GenAI in consequential decisions without confabulation/output-validation controls

Validate GenAI output against a schema and its cited sources, and send unverifiable claims to review, before it drives a consequential decision or record.

A validation layer between the model call and the decision or record write: parse the output into a typed schema (Pydantic model_validate_json, zod parse, response_format json_schema), check every cited source id, figure, or extracted field against the retrieved documents or the system of record, and route anything that fails or carries no support to a review queue instead of writing it. Log prompt, output, model id and version, and the validation result per request to a retained store so confabulation rates can be monitored and errors traced back. For agents, check the system state rather than trusting the agent's own report that an action succeeded.

Where it goes: 9 AI output handling, 10 logs and telemetry, 15 agent action surface.

What reviewers look for: on each path from model output to a decision (approve/deny, set_status, dosage, legal position) or a database write, a schema validation plus a citation or groundedness check (verify_against_source(, cited ids checked against the retrieved set, a faithfulness metric) and a review_queue or requires_review branch for failures; per-request logs that include the model version.

resp = client.chat.completions.create(model=MODEL, messages=msgs)
result = json.loads(resp.choices[0].message.content)
db.execute('UPDATE claims SET status=%s WHERE id=%s', (result['decision'], claim_id))

class Assessment(BaseModel):
    decision: Literal['approve', 'refer']
    cited_doc_ids: list[str]

resp = client.chat.completions.create(model=MODEL, messages=msgs,
                                      response_format={'type': 'json_object'})
a = Assessment.model_validate_json(resp.choices[0].message.content)
unsupported = not a.cited_doc_ids or any(d not in retrieved_ids for d in a.cited_doc_ids)
genai_log.insert(prompt=msgs, output=a.model_dump(), model=resp.model, unsupported=unsupported)
if unsupported:
    review_queue.enqueue(claim_id, a)
else:
    db.execute('UPDATE claims SET status=%s WHERE id=%s', (a.decision, claim_id))

Engineering guidance, not legal advice. Each provision below may add its own details (a cadence, a deadline, a required notice element): open it for those.