Agentic Identity· 17 de septiembre de 2026

Six questions for your AI agent provider

The six questions that separate a serious AI agent provider from one that depends on you believing them, with the good answer and the bad answer to each.

A list of six checks examined with a magnifying glass.

Before you contract AI agents that are going to act on behalf of your company, there are six questions worth asking in writing. They are not technical: they are about accountability, limits and checkability. A solid provider answers them in the same meeting; one that has to go away and look them up is improvising its governance while talking to you.

The underlying logic is that an agent is not software you consult, but software that acts. If it acts, someone answers for it. And if someone answers for it, that has to be demonstrable. It is the same reasoning that underpins the digital ID for AI agents.

1. Which company is legally accountable for this agent, with a registry code?

Good answer: a specific company, with a legal form and a registry code, published alongside the agent. In our case, Cosmolabs OÜ, an Estonian company with registry code 17106582.

Bad answer: a trade mark, a product name or "our team". A brand has no legal personality and answers for nothing.

What you are checking is whether there is an identifiable party to hold to account. If there is not, the rest of the conversation is decorative.

2. Can I see, written down and published, what the agent is forbidden to do?

Good answer: an explicit list of prohibitions, accessible without asking permission, covering at least money, contracts, data deletion, autonomous communications and modifying other systems.

Bad answer: a description of capabilities. If a provider only describes capabilities, there is no evidence to assess where the authorisation boundary sits.

The list of prohibitions tells you more than the list of capabilities, because it bounds the risk even as the product evolves.

3. What digital signature proves it, and where is the private key held?

Good answer: an open standard — for example, W3C Verifiable Credentials 2.0 signed with ES256 — and a private key held in a key management module, outside the web server.

Bad answer: "we have logs". Logs have to be reviewable within the framework agreed with the client, with the necessary access and confidentiality guarantees.

If the answer involves a proprietary format, ask who else can validate it. If only their tool can, you are still trusting their word.

4. If you change the agent's prompt or tools, do I find out?

Good answer: there is a signed version of the manifest, a change process and a check of the effective configuration. A registered hash helps, but on its own it does not detect external permissions or prompts loaded into another service.

Bad answer: "we would let you know". That depends on someone remembering, in the middle of a deployment, to tell a client.

This is the question that separates providers most sharply, because it requires the system to have been designed with that property from the start. The technical detail is in what a digital ID for AI agents is.

5. How is that identity cancelled if there is an incident?

Good answer: public revocation, a defined expiry and a rehearsed access withdrawal with measured times. The provider should explain caches, sessions and the behaviour when verification fails.

Incomplete answer: "we deactivate the agent", with no evidence of the cut-off and no update to its public status. The revocation guide explains why both have to be checked.

6. Can I check it myself, without asking your permission?

Good answer: a public page where anyone runs the checks without signing up. You can see it working in the public verifier for the agent Argos, and consult the list in the public agent registry.

Bad answer: access on request, a dashboard you have to enter with the provider's credentials, or a PDF sent by email. If verification depends on the party being verified, it is not verification.

If your provider cannot answer all six, it does not mean they are bad people. It means their transparency depends on you believing them.

A scoring table to take into the meeting

Score each question from 0 to 2: 0 if there is no answer, 1 if it is an internal promise, 2 if a third party can check it.

#Question0 points1 point2 points
1Accountable companyOnly a brandCompany named verballyCompany and registry code published
2Prohibitions in writingNone existIn a private contractPublished and accessible
3Signature and key custodyNo signatureProprietary signatureOpen standard and key in a KMS
4Notice of changesNoManual communicationIdentity bound to the manifest hash
5CancellationInternal deactivationRevocation on requestPublic revocation, expiry and tested cut-off
6Independent checkImpossibleOn requestPublic page with no sign-up

A provider below 6 points is not ready for its agents to act outside your perimeter. Between 6 and 9, it works for internal tasks with supervision. Above 10, you can consider giving it external scope with human approval.

