Practical. Risk-based.
Evidence-led.
We make AI governance practical and proportionate. VerifyAI turns complex standards, regulations and AI risks into clear frameworks, effective controls and evidence that organisations can act on.
From complexity
to clarity.
Standards, regulations and AI risks are complex. What organisations need from them is simple: frameworks, controls and evidence they can act on.
- Complex Standards
- Regulations
- AI Risks
- Clear Frameworks
- Effective Controls
- Evidence you can act on
Three principles behind
every engagement.
AI governance should be practical and proportionate, and it should leave evidence behind.
Practical
Complex standards and regulations, translated into clear frameworks your teams can actually operate.
Risk-based
Governance proportionate to each AI use case: more scrutiny where the risk and impact are higher.
Evidence-led
Effective controls and documentation that demonstrate governance, not just describe it.
Discover. Classify. Govern.
Evidence. Improve.
Five connected steps, run as a loop rather than a one-off project.
- 01
Discover
Understand where and how AI is being used.
- 02
Classify
Determine risk, impact and governance requirements.
- 03
Govern
Establish policies, accountability and controls.
- 04
Evidence
Create the documentation and evidence needed to demonstrate governance.
- 05
Improve
Monitor, remediate and continuously strengthen governance.
AI governance is not a one-time exercise. It is a continuous management discipline.