The compliance layer for AI agents.

Who said yes?

Your agent refunded a customer, changed a record or shipped code. A regulator, an auditor or your CISO will ask who approved it, under which rule, and what they were shown. Most teams cannot answer, so their agents stay in pilot. Deliverd answers it for every agent you run.

Why the question matters

  1. Your agents can't go live until you can show a person was in control.

    Regulators, auditors and your own risk team ask the same question about any action an agent takes: who said yes, on what, and when. Without an answer, agents stay in pilot.

  2. Every team is building the same approval step.

    One pauses in LangGraph, another in the Claude Agent SDK, a third never pauses. Your platform team writes the rules once, and every agent asks the same way.

  3. Your agents are everywhere, so the yes has to be too.

    Agents ask from the assistant, framework or pipeline they run in. People answer in Slack, Teams, email or on their phone. Nobody changes tools to stay in control.

For risk and compliance

Could you show who said yes?

Ten questions, about two minutes. Answer for the agent closest to production.

  1. 01Do you have a list of every AI agent that can take an action in your systems?
  2. 02For each agent, is it written down which actions need a person first?
  3. 03Does that rule live somewhere the agent itself cannot change it?
  4. 04When an agent needs a yes, does it reach a named person rather than a shared inbox?
  5. 05Can that person reject or correct what the agent proposed, not only approve it?
  6. 06Do actions above a limit need two people?
  7. 07Could you show what the approver was shown when they decided?
  8. 08Is that record kept where nobody, administrators included, can quietly edit it?
  9. 09Could you hand an auditor the record of one agent's decisions within a day?
  10. 10Do you check what data goes to a model before it is sent?

0 of 10 answered. Your result appears here when all ten are done; nothing leaves this page.

A self-check, not legal advice and not an assessment against any regulation.

For AI platform and engineering teams

An approval is a table and a button. Then there are these twelve.

Tick what you have already built. Every line is something Deliverd does today. The full comparison.

12 of 12 still to build, test and keep working, for every agent that needs a person.

Policy rules and two-person rules come with Business Starter, Business and Enterprise; everything else is on every plan.

Works everywhere you do

Any agent asks. The right person answers. The proof lands where your auditors look.

34 integrations working today, so nobody changes tools to keep a person in control.

  1. Any agent asks

    From the assistant, framework, cloud or pipeline it already runs in.

  2. The right person answers

    Where they already work, signed in the way your firm signs in.

  3. The proof lands where your auditors look

    Kept as it happens, in a record nobody can quietly edit.

    • Webhooks
    • SharePoint
    • An audit trail that refuses edits
    • One evidence pack in JSON, CSV or PDF
    • Signed decision tokens

Every integration, and what is coming

Answer it for one agent this month.

For AI platform teams

A paved road in an afternoon

Add one call to one agent, write your first policy, and every other agent on the platform asks the same way.

For regulated firms

A design-partner pilot

One real AI use case for 30 to 45 days, with named approvers, your rules and an evidence pack at the end.

Advising clients on AI? Apply to the partner programme.