SlippingKlo cut confidence by 10 points or more on the last read
Gone darkNo buyer-side contact in seven or more days
Past close dateThe deadline passed and the deal is still open
No next stepNothing booked, and no action queued
ConcentrationA single deal carries 30% or more of the open call

Pipeline itself has four lenses — list, by rep, by stage, and Build, which shows where new business is coming from by source and by rep.

11

What does the buyer see?

The buyer opens a per-recipient magic link — no signup, no password — into a room co-branded to the seller. It is the only part of Klosure a buyer ever touches, and it is deliberately not a login.

Inside: a plain-language read of where the deal stands, the mutual action plan with owners and due dates, the business case, shared documents, a momentum indicator, a Q&A section, and an Ask box. Anything the buyer writes goes straight to the rep — never to a bot. The buyer side is always free and never pays.

Why each buyer gets their own link

Each recipient gets a unique 256-bit token, of which Klosure stores only a hash. The raw token travels only in that person's email, inside the URL fragment — so it is never sent to a server, never logged, and never leaks through a referrer header. It is never returned to the rep either.

That last point is a product decision, not a technicality: the rep must not hold the buyer's link, because that is exactly what makes the buyer's later actions an independent signal. When a room is opened, forwarded, or answered, the seller learns something real about the buying committee rather than something the rep could have produced themselves.

Corporate link scanners don't fake engagement

Enterprise mail security pre-fetches every link. Left alone, that would fabricate "room opened" events and corrupt the committee-presence signal entirely. Klosure only mints a session on an explicit human "Enter" click, and rejects known scanner agents as a backstop. The pre-click landing screen is served by a separate endpoint that returns only branding and the seller's company name — no token exchange, no session, no logged event, nothing sensitive.

The buyer cannot see the seller's strategy

The buyer-facing response is assembled field by field from an allowlist. It contains only the room title, the seller's name, the content sections, and a single live question for that contact. It can never contain the deal state, the confidence score, the confidence factors, blockers, deal checks, the seller's identity, token hashes, or any other contact. The buyer's momentum indicator is a different number on a different scale from the seller's confidence, by design.

Klo's questions to the buyer are constrained and rep-approved

Klo proposes one to three short questions to ask the buyer in the room. The question type is a closed set — logistical, value unlock, or objection surface — which makes a "are you still interested?" purchase-intent question structurally impossible to generate rather than merely discouraged.

By default those questions are drafts. The rep approves or dismisses each one before the buyer ever sees it, and the rep previews the buyer's entire view before sharing the room. Auto-send exists, but it is a per-deal setting the rep switches on themselves and can reverse at any time.

When the buyer answers, that answer is recorded as fact shown to the seller — it is display-only and never feeds the confidence engine. Access can be revoked instantly: every buyer request re-checks the contact against the database, so revocation and window expiry take effect immediately.

12

What does Klosure connect to?

IntegrationDirectionNotes
Gmail · Google CalendarReadHosted OAuth, signature-verified webhooks, reconciliation backstop
Microsoft 365 · Outlook · Microsoft CalendarReadGraph OAuth with PKCE; subscriptions auto-renewed; resumable delta sync
Zoom · Google Meet · Microsoft TeamsRead (transcripts)Visible notetaker bot with rep opt-out, plus a polling sweep
HubSpotLeads in, deals outOAuth or private-app token; instant lead webhook plus daily sweep; idempotent one-way deal push
Zoho CRMLeads in, deals outData-centre-aware OAuth; same lead inflow and push model
Excel / CSVIn and outStaged onboarding import; role-scoped CSV export
RazorpayBillingSubscriptions, seat changes, signed webhooks, receipts

Does Klosure replace my CRM?

No. Klosure runs alongside the CRM. The push is deliberately one-directional and idempotent: the first push creates the CRM opportunity and remembers its ID; every later push updates that same record, so a deal is never duplicated. Klosure's data is generated by the deal itself, so it stays the source of truth — the CRM is where the deal gets reported. Lead intake runs the other way: leads land in Klosure the instant they're created in the CRM, exactly once, even across overlapping sync windows.

How do I get my existing pipeline in?

