06 / Systems audit
Find out what your AI stack actually does at 3am
A fixed-scope review of an automation or AI system you already run. We measure the model chain on your real prompts, map every failure mode, read the logs you never read, and hand you a ranked list of what to fix, whoever fixes it.
Book a scope callWhat the system owns
- Model chain benchmark on your actual prompts: three repeats minimum, ranked by failure mode
- Failure map: which gates fail closed, which log a problem and ship anyway, which never fire
- Spend and compute review: ceilings, idle resources, retries without a limit
- Access review: where credentials live, who can rotate them, what breaks when one person leaves
- Run-log reading: the incidents your system already had and nobody noticed
What gets shipped
- A written report with every defect ranked by what it costs you
- The measured model table, with the prompt and the method, so it can be re-run
- Fixes specified so your own team can apply them without us
- A 60-minute readout call walking the ranked list
Build shapes in this lane
04 patterns
Model chain bench
Your real prompts against every arm in your chain, three repeats each, with the token budget raised to where the hidden reasoning stops truncating the answer. Empty completions are counted as failures, not answers.
Failure-mode map
Every gate in the system classified: fails closed, fails open, or never fires. The ones that log a failure and publish anyway go to the top of the list.
Spend and compute review
Idle machines, retry loops without a ceiling, per-call budgets set below the floor a model needs. Each one with the monthly figure attached.
Access review
Where each credential lives, who can rotate it, which runs stop if one laptop is lost. Fixes stated as least-privilege moves, not as a tooling pitch.
Before you sign anything
- How long does it take?
- Two weeks from access to readout for a typical stack of three to six pipelines. The scope and the date are fixed in writing before we start.
- Do we have to give you production access?
- Read-only, and logs first. Most of an audit is reading what the system already recorded. Anything beyond read access is agreed per system, in writing, and revoked at the end.
- What if nothing is wrong?
- Then you get a short report saying so, with the measurements that back it up, and the price is the same. A stack that measures clean is a good outcome, not a wasted audit.
Evidence
One of these is running right now.
@MiraAiHQ is a live autonomous operator built on exactly this architecture. The loop, the limits and the handoff are all documented.