AI Governance for Large Orgs - Ontologies and You!

Founder here. Every time I say "AI governance" out loud I hear a compliance brochure. Let me try it another way.

Your codebase has rules. You never wrote them down. They sound like this:

- Nothing in the admin tools touches the payments tables.

- Every checkout path goes through the audit log.

- Only the retry wrapper calls that vendor.

Ask a senior engineer on a five year old codebase. They will list a dozen without pausing. Ask where those rules live. They will point at their own head, or at a review comment from 2023 that nobody has opened since.

That holds up until the person with the rules in their head takes a vacation. Then your coding agent adds one small convenient import. Admin straight into the ledger. At 3am. With total confidence. It passes review. It passes CI. It passes the linter, which was busy checking your quote marks.

That is AI governance. Not a policy document. You write down what must stay true, and something checks it on every merge.

Here is how Semfora does it. You connect a repo. It indexes every merge into a map of your codebase across 30 languages. The map is deterministic. Same commit, same answer, every run.

Then it reads the map and tells you which rules your code already follows. Not goals. Facts, with the evidence attached. One real example from our own runs: this module family imported from that one 632 times, and never once the other way.

You approve the ones you meant. That is the whole setup. No blank rules editor. No YAML pilgrimage. A rule that is already true cannot fail a pull request that would otherwise pass. That is the only reason anyone turns this on.

After that, it holds. Break it and the gate hands you the exact chain of calls that broke it. Not a score. Not a letter grade. The path itself. You can walk it and disagree with it.

The free tier costs nothing. 50 analysis runs a month, no card. semfora.ai

Point it at the repo you are most afraid of.