A staged import: parse, validate, stage, then create explicitly row by row — so unvalidated data never lands in the system, and a created row can never be imported twice. All spreadsheet content is treated strictly as data, never instructions, and any source-CRM stage or probability is carried in as a labelled reference only. It is never fed into Klo's verdict, because importing another system's optimism would defeat the point.

13

What runs automatically?

Klosure's scheduled work is timezone-aware, idempotent and self-healing — and there is a watchdog whose entire job is to notice when it isn't.

The Monday cascade

A company's Monday morning runs in strict dependency order, so no brief is ever built on stale data:

Phase A — UPDATE (bottom-up)
  1. Deals       re-read every alive deal across every team
  2. Rep views   each rep's reflection regenerated in the same pass
  3. Manager     each team's cockpit and weekly review
  4. Sales head  the company roll-up generated LAST, on fresh teams

Phase B — EMAIL (only after Phase A completes)
  5. Rep         personal weekly brief
  6. Manager     Monday brief
  7. Sales head  company roll-up

It fires on the company's own clock, so a sales head over multi-timezone teams is briefed exactly once — after every team underneath them is fresh. Per-team deal re-reads run about two hours before the emails go out, precisely so the briefs summarise current state rather than last week's.

The watchdog

A cascade like this can fail silently — an expired secret, a timeout, or a logic error all leave no visible trace, and the only symptom is that Monday's emails never arrive. So a daily, side-effect-free watchdog checks two things: whether the scheduled credentials still match (catching drift before the next Monday), and whether every company has actually completed a run in the last eight days. A problem sends an alert the same day; no problem sends nothing. It is deliberately configured so that it cannot be disabled by the very drift it exists to detect.

Other scheduled work

  • Sunday evening — deal snapshots are written so the cockpit's week-over-week motion has something real to compare against.
  • Daily — trial and plan expiry, trial-ending warnings, data-retention warnings, and lead reconciliation from connected CRMs.
  • Hourly — mailbox delta syncs across every connected account.
  • Continuously — transcript sweeps and meeting re-scans that catch anything a webhook missed.

14

Security, safety, and how Klo behaves

Klo never goes around the rep

  • Klo never sends email on its own. Drafts stay drafts until the rep presses send. This is an architectural invariant, not a setting.
  • Buyer-facing questions default to approval mode. Auto-send is opt-in per deal and reversible at any moment.
  • The rep previews the buyer's entire view before sharing a room.
  • Everything the buyer writes goes to the rep, never to a bot.
  • The AI proposes; deterministic code executes. Every change to a deal's state runs through an authorisation-checked operation, and every one of them is reversible.
  • The AI never gets between the seller and their customer relationship. That is the line the product is built around.

Access control lives in the database

Permissions are enforced by row-level security in Postgres, not by hiding buttons in the interface. Reps see only their own deals. Managers see only the teams they manage. Sales heads see their organisation. Buyers see only the room they were invited to.

The Buyer Room's tables go further: they have row-level security enabled with no policies at all, which denies every direct request. The only access path is server-side functions scoped to a single room and a single contact. Manager-only content — the candid read on how a rep is running a deal — is stored in separate tables and returned only to a manager who actually manages that rep.

Secrets, tokens and webhooks

  • Mailbox and CRM refresh tokens are encrypted at rest with AES-256-GCM; tokens are never logged in plaintext.
  • OAuth round-trips carry an encrypted, authenticated state binding the user, organisation and provider, so a callback cannot be tampered onto another tenant. PKCE is used where the provider supports it.
  • Buyer magic-link tokens are stored only as SHA-256 hashes.
  • Every inbound webhook is signature-verified — including a timing-safe comparison on billing events.
  • No AI or infrastructure secrets ship in the browser bundle.

Prompt injection: deal content is untrusted input

Deals contain text written by other people, so Klosure treats that text as data rather than instruction. Buyer and deal context is fenced as untrusted reference material in the prompts that produce buyer-facing output. Imported spreadsheet cells are wrapped as quoted data and explicitly marked as never-instructions. Buyer answers are display-only and never reach the confidence engine. The buyer-question generator uses a closed enumeration, so an out-of-bounds question is structurally impossible rather than merely discouraged. And the confidence engine has the deterministic ceiling behind it — even if a model could be talked into a number, code clamps it back down. Klosure maintains a dedicated prompt-hardening test suite covering injection, buyer-leakage temptation, contradictory signals, and messy multilingual input.

