Practical AI Advisory

Service 01

AI Readiness Review

A proportionate, clarity-first review to establish your baseline: what is happening, what constraints are real, and what a sensible next step looks like.

Price guide: from £2,250 ex VAT
5–7 working days 15–30 mins stakeholder time Advice-only (no sign-off)

Method

FM Doctor’s method is built on the NIST AI Risk Management Framework, with reference to the NIST Generative AI Profile where relevant. It is interpreted for UK regulated environments using the UK’s cross-sector AI regulatory principles and ICO guidance, and informed by international standards including ISO/IEC 42001, ISO/IEC 23894, and the OECD trustworthy AI principles, taking account of emerging regulatory regimes such as the EU AI Act where relevant.

FM Doctor is advice-only and does not certify organisations. For mature organisations, support can include a roadmap towards management system controls aligned to those standards. Implementation and any certification are separate.

Who it is for

  • Early stage teams with unclear direction
  • Leadership pressure to do something practical
  • Organisations that need a proportionate first step

Not the right fit if

  • You already need deep cross-team evidence for board scrutiny
  • Your main issue is active policy breach or loss of control
  • You need implementation delivery rather than advisory clarity

Problems this solves

Before

  • Mixed messages on AI priority
  • Unclear constraints across data, governance, and capacity
  • Pressure to commit without enough context

After

  • Clear baseline and risk-aware view of current readiness
  • Practical recommendations, not generic theory
  • Now / Next / Later path leadership can use immediately

What is included

  • Short intake plus targeted pre-work questionnaire
  • High-level readiness and risk view
  • Optional readiness heatmap and scored review summary (where useful)
  • Practical recommendations and a Now / Next / Later path
  • One short call, or email-only delivery if preferred

Any heatmap or score is decision support from the review to clarify priorities and next steps, not a compliance rating or certification outcome.

Sample output

Output preview (redacted)

A composite preview of the outputs you receive: a readiness heatmap plus a practical table of observations and minimum risk-aware next steps.

Composite preview. No client data.

Start an enquiry Compare options
Readiness heatmap (preview)
Heatmap showing eight AI readiness domains positioned by Readiness (low to high) and Defensibility (low to high). Open full-size heatmap
Observations table (preview)
Redacted table example showing AI readiness areas with observations, why they matter, and the minimum risk-aware next step. Open full-size table
Composite previews. No client data. Click either image to view full size.

Process and timeline

  1. Step 1: Pre-work submitted and context confirmed.
  2. Step 2: Short stakeholder call (optional if email-only).
  3. Step 3: Baseline and risk view produced.
  4. Step 4: Recommendations delivered in a Now / Next / Later format.

Typical turnaround: 5-7 working days from completed pre-work.

Your time required: 15-30 mins stakeholder time plus questionnaire and key documents.

Service-specific FAQ

What is the difference between the Readiness Review and a full assessment?
The Readiness Review is a fast baseline for clarity and immediate direction. The Full Assessment is deeper, broader, and built for leadership-level scrutiny.
Can this be delivered email-only?
Yes. This service is designed to stay lightweight and can run with one short call or email-only if preferred.
How much stakeholder time is needed?
Usually 15-30 minutes plus questionnaire completion and any existing docs that explain your context.
What does the Now / Next / Later path include?
Immediate actions, near-term priorities, and later options, sequenced to keep momentum without over-committing too early.
What documents should we share?
Policy notes, process docs, known risk issues, or examples of current AI use. Redacted material is normally enough.
What framework do you use?
FM Doctor’s method is built on the NIST AI Risk Management Framework, with reference to the NIST Generative AI Profile where relevant. It is interpreted for UK regulated environments using the UK’s cross-sector AI regulatory principles and ICO guidance, and informed by international standards including ISO/IEC 42001, ISO/IEC 23894, and the OECD trustworthy AI principles, taking account of emerging regulatory regimes such as the EU AI Act where relevant.
Are you ISO certified?
No. FM Doctor is advice-only and does not certify organisations. For mature organisations, support can include a roadmap towards management system controls aligned to those standards. Implementation and any certification are separate.
Book an AI Readiness Review Compare all services

Also consider: AI Governance & Guardrails Review or the wider AI advisory services.

Accessibility options

Text size