Agent lifecycle

Investigate: correlate the facts until the operational issue becomes visible

Investigate compares relevant source states, looks for contradictions or missing links and produces a bounded operational finding.

Stage responsibility

Turn separate observations into an evidence-backed relationship or exception.

Inputs
  • Observed order/product/copy states
  • Purpose-specific MCP tool results
  • Missing-evidence indicators
Output

A bounded operational finding with the evidence relationship made explicit.

Does not

Investigate does not execute a state change or hide unresolved evidence gaps.

Where this stage is demonstrated

Real cases that exercise Investigate

Verified case EVD-003

Failed order investigation

A real failed purchase was investigated through the connected assistant. The case demonstrates observation, cross-system investigation, explanation and recommendation in one continuous workflow.

Verified finding The only tracked copy was still IN_CIRCULATION, so current stock could not fulfil the BUY order.
Observe Investigate Explain Recommend
Open case
Verified case EVD-004

Inventory mismatch detection

This case demonstrates why an operational agent is valuable even when no order is involved: it can surface contradictory system states that a team needs to reconcile.

Verified mismatch Catalog: OUT_OF_STOCK / Copy registry: AVAILABLE
Observe Investigate Explain
Open case

Stage controls

Controls applied at this stage

Purpose-specific tool schemas
Structured errors
UUID request correlation

Primewayz AI operations

Have a similar operational challenge? Start with a focused AI use-case assessment.

Discuss an AI Use Case
TO TOP