Market-entry route
Tests channel economics, ownership, learning speed, operational readiness and the smallest credible experiment.
Read the market-entry insight →Frankow Ltd / AI-assisted decision support
Pressure-test important decisions before you commit.
A structured way to examine commercial, market-entry and operating choices from several expert viewpoints—then turn the debate into a clear, human-owned recommendation.
AI supports the analysis. Frankow Ltd remains accountable for the work.
See the disagreement
Different viewpoints expose assumptions that a single analysis can miss.
Trace the evidence
Claims, gaps and confidence stay visible instead of disappearing into polished prose.
Leave with a decision
The output is a recommendation, owners, next actions and explicit conditions for review.
Interactive sample
A decision workspace, not a chatbot.
Click through a simplified example. It shows the shape of a review without sending data or calling an AI service.
Decision 014 / In review
Which route should we use to enter the UK?
Compare distributor, marketplace and direct sales routes.
Find the fastest credible route to repeatable UK revenue without losing pricing control.
Specialist distributor · Amazon marketplace · direct retailer outreach
Limited local support capacity during the first six months.
Commercial viewDistributor reduces early friction, but margin and customer learning must be protected contractually.
Customer viewA specialist route helps explain the product; a marketplace may compress the proposition to price and reviews.
Risk viewOperational readiness—not demand—is the current uncertainty. Test fulfilment and support before scaling.
Three UK buyers report an active needObserved
Distributor margin estimateValidate
Support workload assumptionUnknown
Run a 90-day specialist-distributor test with protected pricing, named learning objectives and a direct customer-feedback loop.
Ten qualified customer conversations are complete or fulfilment failure exceeds 5%.
Change the challenge questions
The review method
From an unclear question to an accountable decision.
Frame the decision
Define the choice, objective, constraints and what “good” must mean.
Gather useful evidence
Separate observations from assumptions and identify material gaps.
Challenge from several views
Commercial, customer, operating and risk perspectives test the case.
Compare options
Make trade-offs, dependencies and reversibility explicit.
Record the recommendation
Capture rationale, confidence, dissent and the conditions attached.
Assign the next move
Name an owner, a smallest useful test and a date to revisit.
Question packs
Grounded in real operator work.
The Board uses focused questions for the decision at hand, informed by Frankow Ltd’s consulting work and published insights.
Sales and partner fit
Tests urgency, workflow fit, proof, delivery capability, repeatability and whether to deepen, change or stop.
Read the sales-research insight →AI deputisation
Tests whether work is repeatable, teachable and checkable—and where people must deputise, duet or defend.
Read the AI-deputies insight →Intellectual foundations
Selected frameworks, applied with judgement.
The Board is not “trained on” these books. Its question design and analytical approach draw on a curated business library, Frankow Ltd’s operating experience and decision-specific evidence. Relevant sources are named when they materially shape a review.
Market adoption
Crossing the Chasm — Geoffrey Moore
Test and learn
The Lean Startup — Eric Ries
Positioning
Obviously Awesome — April Dunford
Operating cadence
High Output Management — Andrew Grove
Innovation risk
The Innovator’s Dilemma — Clayton Christensen
Commercial design
Monetizing Innovation — Madhavan Ramanujam and Georg Tacke
Book titles and authors are referenced for attribution. Frankow Ltd is not affiliated with or endorsed by the authors or publishers.
Human accountability
The Board supports judgement. It does not replace it.
The AI Board was built to make Frankow Ltd’s decision work more structured, traceable and repeatable. AI helps explore viewpoints and surface gaps; Rafael Frankow reviews the evidence, challenges the output and remains responsible for the recommendation delivered to a client.
It works alongside Frankow Ltd’s consultancy: useful when a leadership team needs an independent challenge before entering a market, choosing a commercial route, changing an operating model or deciding where AI genuinely belongs.
Visit Frankow Ltd consultancyQuestions
What the AI Board is—and is not.
Is the AI Board an autonomous board of directors?
No. “Board” describes a structured set of viewpoints. It does not hold office, make legal decisions or replace directors, executives or professional advisers.
Does it guarantee the right decision?
No. It improves the quality and traceability of the decision process. Recommendations remain conditional on the available evidence and assumptions.
Was the system trained on the books listed above?
No. The books are selected intellectual influences. Their frameworks inform questions and interpretation; the site does not claim model training, author endorsement or proprietary access.
What do I receive?
A defined decision, structured options, key evidence and gaps, challenged assumptions, a recommendation with confidence and conditions, and a practical next-action record.
How is confidential information handled?
Only information relevant to the review should be supplied. Data handling, providers and retention are agreed before confidential material is processed. See the privacy notice.