A AEP AI AGENT EVIDENCE
Accountability for AI agents, backed by proof

Everything you hand to AI, provable after the fact.

AEP keeps what your agents saw, what they decided and who approved it as proof that cannot be rewritten later. When an audit or an incident review comes, you can show the original grounds.

EVIDENCE TRAIL Verifiable
External information retrieved09:41

Source, content and time fixed together

A decision made on it09:42

Referenced proof and applied rules tied to the decision

An owner approves09:43

Recorded only as an explicit action by that person

No tampering Source matches Time verified Undetermined items kept separate

Connection: MCP + OAuth. Your existing agent calls AEP within the signed-in organisation and the scopes you granted. No rework on the agent side.

Fix what was seen, on the spot

Pages and data change later. The content as retrieved is kept together with its source and time.

Tie decisions to approvals

Which information, which rules, and who approved it are bound to the decision itself.

Anyone can check it later

Proof is stored so tampering is detectable, and auditors or partners can confirm authenticity.

01 / The problem

Logs remain. Evidence does not.

If you cannot show that things really were that way at the time, a log is not material for an explanation. The more autonomously agents act, the more that gap matters.

01
The information referenced changes

Prices, stock, contract terms, news. The page an agent read can be replaced. Without the content as retrieved, you cannot show the decision was sound.

Fix source and content together, never apart.
02
The reasons cannot be reconstructed

An outcome alone does not tell you which inputs and which rules produced it. When asked to explain, you need the inputs as they stood.

Fix the decision and its input set at once.
03
Who approved becomes unclear

It gets disputed as time passes. Approval should be kept only as an explicit action by an authorised person.

Never infer approval from another request.
02 / Capabilities

Seven kinds of proof that prevent AI incidents

Each answers a different question. Click a row to see what is proven and which incident it prevents.

01 Prove what was retrieved Prices, stock, terms or screening results taken from outside are fixed together with their source.
What is proven

The source, a fingerprint of the response, the time of retrieval and which agent's task it belonged to are bound into one proof. Whether the proof is bound to its origin or merely sealed locally is kept distinct.

Incidents prevented

Substitution of a different page or response, claims about information never seen, and being unable to identify which response was involved in an incident.

02 Prove how information changed Changes to contract terms, prices or connected settings are proven as a before-and-after pair.
What is proven

Both proofs, their fingerprints, the normalisation used for comparison and the concrete differences are collected in one record. Missing content is never filled in by guesswork.

Incidents prevented

Missing a significant change, continuing on outdated terms or specifications, and having before and after swapped after an incident.

03 Check that information is fresh Whether stored information could be reused is proven as of that moment.
What is proven

A trusted time, the verification state of that time, the moment of evaluation, the allowed age and the tolerated forward skew determine whether the information was usable.

Incidents prevented

Acting on expired stock or stale threat data, trusting an unverified time, and ignoring per-purpose expiry.

04 Prove the grounds of a decision The reasons behind purchases, payments, allow or deny decisions are fixed.
What is proven

The proofs referenced, the rule evaluation, the risk class and a fingerprint of the outcome are bound together, fixing the inputs as of the decision. The reasoning process itself is not stored.

Incidents prevented

Swapping the grounds afterwards, acting without the required proof, and losing the ability to explain which input led to the result.

05 Check that connected tools are safe Whether the external tools an agent uses have quietly changed is proven.
What is proven

The identity of the endpoint, the protocol version, a normalised list of the tools offered, and the relation to the previous proof are kept.

Incidents prevented

Instructions planted in tool descriptions, dangerous new parameters, and silent changes behind an unchanged tool name.

06 Prove what was released Which version of an agent was running is made identifiable, artefact by artefact.
What is proven

Names, fingerprints, sizes and types of prompts, rules, model references, connected tools, permissions and evaluation results are bound into one release.

Incidents prevented

Shipping unapproved prompts or rules, confusing a test build with production, losing the relevant version during an incident, and reusing a version name.

07 Prove approvals and rejections Who approved or rejected a high-impact action is proven as that person's own act.
What is proven

The authenticated approver, fingerprints of the action and the policy, the related decision proof, and the approve-or-reject outcome are bound together.

Incidents prevented

Acting without approval, substituting a different action after approval, and later confusion or denial about who permitted what.

What this does and does not establish

The existence of proof does not mean the decision was right. Whether a source was factual, whether the rules were appropriate, and whether a decision or approval was sound all require separate judgement. What AEP provides is the ability to prove, afterwards, the grounds, time, participants and configuration of the moment.

03 / Getting started

Sign up and you are running

STEP 01
Sign up

Register with an email address and an environment for your organisation is created on the spot.

STEP 02
Choose a plan

Pick one to match how much proof you keep. You can change it later.

STEP 03
Connect your agent

Set the issued connection details and your existing agent can call AEP.

STEP 04
Check when needed

When an explanation or investigation is required, confirm authenticity and time from the console.

04 / Who uses it

For every team running AI agents

It is the weight of what you delegate, not your industry, that makes this necessary.

Security

Confirm that an agent's blocks and allowances rested on sufficiently fresh information, and trace which information led to a decision during an incident.

IT operations

Bind prompts, rules, model references and permissions into one version, so you can identify which version was running when something goes wrong.

Agent engineering

Record whether connected tools changed without notice, and catch planted instructions or dangerous new parameters.

Process automation

For high-impact actions such as payments, publishing and granting access, keep a record of who approved what.

05 / Safety

The proof mechanism itself is designed conservatively

Whether proof is trusted depends on how it is gathered and handled. Scope, secrecy and the treatment of undetermined results are constrained from the start.

Operates only within granted scope

Use is limited to the signed-in organisation and the permissions granted. Nothing outside that scope is collected or published.

Credentials never enter proof

Passwords, one-time codes, API keys and access tokens are never included in proof or in notifications.

Results are not rounded off

Verified, not verified and undetermined are returned as distinct states. An undetermined result is never treated as valid.

Approval only as a personal act

Approval is never inferred from another request. Only an explicit instruction from an authorised person is kept as an approval.

06 / FAQ

Frequently asked questions

Can we keep our existing AI agents?

Yes. Your agent calls AEP within the granted scope. No rework of the agent is required.

What does it take to get started?

Signing up with an email address and choosing a plan. There is no sales process and no prior screening.

Who can inspect the proof?

The signed-in organisation, within the permissions granted. Authenticity can be confirmed afterwards by authorised staff or a third party.

Does proof mean the decision was correct?

No. Proof lets you confirm the grounds, time, participants and configuration of the moment. Whether the source was factual and whether the rules or the decision were sound must be judged separately.

Can credentials or secrets end up in the proof?

No. Passwords, one-time codes, API keys and access tokens are excluded from proof and notifications by design.

Lay the groundwork before you delegate more.