NAICOM
The audit trail for AI-assisted engineering.
NAICOM sits between your engineers and the models they work with, and writes down what happened. Every session opens against a tracked issue. Every instruction is a versioned prompt file committed beside the code it produced. Every commit carries the session ID, the issue key, and the human who approved the merge — so "which of these changes was AI-written, on whose authority, and under what instruction?" is a query, not an investigation. It runs against the forge you already use — GitHub, GitLab, Bitbucket or Gitea, resolved per repository — so nothing about the existing workflow has to move.
Issue-linked sessions
No AI session starts without a ticket. The business requirement that justified the change is the root of the trace, not a reconstruction after the fact.
Versioned prompt files
The instruction lives in the repository next to its output, under review and under diff. What the model was asked to do is a permanent artifact, not chat scrollback.
Human approval on the record
AI opens the pull request; a named person merges it. The approver, the timestamp, and the reviewed diff are captured as the oversight evidence auditors ask for.
Queryable, exportable trail
Ask for every AI-driven change to a component over a quarter and get a table: issue, prompt file, session, commit SHA, approver. That table is the auditor deliverable.