Established 2017 · Data & AI Governance

Govern the data.
Audit the AI.
Control the action.

Accountable data governance. Evidence-led AI assurance. Proprietary controls designed to check AI-agent actions before they change enterprise systems.

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For organisations that need clear ownership, effective controls and evidence that stands up to scrutiny.

Established July 2017Now in our tenth year
Governance + assuranceFrom accountability to evidence
Proprietary agentic control IPWorking prototype · UK patent pending
Our capabilities

One connected approach.
Four practical capabilities.

Govern the information AI relies on. Assess the risks and controls. Define how agents are allowed to act.

01 / DATA

Data Governance

Build ownership, stewardship and quality controls around the data that matters to your organisation.

Explore data governance
02 / GOVERNANCE

AI Governance

Establish an AI inventory, risk classification, policies, decision rights and oversight across the lifecycle.

Explore ai governance
03 / ASSURANCE

AI Audit & Assurance

Assess governance, documentation and control effectiveness. Turn findings into prioritised remediation and evidence.

Explore ai audit & assurance
04 / CONTROL

Agentic AI Controls

Connect governance requirements with authorisation checks before AI agents change enterprise systems.

Explore agentic ai controls
Our differentiator
Proprietary IP · UK patent pending

Governance at the
point of action.

Policies define what should happen. Assurance tests whether controls work. Our proprietary agentic AI control approach is designed to verify whether a specific action is authorised before it executes.

Explore our agentic control IP

A working prototype of each core component has been built and tested. This is a prototype-stage capability.

  • 01

    Bound to the exact action

    A permit is cryptographically bound to the action being authorised.

  • 02

    Single use, checked at execution

    Designed to prevent reuse of approvals, altered actions and duplicate execution.

  • 03

    Hard rules take precedence

    Safety rules cannot be overridden by a statistical model.

  • 04

    Fail closed

    Execution is withheld when the underlying data is stale or incomplete.

A practical starting point

Know where you stand.
Know what to do next.

An AI Governance & Audit Readiness Assessment gives you a clear view of governance gaps, control weaknesses and the evidence you need.

Discuss an assessment
  1. Governance baseline

    Review your AI inventory, accountability and existing policies.

  2. Risk and control gaps

    Identify weaknesses against the agreed assessment criteria.

  3. Evidence readiness

    Review documentation, approvals and testing records.

  4. Prioritised 90-day roadmap

    Set practical actions, owners and next steps.

  5. Executive findings briefing

    Give decision-makers a clear view of the findings.

Experience in complex environments

Built for scrutiny.
Grounded in practice.

Our approach draws on leadership experience in regulated and complex organisations, including governance operating models, model validation and board-level risk reporting.

BankingDefenceEnergyTelecommunications
01 / ASSESS

Understand the exposure

Agree the scope, understand your systems and identify governance and control gaps.

02 / DESIGN

Make accountability clear

Define ownership, decision rights, control requirements and proportionate oversight.

03 / ASSURE

Build the evidence

Review implementation, document findings and prioritise the actions that matter.

Turn governance into control.

Start with your most pressing data, AI assurance or agentic AI governance challenge.

Discuss your requirements