Solution

Win-Loss Insights Agent

For revenue leaders, sales operations and product marketing: the evidence behind every won and lost deal, unified across CRM, calls and documents — answerable in plain English, with every claim cited.

CRM recordsCall transcriptsProposalsRFP responsesBuyer feedback
Every claim carries a click-to-citationAnswers respect existing permissionsSynthesis built only from your data

The problem

Why this exists

Anecdote

Loss reasons are folklore

The CRM says price; the call recording says security review. Strategy gets set on whichever anecdote was told loudest in the pipeline meeting.

Unread

Deal evidence scatters and sits

Calls, proposal versions, RFP answers and buyer feedback spread across systems. The pattern behind the outcomes is in there — nobody reads it.

Walks out

Deal knowledge leaves with the seller

When a veteran rep departs, the reasoning behind their wins and losses goes too, and the next rep relearns it deal by deal.

The product, not a promise

A pipeline you can interrogate

Win-Loss Insights Agent — workspace
Ask — why do deals stall at security review?Synthesized · citedcited
Objection clusterPricing terms · linked to source callscited
Competitive patternRival wins on integrations · citedcited
Access checkAnswers scoped to the asker's permissionscited
Loss reason conflict — CRM field says price, transcript says timeline — flaggedverify
HUMAN-APPROVED BEFORE IT POSTS

How it works

File in. Answer out.

  1. 1

    Connect

    Ingest deal data from CRM, call transcripts, proposals, RFP responses, and buyer feedback across your systems.

  2. 2

    Understand

    Semantic indexing links related facts across formats — a pricing objection in a call to the clause it references in the proposal.

  3. 3

    Analyze

    Agents surface the factual patterns behind wins, losses, and competitive shifts across the pipeline.

  4. 4

    Answer

    Ask questions in plain English and get synthesized answers built only from your data, each claim cited and permission-checked.

Who it's for

Built for the people who own the outcome

Sales operations analyst

Win-loss analysis without the interview backlog.

  • Every closed deal analyzed, whether or not anyone had time to review it
  • Objections, competitors and stall points clustered across the pipeline
  • Each finding opens to the call, clause or CRM field it came from

Chief revenue officer

Set strategy on cited evidence, settle debates in one click.

  • Ask why losses spiked in plain English; get a cited synthesis
  • Competitive patterns by segment, backed by the actual deal record
  • A departing rep's deal reasoning stays in the index, readable

IT & security

Deal data stays inside the boundaries you already set.

  • Answers draw only from documents the asker is authorized to see
  • Guardrails keep synthesis grounded in retrieved sources
  • PII redaction protects buyer contacts where policy requires it
SaaSFinancial servicesProfessional servicesManufacturingHealthcare technologyTelecom
Click-to-citationevery claim verifiable at source
ACL-inheritedanswers respect existing permissions
Cross-sourceCRM, calls, and documents unified
Plain Englishask; get synthesized, cited answers

Every closed deal leaves evidence: the calls, the proposal versions, the objections, the competitor that showed up in round two. Most of it scatters across CRM fields, transcripts, and shared drives, and the pattern behind the outcomes never gets read. The Win-Loss Insights Agent reads all of it.

What it does

The agent connects the sources where deal evidence lives — CRM records, call transcripts, proposals, RFP responses, and buyer feedback — and builds a semantic index across them. Where keyword search returns a list of links to open and reconcile, the index connects concepts across file types: a pricing objection raised on a call, the clause it refers to in the proposal, and the discount that followed in the CRM.

On top of that index, agents analyze outcomes. Why do deals stall at security review. Which competitor wins on price and which on integrations. What changed in the quarter losses spiked. You ask in plain English; the agent answers with a synthesis built exclusively from your internal data — no outside guesses — and every claim carries a click-to-citation link to the document it came from, so a skeptical sales leader can verify the source in one click.

Governed by design

Deal data is sensitive, so access control is inherited rather than bolted on. The agent answers each user only from documents that user is already authorized to see — existing permission boundaries carry straight through to generated answers. Hallucination guardrails keep synthesis grounded in retrieved sources, and PII redaction protects buyer contacts where policy requires it.

The practical effect is a shared, checkable source of truth about why you win and lose. Sales, product, and leadership stop debating anecdotes and start reading the same cited evidence — and when a veteran seller leaves, the reasoning behind their deals stays behind.

Objections, answered

What teams ask us first

How do I know an answer is real and not model invention?

Every claim in a synthesized answer carries a click-to-citation link to the document it came from — the transcript passage, the proposal clause, the CRM field. Guardrails restrict synthesis to retrieved sources, so a skeptical sales leader can verify any sentence in one click.

We run win-loss on our own framework. Does the agent follow it?

Yes. Your loss-reason taxonomy, deal stages and competitor list shape how outcomes are classified and reported, so the analysis lands in categories your team already uses — and conflicts with CRM fields are flagged rather than overwritten.

Deal data is sensitive. Who sees what?

Access control is inherited from your source systems: the agent answers each user only from documents that user is already authorized to see, and permission boundaries carry through to generated answers. PII redaction protects buyer contacts where policy requires, and access is logged.

How long before we get useful answers?

Days. Connect CRM, call recordings and document stores, and the semantic index builds from the deal history you already have — the first answers come from last quarter's closed deals, no new process required of the sales team.

Bring your last five lost deals.

Ask why they were lost and watch the agent answer from your own calls, proposals and CRM records — every claim cited — in a live demo.

Request a demo