Sales transcript to CRM hygiene
Extract commitments and field updates from calls, then apply only approved CRM changes.
What this workflow does
Extract commitments and field updates from calls, then apply only approved CRM changes. It produces a source-linked draft, validates it against policy, and keeps publication or system updates behind an explicit approval.
What you gain
CRM update diff
What the AI agent changes
How this worked before
Templates could merge known fields, but they could not understand source documents or adapt the draft to exceptions.
What the AI agent changes
The agent interprets decisions, objections, dates, and commitments in a ready transcript, then proposes precise CRM changes for approval.
Agent trigger
A recorded sales call finishes and its transcript is available.
Inputs
- Speaker-attributed transcript
- CRM field schema and current opportunity
Agent flow
- 1
Extract decisions, dates, objections, and owners.
- 2
Map facts to allowed CRM fields.
- 3
Propose a diff with transcript citations.
- 4
Apply approved fields and create tasks.
Human decisions
After step 3
Call owner approves the field diff and follow-ups.
Outcome
- CRM update diff
- Owned follow-up tasks
Guardrails
- Allowlist writable CRM fields.
- Never overwrite a newer human edit.
Risks and mitigations
Speaker attribution errors can assign commitments to the wrong person.
Cite transcript spans and require owner approval before writes.
Sources and evidence
Sources establish feasibility or impact. Not every metric comes from an identical implementation.