Authority assurance for AI agents

AI agents can act.
Prove they’re
authorised.

Bring verifiable authority to autonomous action. Know who authorised your AI, what it can do, and when that authority ends.

Introducing AADI. Built for enterprise accountability.

Every action.
A clear line of authority.

Who authorised it?What was delegated?Is it still valid?

The missing layer

Give autonomy
clear boundaries.

As AI moves from making recommendations to taking action, enterprises need to verify the authority behind every step. AADI is building the infrastructure to make that possible.

01 / AUTHORITY

Know who can act.

Connect an agent’s permissions to an accountable authority holder, with explicit scope, limits and conditions.

02 / DELEGATION

Keep control as work moves.

Trace how authority passes between people, systems and agents, so each delegation stays within its boundaries.

03 / EVIDENCE

Make accountability verifiable.

Preserve a tamper-evident record of the authority, constraints and checks behind an action.

Introducing AADI

Authority,
made verifiable.

Our first product is being developed to verify delegated authority at the point an AI agent acts, and preserve the evidence for oversight and audit.

Trace the mandate behind an action.

Check its scope, conditions and validity.

Keep evidence that can be verified.

Explore a pilot with AADI
AADI / AUTHORITY CHECKIllustrative example

PROPOSED AGENT ACTION

Approve supplier payment

£2,400Authorised
Authority holderFinance lead
Delegated toPayments agent
Delegation chain
Valid
Spending limit
Within £5,000
Mandate status
Active

The action is within delegated authority.

An active mandate covers the action, the amount is within the £5,000 limit, and the recipient is an approved supplier.

A simplified concept demonstration. No live transactions or production verification.

From intent to accountable action.

The AADI approach
  1. 01

    Define

    Model who holds authority and the limits that apply.

  2. 02

    Delegate

    Issue a scoped mandate to an agent, with clear conditions.

  3. 03

    Verify

    Check that authority is valid when an action is proposed.

  4. 04

    Evidence

    Record the authority and checks for verification and review.

Built to fit your AI environment

AADI is designed to work alongside existing identity, agent orchestration and governance systems, with authority assurance as a dedicated layer.

Where accountability matters

Real actions.
Real consequences.

Starting with regulated financial services, where AI actions need clear boundaries and a traceable line of authority.

Give onboarding agents a defined mandate to collect evidence, perform checks and escalate exceptions.

Can this agent clear this case, or is human approval required?

Make the approval boundary explicit and preserve the authority behind each step.

About AADI

Building the foundations
for accountable AI.

AADI is a UK deep-tech company developing authority assurance infrastructure for AI agents. We help organisations move towards autonomous systems whose authority can be understood, controlled and evidenced.

Our conviction

Every autonomous action should have a verifiable line of authority.
Currently in development

We’re developing AADI with an initial focus on enterprise pilot use cases in financial services.

Start a conversation

What will you
trust your
agents to do?

Tell us about the workflow you’re exploring and the authority challenges you need to solve.

For enterprise teams, technology partners and organisations exploring pilot opportunities.

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