Workflow Automation · Listen + Write

Sales tacit knowledge → customer knowledge

Augment Rep · Medium Reason · High

The problem

Senior salespeople carry 80% of their account intelligence in their heads — decision-makers, politics, competitive shifts, side-deals. None of it is in CRM. When the rep leaves, the account knowledge leaves with them.

The AI approach

AI-led debrief. Voice agent asks an adaptive set of questions about each account; STT + LLM extract structured customer facts and write them as CRM knowledge entries the rep reviews before commit.

The outcome

~30 facts/interview

30-min monthly debrief per top account → ~30 structured customer facts in CRM that survive turnover and accelerate hand-overs.

Try itInput → Process → Output

Input — AI debrief session
Monthly debrief · Maxx DistributionP'Ploy (AE) · 28 min · auto-led by AI
Tell me about the procurement committee — who's pushed, who's pulled, who decides?
"Khun Anan is the gatekeeper but he's risk-averse — he won't sign unless his ops VP, P'Krisana, says yes first. The actual budget owner is the CFO Niphon, but he delegates everything operations to Krisana."
Got it — so Krisana is the real gate. What does Krisana need to see before saying yes?
"He's burned by past vendors. Wants reference customers in FMCG, not banking. ROI proof in 90 days. Hates long contracts."
Process — AI pipeline
1Generate adaptive questionReadGenerative
2Listen + transcribe rep answerListenPredictive
3Extract structured customer factsReadGenerative
4Write to CRM knowledge schemaWriteSymbolic
Output — customer knowledge card
Click Run demo to interview the rep and extract structured facts.
Customer knowledge · Maxx Distribution CRM · 12 facts
Decision process
gateP'Krisana (VP Ops) — the real gate; CFO defers to her on ops
signoffKhun Anan — gatekeeper, risk-averse, follows Krisana's lead
budgetNiphon (CFO) — delegates ops decisions
Krisana's bar
refs FMCG only — no banking proof ROI ≤ 90 days contract short / cancellable
Pain (rep's read)

Burned by past vendors who oversold. Krisana now over-rotates on caution; first 30 days of the relationship matter more than the 18 months after.

To CRM: 12 structured facts written as custom-object entries on the Maxx account · 1 narrative summary attached. Rep reviews + edits before commit.

Three AI types in this use case

SymbolicCRM knowledge schema (decision-makers, deal stage, pain points, competitive landscape, side-deals); interview question library; PII / sensitive-info redaction rules.
PredictiveSTT transcription with sales jargon vocab; named-entity recognition (people, companies, products, currencies).
GenerativeLLM generates the next adaptive question from prior answers; synthesises tacit observations into structured CRM fields plus a short narrative summary.

The stack

  • Voice · Vapi / Retell or in-app
  • STT · Whisper-large + sales lexicon
  • LLM · Claude with debrief prompt
  • CRM · Salesforce / HubSpot custom objects

When this works

  • Senior reps with rich tacit knowledge they haven't written down
  • 30–60 min monthly debrief window genuinely available
  • CRM has structured fields for the knowledge (or you create them)
  • Rep reviews + edits before commit — no auto-publish

When it fails

  • Rep gives surface answers — needs probing question scaffolding
  • Confidential customer info escapes redaction
  • Auto-publish without review → bad data poisons CRM
  • Rep clams up because of recording — kills depth