AI Incident Reporting Agent
Captures decisions, prompts, tool calls, and human overrides in an immutable audit log with regulator-friendly export. Typical owner is the head of audit jointly with the responsible AI lead. Essential under EU AI Act Article 12 logging obligations and SR 11-7 model risk inventory expectations.
This is a reference pattern: a curated design, not a deployed product. It shows what the workflow could look like and what it needs; evidence, integrations and a business case are attached during discovery.
Workflow
Where it sits on the operating loop
Every Wayam solution is composed across four responsibilities. This agent's primary job is Govern. Autonomy is draft-then-approve: a named owner signs before anything writes back.
Systems of record
Reads from
- Splunk
- Snowflake
- ServiceNow GRC
01
Ingest
Connect the systems above and read the signals the work already produces.02
Reason
Ground context, score options against policy and the goal, draft the next step.- Claude Sonnet
Gate · draft-then-approve
Responsible AI operations signs
Approves, edits or rejects the draft. Nothing writes back without a name on it.
reject returns to 02
03
Act
Execute the approved step in the system of record and keep the evidence.Systems of record
Writes back to
- Splunk
- Snowflake
- ServiceNow GRC
The run above is the shared Wayam pattern drawn with this agent's own systems, models and owner; the workflow specific to your estate is drawn in discovery. Architecture view: L2 · Operating model.
Typical user
Responsible AI lead
Typical owner
Responsible AI operations
What it does
- Captures, classifies, and reports AI incidents per regulatory requirements.
- Human review sits on the write-back, not on the research.
- Evidence of every draft, approval, and action is kept with the record.
Evidence
What Wayam can show for this entry
Curated solution design with an owner and a review date. No performance or production claim.
Allowed claims at this tier: Possible workflow, typical stack, prerequisites.
- Evidence tier
- T4 · Reference pattern
- Integration status
- Not yet specified
- Metric status
- Scenario only
- Evidence owner
- Not yet attached
- Validated
- Not yet attached
- Valid until
- —
- Content version
- 2026.09
Pending evidence attachment
This entry represents an enterprise architectural reference pattern. Customer benchmarks, run replays, and metric verifications are established during technical discovery.
Limitations
- Systems and models listed are a typical stack, not a tested integration.
- ROI bands are directional and carry no customer measurement.
Architecture & controls
How it is governed and what it connects to
Control gates
- Responsible AI operations approves, edits or rejects before any write-back
- Evidence of every draft, approval and action is kept with the record
- Data residency: sovereign cloud, on-prem
- Role-based access on every connector; the agent reads before it writes
What must be in place first
- A named business owner with the decision right to approve this agent's output
- A system of record the output lands in, with read access and a scoped write path
- A measurable baseline: volume, handling time, error or rework rate
- Sample records or transcripts that can be shared, redacted where required
Typical enterprise systems
Not yet specifiedTypical stack for solution design; compatibility is validated during discovery.
- Splunk
- Snowflake
- ServiceNow GRC
Model options
Models the platform can route to. Listing one does not mean this agent has been tested with it.
- Claude Sonnet
Business case
Modelled in discovery
Reference patterns do not carry ROI figures. The directional bands in the source catalog have no customer measurement behind them, so the page does not multiply them by your headcount. Build a blueprint and the business-case modeller opens with your own baseline.
Build a blueprint →Pilot this
From reference pattern to a bounded pilot
Nothing on this page is a commitment. The path is a short discovery to validate the workflow and baseline, then a pilot with acceptance criteria agreed up front.
Step 1 · 3–4 weeks
Discovery Sprint
Validate the workflow, data, controls, baseline and business case before anything is built.
Gate: Blueprint and pilot plan signed by the business owner, technical owner and Wayam.
Step 2 · 6–10 weeks
Bounded Pilot
Prove quality and value on agreed data against agreed acceptance tests.
Gate: Acceptance thresholds met on the evaluation set; go/no-go decision recorded.
What happens next: a Wayam owner connects within 1 business day to schedule a 30-minute review of fit, prerequisites and scope.
Similar patterns
Similar patterns
AGT-0816·AI Incident Reporting Agent·T4