Lost deal pattern miner
Find recurring objections and missing capabilities across closed-lost deals, with links to the original evidence.
What this workflow does
Find recurring objections and missing capabilities across closed-lost deals, with links to the original evidence. It separates observed facts from inference, surfaces conflicting evidence, and delivers a review-ready finding set instead of an opaque answer.
What you gain
Sales coaching and product decisions reflect repeated evidence instead of memorable anecdotes.
What the AI agent changes
How this worked before
Traditional automation could collect records, but a person still had to compare sources, resolve conflicts, and write the conclusion.
What the AI agent changes
The agent can plan a search, inspect multiple sources, distinguish facts from inference, and return a cited report.
Agent trigger
The weekly closed-lost review starts or enough new losses accumulate.
Inputs
- Process context: closed-lost opportunities, call transcripts, objection fields, sales notes, segment, and competitor mentions
- Approved policies, ownership, and exception rules
Agent flow
- 1
Collect source material from the approved systems and record its timestamp.
- 2
Cross-check conflicting signals and separate facts from inference.
- 3
Prepare recurring loss patterns, supporting examples, segment differences, and questions requiring follow-up with citations, unknowns, and confidence.
- 4
Deliver the approved report and preserve its evidence set.
Human decisions
After step 3
The accountable process owner approves recurring loss patterns, supporting examples, segment differences, and questions requiring follow-up.
Outcome
- Revenue-owner-reviewed lost-deal memo
- Evidence, exceptions, and audit trail
Guardrails
- Label inference separately from observed facts.
- Do not close the investigation while required sources are unavailable.
Risks and mitigations
Missing or stale evidence can produce a confident but incomplete finding.
Show source coverage, conflicts, timestamps, and unanswered questions.
Sources and evidence
Sources establish feasibility or impact. Not every metric comes from an identical implementation.