Accountability for autonomous AI
When AI acts, accountability should follow.
Covera creates independently verifiable evidence around consequential AI actions: who acted, the authority they were working under, what they did, and whether the evidence has changed since.
Built for AI companies first. Designed for the customers, auditors, buyers and insurers who may have to rely on the evidence later.
Try it, nothing is saved
Example onlyUSD 240
Drag past 500 and watch the finding appear.
An outside party can establish who acted, on whose authority, what happened, and that the record has not changed.
- Agent identifiedRefund Agent #14, registered before this action ran.
- Acting principal recordedThe agent acted for Example Company.
- Authority evidence presentRefunds up to USD 500 without a human, recorded and dated before the action.
- Authority limitUSD 240 is within the limit of USD 500.
- Human approvalNot required at this amount.
- Action and result recordedrefund.create for USD 240, completed as refund RF-8192.
- Evidence integrityThe record still matches the fingerprint taken the moment it was written.
- No evidence gapNothing is missing between the request, the decision and the result.
covera.app/r/8HF92K
The shape of it
Covera sits where AI moves from deciding to doing.
- Principal
- Agent
- Authority
- Action
- Result
- Evidence
- Verification
Everything before the last two boxes already happens inside your own systems. Covera starts where somebody outside your company has to believe it.
Four questions Covera answers
Who acted, on whose authority, what happened, and can the record be trusted.
01
Identity
Which agent or system performed the action?
Every record is tied to the machine actor that produced it, not to a person guessing afterwards.
02
Authority
Who let it act, and inside what boundaries?
Authority can come from a person, a company, a workflow or another trusted system. It is written down and dated before anything runs.
03
Action
What did the AI actually cause to happen?
Not model text. The thing that changed outside: money moved, data edited, a message sent, a tool run.
04
Evidence
Can an outsider trust the record later?
Covera checks integrity and order rather than asking anyone to trust your own screenshots.
Where it matters
Not every AI response needs Covera.
Covera is for the moments when AI stops generating information and starts affecting the outside world.
- Sending money
- Issuing refunds
- Buying goods or services
- Changing customer data
- Changing production systems
- Sending external messages
- Approving or rejecting something
- Sharing protected information
- Running high impact tools
Where AI moves from thinking into doing, accountability should follow.
What Covera is not
Not another AI dashboard.
Covera does not replace your logging, identity, security or observability tools. Those hold evidence. Covera makes that evidence usable by people outside your company.
Covera is built to accept evidence from the systems companies already use, rather than forcing everyone onto one AI stack. Reading from those systems automatically is still being built. Today you send the action yourself, with one request.
Who ends up relying on it
One record. Several people who need to believe it.
A customer dispute
They say your AI acted without permission. You need something dated that was written before the argument started.
Enterprise procurement
A buyer wants to know how your agents are controlled and how you would evidence it. One link answers what a spreadsheet cannot.
An internal incident
Something went wrong and you need to reconstruct exactly how the agent got there, without a week of engineer time.
An audit
An outside reviewer needs records that could not simply be rewritten after the fact.
Insurance
An insurer needs reliable evidence around an AI related loss before it decides anything.
Straight about what exists
Working now, and building toward.
Working now
- Create a Covera record for a consequential AI action
- Record the agent, who it acted for, its authority, the action and the result
- Get a shareable verification page anyone can open
- Evidence integrity checked, and rechecked in the reader's browser
- Plain accountability findings when something does not hold up
- Free API, one request to integrate
Building toward
- Pulling evidence in from MCP, OpenTelemetry and systems you already run
- Continuous evidence coverage instead of action by action
- Deeper authority and mandate verification
- Spotting gaps where evidence is missing
- Incident reconstruction across a whole chain of agents
- Evidence packs for insurers and enterprise buyers
- Verification APIs for outside parties
Nothing in the right hand column is available yet, and we will not pretend otherwise. Covera does not decide who is legally liable and does not say an AI action was the right call. It establishes the evidence people need to decide that themselves.
Founding pilot
Could you prove what your AI did tomorrow?
If one of your AI workflows caused a major dispute, a loss or a security incident tomorrow, could an outsider work out who authorised the agent, what it was allowed to do, what actually happened, and whether the record had been changed since?
- One consequential AI workflow mapped
- Your existing evidence sources identified
- The accountability gaps named
- One real Covera verified action created
- A written evidence readiness report
- What to change to make that workflow verifiable
499 dollars, once. First ten companies.
Apply for the founding pilotCovera basic
Verification should spread before it becomes expensive.
We want verifiable AI actions to become ordinary infrastructure, so creating and sharing the basic records is free. Covera will earn its money from the assurance layer above it: continuous coverage, evidence quality, incident reconstruction and verification for outside parties. That is a strategy, not charity.
Free check
Not sure where you stand? Find out in ten minutes.
Answer 24 plain questions about how your AI acts today. You get a score, a list of the gaps that would hurt you in a dispute, and the three fixes worth doing first. No account, no card.
The long term goal
Consequential AI actions should carry their accountability with them.
Whatever model, framework or platform produced them. That starts with one action.
Make your first AI action verifiable