AI Controls and Assurance Readiness Review
A senior, independent assessment that turns AI principles into operational controls, defensible evidence, and audit-ready assurance across the AI lifecycle.
In simple terms: you will know what AI you have, what risks matter most, what controls should exist, and what you can actually prove today.
What you get at the end
A defensible view of AI risk, control coverage you can evidence, and a roadmap leadership can act on.
Defensible view of AI risk
Clear scoping, risk tiering, ownership, and escalation paths for the AI systems that matter.
- Use-case inventory and risk drivers
- Accountability and decision points
- Practical oversight expectations
Control coverage and gaps
A control baseline and gap analysis across governance, data, and security controls mapped to lifecycle stages.
- Control coverage matrix
- Effectiveness and maturity signals
- Prioritised gaps by materiality
Evidence and auditability
What you can prove today, what needs strengthening, and what auditors and regulators typically expect to see.
- Evidence inventory and ratings
- Auditability review
- Board-ready assurance narrative
Control-led, evidence-driven
Frameworks are reference points. Evidence and operational reality are the standard.
Core activities
Structured work to understand your AI landscape, validate controls, and produce defensible outputs.
- AI system and use-case scoping with risk tiering
- Control baseline and gap analysis across lifecycle stages
- Evidence inventory and auditability assessment
- Findings synthesis and prioritised recommendations
- 12-month assurance roadmap aligned to delivery reality
Typical deliverables
- AI system register and risk tiering
- Control coverage and gap matrix
- Evidence inventory with assurance ratings
- Executive summary for boards and senior leadership
- 12-month governance and assurance roadmap
Who this is for
Boards, CISOs, AI leads, and risk functions in regulated or high-impact environments. Ideal when AI is moving from pilot to production, scaling across teams, or facing external scrutiny.
Typical timeline
- Foundation 2–3 weeks
- Core 4–6 weeks
- Enterprise 6–10 weeks
Fixed fee ranges by region
Fees are agreed upfront. Final pricing depends on scope, risk profile, and organisational complexity.
United Kingdom
- Foundation £9,500 – £15,000
- Core £18,000 – £30,000 (typical engagement)
- Enterprise £35,000 – £65,000
European Union
- Foundation €12,000 – €18,000
- Core €22,000 – €40,000 (typical engagement)
- Enterprise €45,000 – €80,000
GCC
- Foundation AED 55,000 – 85,000
- Core AED 95,000 – 160,000 (typical engagement)
- Enterprise AED 180,000 – 320,000
Start a confidential conversation
If you are planning a significant AI initiative, scaling AI across teams, or need independent assurance on existing systems, I am happy to explore whether this engagement fits. There is no obligation.
Independent, practical, and regulator-literate. Controls first. Evidence always.