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Service S.5 — Technology

AI on the agenda — governed, not gambled.

Every board now faces the same pair of questions: where does AI genuinely change the economics of this business, and how do we adopt it without betting the company on hype? MAXFR answers both at board level — strategy, governance and delivery together — from a practitioner who builds with these tools, not just talks about them.

AI at board level
Service S.5
Is this you?

When AI becomes a board matter.

  • Competitors are claiming AI advantages and the board can't tell signal from theatre.
  • Pilots have started bottom-up, with no owner, no policy and no success criteria.
  • Customers, insurers or investors have started asking what your AI position is.
  • The website and digital estate look five years older than the business is.
  • You suspect real opportunity — in service, operations or product — but need it tested commercially.
The engagement

The mistake most businesses make with AI is treating it as an IT procurement decision. It's a strategy and governance decision: which parts of your model it changes, what risks it imports — data, IP, regulatory, reputational — and what the board will and won't permit. That framing comes first; tooling comes after.

Max approaches this as an operator and a technologist: a Member of the British Computer Society (The Chartered Institute for IT), with a background spanning e-commerce manufacturing, blockchain research and analytics as co-founder of BlockSmith Capital, and current service as Advisory Chair of Unsigned Research, a systematic digital-asset trading firm where models meet real money daily.

Delivery is hands-on where it should be. That includes modern digital platforms — fast, search-optimised websites and interactive decision tools. The Board Advisory Diagnostic on this site is a working example of the kind of intelligent funnel MAXFR designs and ships for client businesses.

What it includes

From question to capability.

AI opportunity & risk map

A structured pass over your value chain: where AI changes cost, speed or quality enough to matter — and where it's noise. Each opportunity sized commercially, each risk named honestly.

Board AI policy & governance

A short, usable policy: permitted uses, data boundaries, human oversight, vendor standards and reporting. Governance that enables adoption rather than smothering it.

Pilot design & delivery

One or two pilots scoped with hard success criteria, owners and end dates — then delivered, measured and either scaled or stopped. No zombie projects.

Digital platform builds

Websites, funnels and decision tools designed and shipped: modern, fast, structured for search engines and AI assistants alike — built the way this site was built.

Capability & literacy

The board and senior team brought to genuine working literacy — enough to interrogate vendors, read risk and spot opportunity without an interpreter.

Shape & commitment

How the engagement runs.

Phase 1Diagnostic and opportunity map — typically 3–4 weeks
Phase 2Roadmap, policy and pilot design — agreed at board level
Phase 3Governed delivery at your pace; build work scoped per project
FormStandalone programme, or folded into a chair / NED engagement
Fees — honest context

What it costs.

Board-level digital and AI advisory typically runs at senior consultancy rates of £1,200–£2,500 per day; platform and tool builds are quoted fixed-fee per project after scoping.

Figures are indicative UK market context, not a quotation — every MAXFR engagement is scoped first and priced in a written letter of engagement, with review points both sides can use. For broader numbers, see the NED & chair fees guide.

Questions

Asked about this engagement.

Do we need a data science team first?
No. Most SME value comes from applying existing, proven AI capability to your workflows and customer experience — a strategy, governance and integration problem before it's ever a research problem.
Can you actually build, or just advise?
Both, deliberately. Strategy that can't be shipped is decoration; MAXFR designs and delivers working platforms and tools — this site, and its diagnostic, included.
How do you handle AI risk and compliance?
By writing it down and governing it: data boundaries, human-in-the-loop rules, vendor due diligence and board reporting, proportionate to your sector's regulatory context. The aim is confident adoption, not paralysis.
Is this only for tech businesses?
The opposite. Manufacturers, services firms and B2C businesses often gain the most, because nobody in their market has done it properly yet. Max's operating background is manufacturing and e-commerce, not Silicon Valley.
Further reading

From the Knowledge hub.

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