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In practice · Conversation intelligence

A conversation becomes reviewable context, not an automatic command.

Northline’s call illustrates the boundary between generated assistance and an operator-approved CRM record.

Story 02 · intended outcome

The operator can inspect a call, verify the interpretation and save the useful next step.

One fictional reference company

Northline Workshop

Northline is a synthetic industrial business used consistently across every story. It buys a configured precision actuator through a negotiated account path and offers the same product through a separately configured consumer channel. Numeric IDs below match the integer types used by the application. Human-facing references are labeled separately. No record, result or screenshot on these pages comes from a customer environment.

Lead
Northline Workshop · Avery Chen · LeadID 1042
Account
Northline Workshop Account · AccountID 220
Product
NL-ACT-240 Precision Actuator · ProductID 240 · product code NL-ACT-240
Quote / order
BasketID 7841
Consumer basket
BasketID 9108
Conversation
Avery Chen · call reference NL-C-031 · note reference NL-N-118
Change request
Northline minimum-order rule · release identity pending Phase 2

A sample call is associated with the Northline lead. Its transcript and generated summary help the representative find facts, but a person reviews the context before persisting a note, contact correction or FollowUpDate.

Input
Call NL-C-031 with a synthetic transcript from Avery Chen.
Reviewed context
The buyer asks for revised delivery timing and confirms the next commercial question.
Persisted record
Lead note NL-N-118 with FollowUpDate 2026-09-17.
Boundary
A suggestion is not proof that a note, contact or follow-up was saved.

The review path

Context moves through explicit human checkpoints.

  1. Open the associated call

    Confirm the caller, lead association and recording/transcription status before using generated content.

  2. Read the transcript and summary

    Compare the summary to the relevant transcript passages. Treat both as business context, not as a command to mutate records.

  3. Resolve identity

    Confirm Avery Chen belongs to Northline before adding or correcting a contact. Similar names and phone numbers need operator judgment.

  4. Persist an approved note

    Write the verified request into the lead’s note history. The durable note—not the model output—is the shared operating record.

  5. Set the next action

    Set FollowUpDate on the note for the agreed response. Feeding Frenzy uses follow-up notes and lead queues rather than a separate source-proven universal task object.

  6. Reopen and verify

    Check the note, contact and next follow-up on the lead detail and in the intended representative queue.

published proofNorthline call review showing a synthetic transcript, linked lead and pending local suggestion.
Verified review of a synthetic Northline conversation and local suggestion.Deterministic local evidence—not a real customer call or a claim about live AI quality. AI-derived context remains a suggestion until an operator verifies and persists it.Runtime evidence northline-launch-proof-2026-09-16 · northline-proof-checkpoint-2026-09-16
published proofNorthline lead showing Jordan Lee, the saved reviewed note and the persisted follow-up date.
Verified saved Northline note, owner and follow-up date.The saved state was independently reopened; no outbound message was sent.Runtime evidence northline-launch-proof-2026-09-16 · northline-proof-checkpoint-2026-09-16

Review before action

The system should make uncertainty visible.

Transcript is incomplete

Use the recording and known customer record; do not fill missing words with an invented promise.

Identity is ambiguous

Leave the contact unchanged and assign a human follow-up.

Summary conflicts with transcript

Persist only the verified facts and record the discrepancy for review.

No future action is agreed

Do not create a misleading FollowUpDate merely to clear a queue.

Review call context Maintain lead context Work follow-up queues

Evidence boundary

Current code supports review surfaces and durable follow-up records.