Guide · Proof, Evidence, And Autonomy Levels
AI work evidence: what a good AI audit trail looks like
AI work evidence is the owner-visible record of what an AI employee actually did: what it checked, why it acted or held, what changed, what it cost, and what it learned. Good evidence is what lets you trust — and safely widen — an AI's autonomy, because autonomy without evidence is just risk transfer.
Why evidence beats a promise
It's easy to be told an AI “handled it”. Evidence is what turns that claim into something you can check. Without it, giving an AI more autonomy is just transferring risk you can't see. With it, you can widen trust on a specific kind of action only once the record has earned it — and catch a mistake early when it hasn't. Evidence is the mechanism that makes graduated autonomy safe.
The six things good run evidence answers
- What it checked — the sources, records, and facts it looked at before acting.
- Why it acted or held — its reasoning and the rule it followed, or why it stopped and asked.
- What changed — the before-and-after of any draft, record, or action.
- What it cost — the model usage a run consumed, with a failed no-output run billing nothing.
- What it couldn't safely do — where it reached an untrusted edge, held, and asked instead of guessing.
- What it learned — the correction that became a durable rule, with before/after eval proof.
Evidence and graduated autonomy go together
The point of good evidence isn't paperwork — it's trust you can move. You set how much to trust each kind of action, start cautious, and raise the trust on a routine action only once its run evidence has earned it. That's the opposite of a workflow that either fires blindly or interrupts you about every step forever: the evidence is what lets oversight shrink safely as the employee proves itself.
The honest limit today
Inspectable evidence, not a compliance certificate
Vavio is pre-launch and has no formal enterprise compliance certifications (SOC 2 and the like) yet. The honest proof today is the run evidence itself, which you can inspect for every run — what it checked, why it acted or held, what changed, what it cost, and what it learned. If your requirement is a certified enterprise audit right now, that's not something Vavio can prove yet.
Frequently asked questions
- What is AI work evidence (or AI run evidence)?
- The owner-visible record of a piece of AI work: what it checked, why it acted or held, what changed, what it cost, what it couldn't safely do, and what it learned. It's the audit trail that lets you trust — or correct — the work without watching every run.
- Why does run evidence matter more than autonomy?
- Because autonomy without evidence is just risk transfer. Evidence is how trust widens safely: you can see why the employee acted, catch a mistake, and only raise the trust on an action once the evidence has earned it.
- What should good AI run evidence include?
- Six things: what it checked, why it acted or held, what changed (before and after), what it cost, what it couldn't safely do, and what it learned. If a tool can't show you those, you're trusting a promise, not evidence.
- Does Vavio have formal audit certifications?
- Not yet — Vavio is pre-launch and has no formal compliance certifications like SOC 2. The honest proof today is the run evidence itself, which you can inspect for every run. If you need a certified enterprise audit right now, that's not something Vavio can prove yet.
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