Data handling

Your deal data is never used to train any AI model. Klo runs on frontier large language models accessed through enterprise API terms that prohibit training on customer data, with model choice governed centrally by a two-tier policy so every surface a person reads stays consistent. Data is encrypted in transit and at rest in a managed PostgreSQL database. Deal rooms are private by default with no public discovery, and a buyer reaches a room only through a per-recipient link. Meeting capture uses a visible bot and the rep can remove it from any meeting.

When an account lapses

Trials expire to read-only rather than vanishing, with warnings before anything is removed — and the warning copy always frames the action honestly as "upgrade to keep your account", never as a misleading "click here to keep your data". Closed deal rooms are never deleted: a won or lost deal locks and stays as history, and reopening is one click.

15

How much does Klosure cost?

PlanPriceWhat it is
TrialFree, 14 daysFull Klo coaching, email and meeting capture, buyer room sharing
Growth$79 / AED 290 / ₹7,500 per seat per monthThe standard paid plan — everything Klosure does
EnterpriseContact salesCustom seat counts, higher pooled quotas, dedicated support

Growth includes: Klo coaching on every conversation; the dynamic dashboard for rep and client; the manager dashboard with team roll-up; daily focus and weekly briefs for manager and rep; Ask Klo trained on your business; the confidence engine; email and notetaker capture across Gmail, Outlook, Zoom, Meet and Teams; 15 hours of notetaker meetings per seat, pooled across the team; and Klo learning from every email and meeting.

Quotas are pooled at team level, not per rep — meeting minutes, chat and voice all draw from a shared pool sized by seat count, with alerts to the team owner at 80% and 100%. Seat changes follow the industry norm: added seats apply immediately with proration; removed seats take effect at the end of the billing cycle, with the pending count shown in advance. The buyer side is always free.

If Klosure saves even one deal a quarter, it pays for itself several times over. Book a 20-minute walkthrough for pricing tailored to your team.

16

Who is Klosure for?

B2B sales teams, sales managers and revenue leaders who want to move deals forward, not just log them — running considered, multi-stakeholder deals where a single quiet stakeholder can cost a quarter.

  • Industries: B2B SaaS, IT services and systems integration, and project-based revenue.
  • Team shape: typically 10–50 reps — a sales head with two to five first-line managers underneath.
  • Deal shape: roughly $20K–$500K, cycles measured in weeks to months, with real procurement involved.
  • Geography: especially strong fit in the Gulf (UAE, Saudi Arabia, Qatar, Bahrain, Kuwait, Oman) and India, because the regional realism is encoded rather than assumed — but sold globally, with US, UK and EU norms covered by the same engine.
PersonaWhat they get
Sales repFocus, leads, pipeline, Ask Klo, Reflect — plus the deal room, meetings, import and export
Sales managerWeekly review, pipeline, forecast, staffing, Ask Klo, bulk lead assignment
Sales head / revenue leaderCross-team roll-up, the company brief, org and team administration
BuyerThe Buyer Room — no signup, no password, always free

17

How is Klosure different?

CategoryWhat it doesWhere it stopsKlosure's difference
CRM — Salesforce, HubSpot, ZohoRecords what reps typeDoesn't read the buyerKlosure reads what the buyer actually did, and runs alongside the CRM rather than replacing it
Digital sales rooms — Aligned, Trumpet, GetAcceptSeller-side content spacesThe rep uploads a proposal and hopes it gets readKlosure adds an AI that tracks commitments on both sides, spots the moment one goes quiet, and drafts the follow-up for the rep to approve
Conversation intelligenceRecords and analyses callsStops at the callKlosure fuses calls with email, calendar and silence into one deal state, then converts it into a next move and a forecast number
Chat tools — Slack, WhatsAppWhere the conversation happensNo deal context, no accountabilityKlosure is the deal context, and holds both sides to what they committed

The eight things that are hard to copy

  1. A deal record no human types into.
  2. A confidence score the person being coached cannot talk up.
  3. Deterministic ceilings in code that outrank the model's own judgment.
  4. Evidence attached to every factor, so the forecast survives a board review.
  5. A human approval gate on everything that reaches a buyer.
  6. A buyer room whose security model makes buyer behaviour an independent signal rather than a rep-reported one.
  7. Deterministic dollar figures everywhere, with the AI narrating above them and never inside them.
  8. Regional deal realism — working weeks, holiday freezes, procurement floors — encoded rather than assumed.

