You cannot govern
what was never recorded.
Every company can say what its AI is meant to do. Almost none can show what it actually did. We build the thing that closes that distance.
Where this came from
We started somewhere unglamorous. Every engineering organisation has a coding standard, and most have a logging standard written down somewhere too. The difference is that the coding standard gets enforced and the logging one does not. Software still records whatever a developer happened to think of at the time, so the evidence needed later often does not exist.
That was tolerable when the worst case was a slow incident. Then software started calling models, and agents started taking actions without a person in the loop, and the same gap became a governance one: organisations cannot say what their own AI did, to whom, or on whose authority.
It turned out that everything we had built to make logging trustworthy was the hard part of governing AI. The evidence problem came first. The governance problem is what it grew into.
What we are building
One set of controls, written once, that runs in the three places they can be broken: in code before anything ships, at every model and agent call while it runs, and across the logs already being produced. Deploy once, start wherever the problem is today.
All three write to LogRite Search: one record of everything they saw, queried in plain English rather than a query language nobody remembers. Cortex AI reads it, traces a failure to its root cause, and raises the fix as a pull request against the code that caused it. The loop closes instead of ending at an alert.
See how the loop worksBring the framework standards you need to meet.
Fifteen minutes, your frameworks, your systems. We will show you what is already happening that you cannot currently see.