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AI Implementation Review

LMU/COICP Example

AI Implementation Review Example

Review LMU/COICP AI-assisted engineering work, accepted AI output, rejected AI shortcuts, human verification, risks, and follow-up before integration.

ES-108 AI Review Human Verification

Example purpose

This artifact records the ES-108 review of AI-assisted implementation work.

The review determines whether AI assistance remained subordinate to engineering judgment and whether AI suggestions that violated LMU/COICP guardrails were rejected.

Project

LMU Campus Operations and Incident Coordination Platform

Document control

Field Value
Artifact owner AI reviewer
Primary reviewers COICP Product Engineer, Architecture Review Board chair, IT security reviewer, Compliance reviewer
Status Accepted with follow-up
Last updated 2026-07-06
Related Engineering Stage ES-108 — Integration
Project workspace target docs/project-workspace/integration/ai_implementation_review.md

Integration context

Field Value
Integrated baseline LMU-COICP-INT-001
Candidate expected after testing LMU-COICP-RC-001
Integration decision posture Accepted with follow-up
Target testing posture Internal engineering review candidate only
Planned review environment LMU-COICP Internal Engineering Review Environment
Planned dataset for downstream review Spring Semester Synthetic Incident Dataset
Planned synthetic records 421
Planned reviewer accounts 24
Planned review window March 18–22, 2026
AI Incident Summary Deferred / disabled
Operational pilot Not approved

AI use status

AI was used to draft candidate structures, suggest edge cases, and identify test ideas. AI was not used as final implementation authority, and AI Incident Summary remains deferred/disabled.

AI-assisted areas

Work Item AI Assistance Accepted Output Review Performed Risk Status
IW-001 Suggested entity fields Partial Compared to data_design.md missing evidence fields accepted after revision
IW-002 Suggested evidence validation cases Partial Reviewed against NFR-001 weak auditability accepted after revision
IW-003 Suggested create workflow edge cases Yes Reviewed against workflow_design.md evidence bypass accepted after revision
IW-004 Suggested status transition patterns Partial Reviewed against workflow design invalid states follow-up needed
IW-005 Suggested access tests Partial IT security review incomplete roles follow-up needed
IW-007 Suggested error behavior Partial Architecture/compliance review hidden evidence failure follow-up needed

Rejected AI output

  • Suggestion to allow incident creation without an EvidenceEvent when evidence service is unavailable.
  • Suggestion to auto-save AI-generated summary as the official incident summary.
  • Suggestion to broaden viewer access for “pilot convenience.”
  • Suggestion to treat technical logs as the only reviewable evidence.
  • Suggestion to default emergency-related entries into the normal COICP workflow.
  • Suggestion to hard-code a retention period without Compliance approval.

AI review findings

Finding Assessment
AI was useful for edge-case discovery. Accepted
AI repeatedly suggested convenience paths that violated evidence, access, AI, emergency, and retention guardrails. Material finding
Human review successfully rejected guardrail-violating suggestions. Accepted
AI did not become final implementation authority. Accepted
AI Incident Summary remains deferred and disabled. Accepted
Access-control tests still require additional verification. Follow-up required
Evidence failure behavior still requires focused verification. Follow-up required
Emergency-boundary behavior still requires focused verification. Follow-up required

Decision

AI-assisted implementation accepted with follow-up.
AI Incident Summary remains deferred/disabled.

Carry-forward actions

Action Owner Target Stage
Add access-control matrix tests. IT security reviewer ES-109
Add evidence write failure tests. Architecture Review Board chair / Product Engineer ES-109
Add invalid status transition tests. Product Engineer ES-109
Add Campus Safety emergency-boundary test. Product Engineer / Campus Safety liaison ES-109
Preserve AI Incident Summary deferment until human review workflow is implemented. AI reviewer / Product Owner ES-109 and later
Keep AI-use disclosure in future PRs. Product Engineer Ongoing

Continue to Guardrail Review

Check whether evidence, access, AI, emergency-boundary, retention, and direct-update guardrails held.

Open Guardrail Review →