Three ways to get clear on AI: assess, decide, or control.
FM Doctor helps regulated teams understand their current position, judge what is worth pursuing, and put workable guardrails around AI use already in motion.
The work is designed to surface constraints early — data, governance, capability, time — and support informed decisions without hype, overreach, or tool-first thinking.
Advice-only. Fixed-scope. For regulated teams.
Assess
For teams that need a clear baseline before they commit to tools, pilots, vendors, or bigger internal programmes.
Core review
Price guide: from £2,250 ex VAT
A proportionate, clarity-first AI readiness assessment to clarify your current position: what is happening, what governance and delivery constraints are real, and what a sensible next step looks like.
Agent readiness (advanced)
Price guide: from £3,250 ex VAT
A focused review of whether the organisation is ready to move from AI assistance into delegated actions, agentic workflows, hand-offs, and tighter control requirements.
Decide
For buyers with ideas, pressure, or looming commitments who need practical judgement before energy turns into spend.
Use case review (prioritisation)
Price guide: from £2,950 ex VAT
A structured review of candidate AI opportunities so you can distinguish what is viable, what is premature, and what is not worth pursuing.
Pre-investment review
Price guide: from £3,950 ex VAT / scoped quote where needed
An independent review before major platform, cloud, ERP, automation, or AI commitments, so leadership has a clearer basis for deciding whether the proposed direction holds up.
Control
For teams where AI is already happening, governance is catching up, or the organisation needs practical boundaries fast.
FMD Signal
Price guide: from £2,450 ex VAT
Help define a consistent AI use classification and control method so teams know what can proceed lightly, what needs stronger review, and where tighter handling is required.
Guardrails
Price guide: from £4,250 ex VAT / scoped quote after pre-work where needed
A focused review where the main concern is exposure: policy gaps, shadow use, data handling risk, and whether practical boundaries are clear enough.
How to choose
Start with Assess. The Readiness Review is designed for the buyer who needs orientation before deciding where to spend effort.
Use Decide. The goal is to identify what is worth doing, what should be reshaped, and what should stop early.
Use Control. The goal is practical guardrails, not policy theatre or late-stage approval rituals.
You’ll get structured decision-support output leaders can review and adapt. View a composite sample from a real report.
Composite sample. No client data.
See the AI readiness review sample outputIf there’s a fit, the process stays simple: gather context, clarify scope, then provide a focused advisory output that supports your next decision on AI.
Workshops are available where teams need shared understanding, alignment, or sense-making to move forward with more control. These are not generic training sessions - they are structured conversations designed to reduce ambiguity and support decisions.
Workshops from £1,390 ex VAT | Readiness reviews from £2,250 ex VAT
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.
A sponsor who owns the outcome, plus 2-6 people who understand day-to-day reality (operations, estates, IT/IG, governance - as relevant).
For a Readiness Review, this is usually 15-30 minutes of stakeholder time, plus a short questionnaire and any existing docs you already have.
The Readiness Review is typically 5-7 working days from kick-off, assuming stakeholder availability and timely access to basic context (policies, examples, current concerns).
If there is a deadline, we can run a narrower, accelerated version - with scope kept tight.
Sometimes - to speed up drafting, summarising, or structuring. But deliverables are human-reviewed and accountability-led.
Nothing is accepted "because the tool said so". If you prefer, we can agree an AI-restricted approach.
By staying method-first, not tool-first. We start with your operating reality, then test claims against evidence (documents, process, risk context, and stakeholder input).
We make constraints explicit (data, governance, capability, time) and document decisions, trade-offs, and assumptions so leadership can explain why a route was chosen.
If the basics are not in place: highly sensitive data with weak controls, no clear ownership/accountability, unclear problem definition, or no realistic capacity to operate with appropriate control.
In those cases, the right recommendation may be to pause, tighten governance, or choose a non-AI route until conditions are suitable.
Please do not send it. This work is designed to avoid needing patient-identifiable or sensitive operational data.
If access is genuinely unavoidable, it is only with explicit written arrangements and secure handling - but the default is: redacted, anonymised, or synthetic examples.
Consultancy. Advice-only. Not certification.
You remain responsible for decisions, implementation, and compliance. The output is designed to support defensible decision-making, not act as sign-off.
A proportionate pack that helps you decide what is viable next, typically including:
Three common routes:
We leave your team with capability, not dependency.
FM Doctor’s method uses NIST AI RMF as a core organising lens, then draws on UK regulatory, data protection, ethics, and standards reference points where they are useful to the review.
The result is practical advisory judgement, not legal advice, certification, or regulatory sign-off.
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.
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