Evidence preparation worker
Assembles approved records using call and campaign references. Owns: Review packet. Read-only access to authorized records.
Illustrative insurance workflow
Give operators a reviewable record of every handoff outcome
Prepare live-transfer evidence and exception queues for operator review. Separate connection attempts, recipient acceptance and commercial decisions.
WHAT STARTS THE WORK
A human-originated transfer needs its provider and recipient evidence reviewed.
AI agents
- Evidence preparation worker
- Quality review worker
- Exception coordinator
- Quality operator
- Commercial owner
Workflow steps
- Match recordsEvidence preparation worker
- Prepare evidenceEvidence preparation worker
- Suggest dispositionQuality review worker
- Review exceptionsQuality operator
- Decide acceptanceCommercial owner
- Confirm recordException coordinator
4 operating rules · 4 decision rules · 2 channels · records to verify
THE RESULT TO CHECK
An operator-reviewed disposition with missing evidence and exceptions visible. Commercial acceptance, credits and payouts remain human decisions.
On this page
The work to improve
Help operations review human-originated live transfers using approved records and permitted transcripts. AI workers prepare missing-evidence flags and an exception queue; operators reconcile recipient acceptance and disputes. A connected call is evidence to review, not automatic proof of a payable lead.
- Publisher, telephony and recipient records may disagree about whether a call was connected or accepted.
- Source, permission, campaign and disposition details may be missing from the review file.
- Repeated transfers, uncertain outcomes and disputed calls need explicit owners before reconciliation.
Intended outcomes to verify
These are pilot goals, not achieved customer results.
- Prepare one evidence packet with the available call, campaign and recipient references.
- Separate observed events, missing information and proposed dispositions for operator review.
- Give disputed and uncertain outcomes an accountable reviewer without automatically issuing credits or payouts.
The team and its responsibilities
Quality review worker
Checks the packet against the agreed rubric and highlights missing evidence. Owns: Review suggestions. Suggest-only; no compliance certification.
Exception coordinator
Prepares unresolved cases and the next review task. Owns: Exception queue. Permitted record preparation; no automatic credit or payout.
Quality operator
Reviews evidence, corrects dispositions and owns disputed outcomes. Owns: Accepted disposition. Authority defined by the operator’s review process.
Commercial owner
Applies the contract and decides acceptance, credits and reconciliation. Owns: Commercial decision. Accountable contract owner.
The workflow
Match records
Use scoped call and campaign references; keep unmatched records explicitly unresolved.
Prepare evidence
Include available events and permitted transcript excerpts without inventing missing evidence.
Suggest disposition
Apply the approved rubric and preserve uncertainty where records disagree.
Review exceptions
Check the source records and accept or correct the proposed disposition.
Decide acceptance
Use the agreed contract to decide commercial treatment; connection duration alone does not establish payability.
Confirm record
Verify the authorized review result was saved; failed writes remain open with an operator.
Fictional example: a bridge event without recipient acceptance
A fictional human-originated call has a provider bridge event, but the recipient record is missing. The evidence packet stays unresolved for the quality operator; it does not become an accepted or payable lead.
Join the available records
The worker links the campaign and provider reference and marks the missing recipient disposition.
Prepare the exception
The review worker distinguishes the observed bridge event from the unconfirmed acceptance and prepares the case for a person.
Record the reviewed outcome
The operator checks the receiving team’s evidence. The commercial owner decides the contract treatment, and the workflow verifies the review record was saved.
Decision rules and controls
- Missing records remain missing; model confidence cannot replace origin or permission evidence.
- Use recordings or transcripts only when collection, access, retention and review are authorized.
- The quality operator resolves conflicting provider and recipient events before closure.
- Acceptance, disputes, credits and payouts require the accountable commercial owner.
- Start with internal review of human-originated calls; any AI calling needs separately approved scope and partner acceptance.
- Expose only the minimum evidence to authorized reviewers and apply the agreed retention policy.
- Suggested labels do not certify compliance, eligibility, fraud or commercial acceptance.
- Validate each connection and read-back; this example does not claim a ready-made partner or tracking-provider integration.
Systems and channel options
Connections, permissions, data access and human coverage must be validated for your deployment.
- Call event records
- Recipient CRM
- Campaign and publisher evidence
- Operator reconciliation records
- Human-originated voice records
- Internal review workspace
What to measure
Measurement definitions for an agreed pilot.
Evidence completeness
Compare the required origin, permission, connection and recipient references against the agreed campaign checklist.
Disposition agreement
Compare proposed labels with the reviewer’s accepted disposition and record corrections rather than treating model confidence as proof.
Open exceptions
Measure unresolved or conflicting outcomes and the time until the named operator records the agreed resolution.
A supervised rollout
Agree the review rubric
Choose one campaign, an authorized record set and the reviewer’s evidence and acceptance definitions.
Review alongside operators
Use fictional or authorized historical records and compare proposed dispositions with the existing human review.
Check the saved outcome
Test mismatched IDs, missing transcripts, disputed acceptance and failed writes before expanding the internal review workload.
Questions before deployment
AI WORKFORCE ORCHESTRATION FOR ENTERPRISESBring one business process.
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