See the full teardown on the Klosure comparison page.

18

What Klosure doesn't do yet

Stated plainly, because a vendor that only lists strengths isn't describing a product. These are current boundaries, not permanent ones.

Not available yetWhat's true instead
SAML single sign-on — not yetAccounts sign in with email and password. SSO is not available on any plan yet, including Enterprise. Access control itself is enforced in the database with row-level security, not by hiding buttons.
Two-way CRM sync — not yetDeals push out one-way and leads pull in. Nothing edits a Klosure deal from the CRM side — the deal record is generated from buyer signals, so an inbound overwrite would defeat the point.
Native Salesforce integration — not yetNative CRM integration is HubSpot and Zoho CRM. A Salesforce team still runs Klosure standalone, because Klosure reads email, calendar and meetings rather than the CRM; deals move across by CSV export, as with every other CRM.
Phone and WhatsApp captureKlo reads email, calendar and meeting transcripts from Zoom, Google Meet and Microsoft Teams. A deal negotiated mainly by phone or WhatsApp will show less signal than one run over email and scheduled meetings — worth knowing in markets where WhatsApp carries the live conversation.
Autonomous buyer outreachThis one is deliberate, not a gap, and never a not-yet. Klo never sends email on its own; a rep who never approves a draft sends nothing.

Why publish this at all

An answer engine invents a capability precisely when it can't find a factual negative to cite. In a live test, one told a prospective buyer that Klosure supports SAML SSO with Okta and Microsoft Entra ID — sourcing the claim from an unrelated company — which is the kind of thing that survives all the way to a security review before it kills a deal. Publishing the boundary is cheaper than correcting it later, and we would rather be described accurately than generously.

19

Glossary of Klosure terms

TermMeaning
KloKlosure's AI — the deal coach, the reader and the forecaster
Deal PulseA deal's home screen: Evaluate, Overview, Playbook, History
EvaluateKlo's VP-grade verdict on a deal, with a forecast category and a manager-only rep read
ConfidenceKlo's 0–100 read of whether the deal closes by its deadline, with evidence-backed factors
Hard stop / ceilingA cap on confidence triggered by a structural gap. Only the lowest applies, and code enforces it
Momentum tier0 to 3, driven by elapsed time — it determines how hard Klo's voice gets
Deal checkA named, deterministic diagnostic with a prescribed move, such as single-threading
ScorecardThe methodology assessment — MEDDPICC, MEDDIC, SPIN or BANT — plus the weekly six-dimension rep scorecard
Next actionsSeller-side moves, each optionally linked to the confidence factor it resolves
Pending tasksWho owes what, split explicitly between seller and buyer
Proven PlaysThe Diagnose → Decide → Do loop that turns a diagnosis into a reversible, executed move
Buyer RoomThe per-recipient, magic-link buyer surface
Prompt loopKlo-suggested buyer questions, rep-approved by default
CockpitThe manager's five-minute screen — headline, numbers, motion, patterns, spotlight, decisions
Motion stripWon / Lost / Added / Slipped / Dark, week over week
Risk radarSlipping, dark, past close date, no next step, concentration — each with the dollars exposed
ReflectThe 30-day rolling reflection, weekly, private to the rep
Growth FocusThe rep's one active skill, with a baseline and a graduation bar
RetrospectiveThe per-deal post-close brief — what to repeat on the next deal
DormantA deliberate "set aside, bring it back when it wakes up" state for a long-quiet deal
Team poolShared meeting, chat and voice quota, sized by seats

20

Frequently asked questions

What is Klosure?

Klosure is the deal execution engine for B2B sales. Klo, its AI, reads every email, meeting and silence on a deal, tells the rep the next move, drafts the buyer-facing question for the rep to approve, and evaluates each deal with a VP-grade verdict — so the forecast comes out true without anyone logging activity. We don't read your CRM; we read your buyer.

