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 advice for regulated teams that need a clear starting point fast.
Stands up in audit
As AI becomes part of national capability and infrastructure, organisations need a clear, defensible way to use it in practice.
FM Doctor helps operational and leadership teams decide where AI is worth pursuing, where it is not, and what a proportionate starting point looks like.
Fixed-scope reviews and workshops give you practical decision support with a clear endpoint, defined input, and a grounded basis for next steps.
Readiness reviews from £2,250 ex VAT | Workshops from £1,390 ex VAT
AI Assisted Enquiry · 2 minutes
Not sure where to start? Describe your situation and get a suggested starting point for FM Doctor to review.
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Free download
AI: What Not To Do. A practical one-page guide to help regulated teams avoid unsafe AI use, data mistakes, and false assurance.
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 →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.
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.
Leadership alignment is lagging AI use
26%of AI users
say their leadership is clearly and consistently aligned on AI, while 65% fear falling behind if they do not use AI.
The issue is not just access to AI tools. It is whether organisations have clear ownership, governance, review expectations, and workflow boundaries before AI use scales.
What getting AI decisions right changes
Operational outcomes, not AI theatre
Fewer wasted pilots
Avoid spending time and budget on use-cases that stall on weak ownership, poor data, or controls discovered too late.
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 starting point, 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-support outputs: Material you can review and adapt to brief leadership, challenge assumptions, or pause with clearer rationale.
- 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-support material: a heatmap, domain-by-domain observations, and a minimum risk-aware next steps table leaders can review and adapt.
Composite examples only. No client data. See the full AI readiness review example-output section.
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: structured advisory reviews informed by recognised governance and ethics reference points where useful, with NIST AI RMF as a core organising lens for regulated environments.
Typical turnaround: 10 - 14 days average.
- – AI readiness assessment for regulated teams for a proportionate baseline and clear next-step decision support.
- – AI Use Case Review for candidate opportunities that need practical judgement before spend.
- – 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.
Signal
Classification and control that teams can actually use
For organisations that need a clearer internal rule-set for AI use across teams, workflows, and approval decisions.
Signal helps teams classify AI use by exposure and control need so similar cases stop being handled in wildly different ways.
- – Judge AI influence, information sensitivity, and reliance in context
- – Return a proportionate review expectation for ownership, checking, and evidence
- – Support more consistent control decisions before use scales further
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 to help regulated teams avoid unsafe AI use, data mistakes, and false assurance.
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.
- AI Governance Needs Classification, Not Just Policy.
- The Hosting Debate Is Not Really About Hosting.
- Operating Model Redesign Will Come Slowly in Regulated Firms.
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 to respond to your enquiry, manage any agreed work, and keep proportionate records as described in the Privacy notice.