Skip to content
For Risk, Compliance & Legal

Turn AI obligations into controls—and controls into evidence.

Connect applicability decisions, policy, controls, evidence requirements, exceptions, incidents and human review into one governed AI control environment.

Operating capabilities

Give Risk, Compliance & Legal the institutional controls behind the executive view.

01Regulatory Control Graph
02Policy Engine
03Authorisation Authorities
04Evidence Requirements
05Review Queue
06Audit Room
What improves

Move from fragmented reporting to accountable institutional management.

01Traceable applicability decisions
02Controls linked to obligations
03Visible evidence gaps
04Faster regulatory response
A practical starting point

Start with the operating questions that already exist.

01

Establish the current estate

Identify the relevant AI systems, owners, suppliers, decisions and existing sources of truth.

02

Expose the control and evidence gaps

Map where material decisions, obligations, evidence and economics are fragmented or missing.

03

Stand up the institutional operating model

Deploy the Cybatar workflows and evidence model needed for accountable ongoing management.

For Risk, Compliance & Legal

Discuss AI Risk & Compliance

Bring the questions your executive team is already struggling to answer. We will map them to the AI estate and the operating controls required.

Book briefing