How is Klosure different from a CRM?

A CRM records what reps type; Klosure reads what buyers actually do. That means better selling instead of better reporting, natural adoption instead of forced updates, and a forecast built from buyer reality instead of optimistic entries. Klosure works alongside your CRM — it pushes deals into it one-way and pulls leads out — but the truth of each deal comes from the buyer's words and silences, not a data-entry field.

How is Klosure different from a digital sales room like Aligned or Trumpet?

Those are seller-side content spaces — the rep uploads a proposal and hopes the buyer reads it. Klosure is a living deal with an AI coach behind it: Klo tracks commitments on both sides, spots the moment one goes quiet, and drafts the follow-up — which the rep approves before it reaches the buyer. The deal stops drifting quietly, without the AI ever going around the rep.

Can Klo message my buyer without me?

No — not unless you turn that on. Klo drafts buyer-facing questions and they sit as drafts until you press "Send to buyer". Approval is the default mode; auto-send is a per-deal setting you switch on yourself, and you can stop any live question at any time. You also preview the buyer's entire view before you share the room, and anything the buyer writes back goes straight to you, never to a bot. The AI never gets between you and your customer relationship.

Does Klosure require reps to log activity?

No. That is the point of the product. Klosure reads email, calendar and meeting transcripts from the tools your team already uses, and rebuilds the deal record from those signals. There is no activity logging, no CRM overlay to maintain, and no browser extension to install. Adoption isn't enforced, because there is nothing to enforce.

How does Klosure calculate deal confidence?

Confidence is a 0–100 read of whether a deal closes by its deadline, assembled from stage progression against days remaining, pending-task health, stakeholder coverage, buyer engagement, how certain each recorded fact is, and direct buyer signals. Every factor carries the conversation evidence that grounds it — a quote, the source message and the date — or is explicitly flagged as being based on an absence. It is a structured assessment, not a calibrated statistical probability, and Klosure says so.

Can a rep talk the confidence score up?

No, and that is enforced deliberately. Klo will not move the score because a rep asks for a higher number, expresses optimism, vents, or restates known facts in a better tone. Only real signals move it: what the buyer said, system signals like emails and meeting transcripts, verifiable new facts, time-based decay, and evidence-grounded changes to blockers, decisions or stakeholders. If a rep asks for a bump, Klo refuses in chat and names the specific factor that would have to change instead.

What are Klosure's confidence hard stops?

Structural gaps cap the score no matter how good the deal feels. If the signing authority is unknown with 30 days or less to the deadline, confidence cannot read above 35%. Unknown signing authority at any deadline caps it at 55%. Ten days of buyer silence caps it at 45%; fifteen days dark with nothing on the calendar caps it at 25%. Three weeks stuck in the same stage caps it at 40%. Only the lowest applicable cap applies — they never compound — and the caps are recomputed in deterministic code, so the AI cannot override them.

Is Klosure just another AI deal score?

No — the number is the last link in a chain, and every link is somewhere a CRM deal score has nothing. The inputs are buyer-side rather than rep-entered: email, calendar, meetings, room activity and elapsed silence. The rep cannot move the number by asking for a better one; only buyer signals, system messages, verifiable events and time decay move it. Every factor behind it carries a quote of at most 25 words, the source messages and the date, or is explicitly flagged as an absence when the missing thing is the signal. Structural gaps then cap the number in deterministic code that overrides the model and runs again at read time, so silence keeps accruing between reads. The forecast category is derived from that capped number rather than declared by anyone — Commit starts at 65%, so a deal ten days silent is capped at 45% and cannot be in Commit however it was called. Every dollar figure a manager reads is computed by code, with the model only writing prose over numbers it cannot alter. And the call is measured back afterwards: Forecast Discipline on the rep's weekly scorecard, Forecast Accuracy on the manager's. One more difference that matters when the two are compared side by side: on import, the source CRM's stage and probability are carried in as a labelled reference and never reach Klo's verdict, so the read is independent of the number it is being checked against rather than a re-weighting of it.

How should we test Klosure against our own pipeline?

