Fewer wasted pilots
Avoid spending time and budget on use-cases that stall on weak ownership, poor data, or controls discovered too late.
AI advice for regulated teams that need a clear recommendation fast.
Stands up in audit
FM Doctor helps operational and leadership teams decide where AI is worth pursuing, where it is not, and what a safe starting point looks like.
Fixed-scope reviews and workshops give you a practical recommendation without turning the work into a sprawling consultancy programme.
Readiness reviews from £850 ex VAT | Workshops from £395 ex VAT
AI Assisted Enquiry · 2 minutes
Not sure where to start? Describe your situation and get a sensible first recommendation.
Please do not include sensitive, patient, or confidential information.
Free download
AI: What Not To Do. A practical one-page guide for regulated teams.
Who is FM Doctor
FM Doctor is led by Craig Bromyard. The work is grounded in operational environments where governance, audit, and risk are everyday constraints, with 10+ years across healthcare and commercial settings.
About Craig and FM Doctor →What getting AI decisions right changes
Operational outcomes, not AI theatre
Faster leadership alignment
Give sponsors, operational leads, and governance stakeholders a shared view of what is viable now, later, or not at all.
Less late-stage rework
Catch control, data, and accountability issues before they derail procurement, rollout, or internal sign-off.
Time and effort back
Stop low-value activity and focus on use-cases that are feasible, owned, and worth doing.
Buy scoped advisory support when you need a usable recommendation, not a long discovery exercise.
- Fixed scope: A defined piece of work with a clear endpoint, timeline, and output.
- Minimal stakeholder lift: Targeted input from the right people, not weeks of workshops and chasing.
- Decision-ready outputs: Material you can use to brief leadership, challenge assumptions, or pause safely.
- Independent advice: No platform to sell, no implementation agenda, no pressure to keep expanding scope.
- Operationally literate: Built for environments where continuity, audit, ownership, and scrutiny matter.
What The Work Looks Like
Composite examples of advisory output, not just service promises
A typical readiness review produces decision-ready material: a heatmap, domain-by-domain observations, and a minimum-safe-next-steps table leaders can actually use.
Composite examples only. No client data. See the full AI Readiness Review page for the complete example-output section.
Why act now: UK AI reality check
AI adoption is moving ahead whether governance catches up or not, which makes informal experimentation the bigger risk.
Public-sector productivity gains are now tangible
400,000hours per month (potential)
NHS trial results indicate Microsoft 365 Copilot could save up to 400,000 staff hours monthly at full roll-out.
AI is already in use
25%of UK businesses
reported using AI in late December 2025.
Source: ONS BICS bulletin (8 Jan 2026).
Strategic urgency is already clear
76%of public-sector respondents
believe AI will be important for their organisation in the next 3–5 years, with nearly half rating it very important or critical.
Source: Access PaySuite public-sector AI adoption report (27 Nov 2025).
Regulation clarity is now a growth factor
72%of businesses citing barriers
reported unclear or uncertain regulation as a significant blocker in UK government AI adoption research.
AI use is already happening. The risk is not starting too early; it is starting informally, without ownership, boundaries, or a defensible decision path.
Where to go next
Services
AI advisory services: assessments and focused reviews
For organisations that need AI advisory support on readiness, risk, and what’s viable next.
Method: built on NIST AI RMF, interpreted for UK regulated environments using the UK’s cross-sector AI regulatory principles and ICO guidance, with reference to the NIST Generative AI Profile where relevant, and informed by ISO/IEC 42001, ISO/IEC 23894, and OECD trustworthy AI principles.
Typical turnaround: 10 - 14 days average.
- – AI Readiness Review for a proportionate baseline and clear next-step recommendation.
- – Full AI Readiness Assessment Report for leadership-grade visibility, risk clarity, and roadmap decisions.
- – AI Governance & Guardrails Review for policy gaps, evidence standards, and shadow AI risk.
Need a lighter first step? Compare the AI workshops or start with the practical AI readiness downloads.
Workshops
Alignment and practical sense-making
For teams that need shared understanding, safe boundaries, and direction — without AI theatre.
Sessions: 30–90 minutes · Flexible group size (larger teams by arrangement).
- – First steps with AI
- – AI data, governance and risk
- – Use-cases that actually make sense
Before you buy
Useful before you are ready to buy.
Free downloads, practical decision support, and selected insights for teams that want a better first conversation before buying anything.
Free guide
AI: What Not To Do
A practical one-page guide for regulated teams.
Useful when the immediate need is to avoid expensive unforced errors.
Open downloads
How FM Doctor thinks
Practical AI advice starts by making the constraint visible.
The work is designed to surface what is actually shaping the decision: governance, data quality, ownership, capability, time, and whether the use-case should proceed at all.
Useful when the immediate need is clearer judgment, not a larger AI programme.
How FM Doctor worksLatest thinking
Insights that challenge weak AI decision-making before it hardens into policy.
- The hosting debate is not really about hosting.
- Operating model redesign will come slowly in regulated firms.
- The risk is not just bad outputs. It is false confidence.
Selected reading for teams trying to tighten judgment before they scale activity.
Open all insightsWhat happens after you contact
You will get a reply within 1–2 working days. If there is a fit, FM Doctor will recommend the smallest sensible starting point.
By contacting FM Doctor, your details will be used only to respond to your enquiry.