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Win-Loss Agent.

An agent that interrogates the deal record — win-loss calls, CRM notes, email threads — and explains why deals close or die, turning post-mortems from a quarterly ritual into a living playbook that updates with every closed deal.

LOG ENTRY004 / 2026-07
STATUS● In progress
TERRAINllmagentsrevops
MAPTHE SYSTEM AT A GLANCE
DEAL RECORDwin-loss callsCRM notes · emailAGENTinterrogates evidence,extracts decision driversPATTERNSpricing · champion· competitor playsPLAYBOOKliving — updateswith every dealEVERY CLOSED DEAL RE-ENTERS THE RECORD

The problem

Win-loss analysis is the highest-leverage, least-done job in sales. The evidence already exists — call recordings, CRM notes, email threads — but nobody has time to read it all, so teams repeat the same losses. Consultancies sell the analysis as a quarterly project for five figures; by the time the report lands, the quarter that produced it is over.

Who it's for

  • The CRO buys pattern visibility: which objections, competitors, and deal shapes actually kill revenue — in the buyer's words, not the rep's recollection.
  • Product marketing gets the competitive playbook grounded in real deals instead of anecdotes from the loudest rep.
  • Sales managers get loss reasons they can coach against, deal by deal.
  • Reps contribute nothing extra — the agent reads what already exists, which is the only way win-loss ever gets done consistently.

The approach

An agent that treats the deal record as a witness to be interrogated:

  • Ingests win-loss calls, CRM history, and threads per deal.
  • Extracts the decision drivers — what actually moved the buyer, in their words.
  • Aggregates across deals into patterns: pricing objections, champion strength, competitor plays.
  • Publishes a living playbook that updates with every closed deal.

Architecture decisions

Being made now, with the same rules as the GTM Operating System: evidence-cited extraction (no claim without a quote), structured outputs at every step, and aggregation that separates "what one buyer said" from "what the pattern says."

Business impact

The target: replace the quarterly win-loss consulting engagement with an always-current playbook at API-call prices — and shorten the loop from "loss happened" to "team adjusted" from a quarter to a week. Numbers land here once the build does.

Risks & guardrails

The known failure mode of automated win-loss is confident storytelling — a plausible narrative stitched from thin evidence. The design answer is inherited from the GTM work: every driver cites its source passage, and low-evidence deals are flagged as low-evidence rather than narrated anyway.

Where it goes next

In active development — this entry updates as the ascent continues.