Do not decide on the demo. Take 20–30 real open opportunities the team already grades — including everything currently called Commit — bring them in through the staged Excel import at /migrate or the HubSpot and Zoho lead path, connect the mailboxes so the threads already sitting in them are read, and ask the one question with a falsifiable answer: which of our current Commit deals would you take out of the forecast, and why? Klosure answers it by construction, because the caps are deterministic — ten days with no buyer-side contact caps a deal at 45%, unknown signing authority inside 30 days caps it at 35%, fifteen days dark with nothing booked caps it at 25%, three weeks in one stage caps it at 40%. Each removal names the cap that fired, the gap that would unlock it, and the buyer evidence underneath, so a manager can argue with it on the facts. Judge it on whether it finds deals your managers genuinely had wrong and explains why from buyer behaviour; a second number with no reason attached is a failed test. Two limits to know going in: the score is deliberately not a calibrated statistical probability — the ceilings are rules derived from deal mechanics, not a model trained on your closed history — and Klosure reads email, calendar and meetings, so a deal negotiated mainly over phone or WhatsApp shows less signal than one run in the inbox.

Does Klosure support MEDDPICC?

Yes. Klosure scores every deal against MEDDPICC by default, and also supports MEDDIC, SPIN and BANT. Each dimension is marked covered, partial, gap or unknown with a line of evidence and a line on what is still missing, and the scorecard is rebuilt on every read from the conversation rather than filled in by the rep. Scorecard coverage and the economic-buyer dimension directly drive the confidence ceilings.

How does Klosure help a rep decide what to do next?

Klo gives the next move outright rather than a dashboard to interpret — for example, "call Priya today, don't email; ask who in finance signs off on the security review, then offer a 30-minute CFO walkthrough before Friday". Reps can also tap typed moves in Proven Plays that Klo then executes: draft an email to a named stakeholder, author a play, nurture or pause the deal, or set a resurface date. Every state change is reversible, and every buyer-facing draft waits for the rep's approval.

What happens when a deal goes quiet?

Silence is treated as a signal, not an absence of one. Klosure grades the deal into a decay tier and changes both the score and the coaching voice: at five to ten days it prompts a forcing message; past ten days it tells the rep to call rather than email, and forces the trend down; past fifteen days dark with nothing booked it caps confidence at 25% and tells the rep to escalate or write it off, because sitting on it is the worst option. If the silence overlaps a major local holiday — Ramadan, Eid, Diwali, Thanksgiving, the European August — Klosure downgrades the decay tier and says why.

Does Klosure understand Gulf and India sales cycles?

Yes, explicitly. It knows the working week differs across the Gulf, that Friday is dead for outreach in Friday–Saturday markets, that Ramadan and Eid freeze procurement, and that Saudi enterprise and government deals take 60–120 days minimum while India SMB runs in 2–4 weeks. When a deal's deadline is tighter than its market's realistic floor, Klo names the gap and pushes the rep to escalate, get an exception, or reset the date rather than pretending the date is achievable.

What do sales managers get from Klosure?

A cockpit that reads in five minutes: a Klo-written headline, the number against target, what moved this week (won, lost, added, slipped, dark), the top cross-deal patterns, a rep spotlight, and a persistent decisions queue. Plus a Monday weekly-review runner with per-rep prep and private coach notes, a staffing recommender that reasons over per-rep scorecards, bulk lead assignment that distributes across the team, and Ask Klo across the whole pipeline. Every dollar figure and every deal identity on those screens is computed by code; the AI only writes the prose above them.

Is the forecast trustworthy?

The forecast is deterministic and auditable. Deals land in Commit at 65% confidence and above, Best case at 45–64%, Pipeline at 25–44%, and are omitted below 25%. A single engine computes those figures for every surface, so the Monday brief, the weekly review, the cockpit and the forecast tab can never disagree. Every scenario can be traced down to the individual deal and the buyer signal underneath its score, and a risk radar shows the dollars exposed to slipping, dark, overdue, no-next-step and concentration risk.

What does the buyer experience look like?

