The Science of Lean AI Strategy™

Find the right AI opportunity.

A structured process to diagnose where AI would create the most value in your business, validate it, and give you a concrete plan to deliver it.

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Who This Is For

Built for leaders who know AI matters
but aren't sure where to start.

You've got a list of AI ideas. Your team has opinions. The vendors are calling. But nobody's answered the hard question: which intervention will actually deliver ROI in your business, given your constraints?

Enterprise consultants will charge £150K+ and take six months to answer that question. You don't have the time or the budget for that. You need clarity — fast.

01

You know AI matters, but not where to start

The possibilities are overwhelming. You need someone to cut through the noise and tell you which opportunity is worth pursuing first.

02

You've tried something that hasn't worked

You ran a pilot, bought a tool, or hired a freelancer — and it didn't deliver. You need a method, not another experiment.

03

You need your team aligned

Different people have different ideas about what AI should do. You need a structured process to get everyone on the same page.

The Method

The Science of Lean AI Strategy™

Lean AI Strategy is the Science of AI operating at the portfolio level — not one project, but your entire AI landscape. The diagnostic generates hypotheses. The workshop experiments to validate them. The roadmap formulates the plan. Execution bridges to delivery.

Hypothesis
Stage 01 — Hypothesis

The self-serve diagnostic

The diagnostic pattern-matches your situation against our pattern library and produces 3–5 ranked hypotheses: "We believe AI could address X in your business." Free, scalable, and immediate — you get a clear picture of where the opportunities are before any conversation.

Experiment
Stage 02 — Experiment

The facilitated workshop

The paid workshop stress-tests your top hypotheses against reality: actual processes, data, constraints, and costs. We deep-dive the top 3–5 opportunities — current process, cost of the problem, data availability, agentic future state, complexity, governance needs. Some hypotheses survive. Some don't. That's the point.

Formulation
Stage 03 — Formulation

The prioritised roadmap

Validated opportunities are prioritised on impact-vs-effort, mapped to the right service line (AI Agent Build, AI Tool Build, or AI Product Build), and phased into a concrete roadmap. This is the deliverable — a plan your whole team trusts with clear next steps.

Execution
Stage 04 — Execution

Bridge to delivery

You engage Ferrous Labs for the actual build. Each project then follows its own Science of AI cycle at the project level. Strategy connects seamlessly to build — the same team, the same method, applied to the specific intervention.

The Outcome

Clarity. Confidence. A plan that works.

You stop guessing and start building the right thing. Your team is aligned. Your budget is focused. And you have a clear path from strategy to delivery.

✓ Prioritised list of 3–5 AI opportunities scored on impact, feasibility, and data readiness
✓ Experiment designs for your top 1–2 opportunities — what to build, how to validate, cost, timeline
✓ Clear recommendation on which outcome to pursue and which service line delivers it
✓ A 12-week roadmap your whole team trusts
Engagement Structure

Typical Scope

PhaseTypical Effort
HypothesisFree diagnostic
Experiment1 workshop
Formulation1 × R&D Sprint
ExecutionOther projects

Typical timeline: 1–3 weeks. Exact scope agreed before any paid work begins.

Ready to find your highest-impact
AI opportunity?

Take the free diagnostic. Five minutes. Immediate results. No commitment.

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