Two extra questions if the agent touches customers

When the agent communicates with people, add two more. The first: how does it identify itself as an AI system in every channel, not just on the website? That is the core of the transparency obligation we analyse in Article 50 of the AI Act for SMEs.

The second: who approves each external action and how is that approval recorded? In our superagents, the top operational level is A4: persistent or external action only with valid human approval. No autonomous money movement, no deleting audit trails, no privilege escalation: those actions are out of reach for any agent, whatever its level.

What to do with the answers

The answers to these six questions should end up in the contract, not in an email. Specifically: the accountable company with its registry code, the list of prohibitions as an annex, a commitment to notify or to break the credential when the configuration changes, a revocation deadline in the event of an incident, and the URL for public checking.

And it is worth remembering the limit: the signature verifies the origin and integrity of a declaration. It does not guarantee quality, or that every limit is enforced during execution. Protecting the system against abuse is another layer, which we cover in AI agent security.

Frequently asked questions

Do these questions apply if the provider is large?

Yes, and they tend to be more revealing. A large provider has abundant documentation about the model and, often, very little about the specific scope of the agent it deploys in your company, which is what matters here.

What do I do if the provider cannot answer the fourth one?

Ask at least for a contractual notification of configuration changes with a deadline, and keep the version of the manifest or the functional description as of the contract date. It is not equivalent, but it gives you something to check against.

Does this apply to internal agents that do not talk to customers?

It applies proportionally. An internal agent does not create the same transparency obligation, but it carries the same scope risks: data access, irreversible actions and uncontrolled configuration changes.

How long should a provider take to answer?

In the meeting itself, except for the registry code. If they need a week to tell you what their agent is forbidden to do, the real answer is that they have not decided yet.

What to do with this

  1. Send the six questions in writing before the demo, not after.
  2. Score with the table during the meeting, not from memory the next day.
  3. Take the answers into the contract, with the list of prohibitions as an annex.
  4. Check for yourself the verification URL they give you, in a window with no session open.
  5. Repeat the exercise at every renewal, because an agent's configuration changes far more than traditional software does.

If you want us to review your current providers' answers and the real scope of your agents with you: book your Digital Audit.

Editorial update of 17 September 2026, produced with the support of AI tools and cross-checked against public documentation. It is not presented as an external audit.

Identity and execution: the scope of this explainer

The public checks describe the credential and its relationship with the registered manifest. They do not prove the authentication of whoever presents it, the state of each external permission, or that actions are actually blocked. See the published evidence and limits.

    [
    / 100 ]

    Your company knows more
    than it acts on.

    what we build super apps superagents enterprise brain ES EN
    Enterprise AI ecosystems
    We build the brain that brings it all together. And the agents that put it to work.
    BOOK YOUR DIGITAL AUDIT
    One hour. No sales deck.

    Every tool holds
    one piece.
    None sees the whole.

    And the call gets made blind
    on what is already known.

    We call it Context Debt.
    COMPANIES THAT ALREADY TRUST US
    Bioparc Fundación Bioparc De La Guía y Luzón Alumed La Tagliatella Semamcoin Transportes López Vialcanet Torrent CF Puchades KDOS Consulting Ludo Ciencia Gómez Avanza INCIBE Percent Subvia Bioparc Fundación Bioparc De La Guía y Luzón Alumed La Tagliatella Semamcoin Transportes López Vialcanet Torrent CF Puchades KDOS Consulting Ludo Ciencia Gómez Avanza INCIBE Percent Subvia

    But this
    can be fixed.

    Four ways
    to build it.

    01 Super apps Your idea, running.
    02 Superagents A whole process, without you.
    03 Ecosystems Your tools, talking to each other.
    04 Enterprise brains Your company, remembering.
    SEE WHAT WE BUILD
    APPS
    AGENTS
    ECOSYSTEMS
    Your company working
    as one single intelligence.
    One brain. One set of data. One truth.
    24/7
    agents that
    never close
    ONE TRUTH
    the same figure
    for everyone

    Start where you are.

    Grow as far as you want.

    One agent. Then another. Then the brain that joins them up.
    NEXT-5 Roadmap

    One hour.
    One map.