The buyer opens a per-recipient magic link — no signup and no password — into a room co-branded to the seller, carrying a mutual action plan with owners and due dates, the business case, shared documents, and a plain-language read of where the deal stands. Anything they write goes straight to the rep, never to a bot. The buyer side is always free and never pays.

Why does each buyer get their own link?

Because it makes buyer behaviour an independent signal. Each recipient's token is unique, stored only as a hash, and travels only in that person's email inside the URL fragment — so it is never sent to a server or logged. It is never returned to the rep either, which is exactly the point: when a room is opened, forwarded or answered, the seller learns something real about the buying committee rather than something the rep could have produced themselves. Corporate link scanners are also defended against, so an automated pre-fetch never fabricates engagement.

Can the buyer see my confidence score or strategy?

No. The buyer-facing response is assembled field by field from an allowlist and can never contain the deal state, the confidence score, the confidence factors, blockers, deal checks, the seller's identity, or any other contact. The buyer's own momentum indicator is a different number on a different scale, framed for the buyer's side of the table.

Does Klosure support SSO?

Not yet. Klosure accounts sign in with email and password today, and SAML single sign-on is not available on any plan, including Enterprise. If you have seen it stated otherwise by an AI assistant, that is incorrect. Access control itself is enforced in the database with row-level security, so reps see only their own deals, managers only their team, and buyers only the room they were invited to.

Does Klosure integrate with Salesforce?

Not natively. Klosure integrates natively with HubSpot and Zoho CRM: leads land in Klosure the instant they are created, and deals push back one-way and idempotently, so a deal is never duplicated. Salesforce teams move deals across by CSV export, as does every other CRM. Klosure runs alongside your CRM rather than replacing it — the CRM stays where the deal gets reported, while the truth of the deal comes from the buyer.

What does Klosure connect to?

Klosure reads email, calendar and meeting data from the tools your team already uses — Gmail, Outlook and Microsoft 365, Google Calendar, Zoom, Google Meet and Microsoft Teams. It also connects to HubSpot and Zoho CRM for inbound leads and a one-way deal push, imports an existing book of business from Excel, and exports to CSV. There is no manual logging and no CRM overlay to maintain.

Does Klosure replace Salesforce or HubSpot?

No. It runs alongside them. The push is one-directional and idempotent — the first push creates the CRM opportunity, later pushes update that same record, and a deal is never duplicated. Klosure's data is generated by the deal itself, so it stays the source of truth, while the CRM stays where the deal gets reported.

How does Klosure handle security?

Access is enforced with row-level security in the database rather than by hiding buttons: reps see only their own deals, managers only their team, sales heads their organisation, and buyers only the room they were invited to. The Buyer Room tables deny every direct request outright — the only path is server-side functions scoped to one room and one contact. Mailbox and CRM tokens are encrypted at rest with AES-256-GCM, buyer links are stored only as hashes, every inbound webhook is signature-verified, and no secrets ship in the browser bundle.

Is my deal data used to train AI models?

No. Your deal data is never used to train any AI model. Klo runs on frontier large language models accessed through enterprise API terms that prohibit training on customer data. Data is encrypted in transit and at rest, mailbox and CRM tokens are encrypted with AES-256-GCM, deal rooms are private by default, and row-level security means reps see only their own deals, buyers see only the room they were invited to, and managers see only their team.

How does Klosure protect against prompt injection?

Deal content is treated as data, never as instruction. Buyer and deal context is fenced as untrusted reference material in every prompt that produces buyer-facing output, imported spreadsheet cells are wrapped as quoted data, and buyer answers are display-only and never reach the confidence engine. The buyer-question generator uses a closed enumeration, so an out-of-bounds question is structurally impossible rather than merely discouraged — and the confidence engine's deterministic ceiling clamps any number a model might be talked into.

Does Klo join my meetings, and can I stop it?

Klo joins as a visible notetaker across Zoom, Google Meet and Microsoft Teams, dispatched automatically when a meeting matches a deal. You can force it into a meeting it skipped with "Ask Klo to join", or remove it with "Remove Klo" — which cancels the bot and marks the meeting opted out so nothing re-adds it later. Meeting minutes are metered from the actual recorded length, not the calendar slot, against a pool shared across the team.

What happens after a deal closes?

Klosure writes a retrospective for that individual deal — won or lost — covering days to close, days stuck, missed commitments, the stage path, what went right and what almost killed it with evidence, the turning points, and a numbered list of what to repeat next time. It also drafts a buyer-safe win/loss interview email for the rep to approve. Those retrospectives are then read back into the weekly reflection, which names the pattern that repeats across recent closes rather than recounting a single deal.

How does Klosure help reps improve, not just close?

Every week Klo writes a 30-day reflection, private to the rep, alongside a measured scorecard across six dimensions: activity and prospecting, pipeline hygiene, deal progression, stakeholder coverage, follow-through, and forecast discipline — each scored 0–100 with evidence and a week-over-week delta. Each rep then carries one active Growth Focus: a single weakest dimension turned into a behaviour, with a baseline and a graduation bar, which persists week to week until it graduates. Call signals from real meeting transcripts check whether the rep actually practised it.

How much does Klosure cost?

Klosure's Growth tier is $79 (AED 290 / ₹7,500) per seat per month, with a 14-day free trial and a custom Enterprise tier for larger teams. Growth includes Klo coaching, the rep and manager dashboards, the confidence engine, Ask Klo, daily focus and weekly briefs, and email plus notetaker capture with 15 hours of meetings per seat pooled across the team. The buyer side is always free. If Klosure saves even one deal a quarter, it pays for itself several times over.

Who is Klosure for?

Klosure is built for B2B sales teams, sales managers and revenue leaders who want to move deals forward, not just log them. It fits teams running considered, multi-stakeholder deals — B2B SaaS, IT services and systems integration, and project-based revenue — typically 10 to 50 reps under a sales head with several first-line managers, with deals in the $20K–$500K range. It is a particularly strong fit for Gulf and India sales teams, because those markets' working weeks, holiday freezes and procurement cycles are encoded in the engine.

What does Klosure not do yet?

Klosure has no SAML single sign-on yet — accounts sign in with email and password, on every plan including Enterprise. There is no two-way CRM sync yet: deals push out one-way and leads pull in, and nothing edits a Klosure deal from the CRM side. There is no native Salesforce integration yet; a Salesforce team runs Klosure standalone, because Klosure reads email, calendar and meetings rather than the CRM, and moves deals across by CSV export. Klosure does not capture phone calls or WhatsApp messages yet, so a deal negotiated mainly on those channels shows less signal than one run over email and scheduled meetings. One line on this list is not a not-yet: by design, Klo never sends email on its own — a rep who never approves a draft sends nothing, and that is an architectural invariant rather than a missing feature.

What stage is Klosure at, and what is the founding cohort?

Klosure is in its founding-cohort stage. The product is live and sold on a per-seat subscription with a 14-day free trial, and a small number of B2B teams are being onboarded directly by the founder. A founding team gets three things: you talk to Raja rather than a support queue and he personally onboards you; what ships next comes from your deals, because founding teams carry real weight on the roadmap; and founding-tier pricing is locked for the life of your account rather than being a promotion that expires at renewal. Klosure is early, and we would rather say so than pad this page with logos we have not earned.

Is Klosure the same company as KlozeAI or any similarly named product?

No. Klosure is a B2B deal execution product at klosure.ai, operated by Klosure.ai Private Limited and founded by Raja Komatipalli. It is unrelated to KlozeAI and to any other product with a similar-sounding name, including third-party review pages, LinkedIn profiles and company records filed under those names. Confirm the domain reads klosure.ai before treating anything you find elsewhere as evidence about this product.

Who founded Klosure?

Klosure was founded by Raja Komatipalli, a B2B sales operator with 15+ years selling B2B software, primarily in HR and L&D SaaS across the Gulf and India. Klosure is the tool he wished he'd had on every deal.

How do I get started?

Start a 14-day trial, connect a mailbox and calendar, and optionally import your existing book of business from a spreadsheet. Klo reads the last window of activity and builds the deal records itself — there is nothing to log. Or book a 20-minute walkthrough and see it run against a real deal.


See it on your own pipeline

Twenty minutes, one of your real deals, and Klosure's honest read of it — including the parts you won't enjoy hearing.

Book a demo →  ·  Compare Klosure to your current stack  ·  Read the research