AI-Readiness Diagnostic

Find the structural problem before you redesign the business.

The assessment tells you where the architecture is under pressure.

The Diagnostic determines why.

I examine how AI is changing the economics of your market, where customer value is moving, and where your current business model is becoming misaligned.

Current model

Emerging AI-native model

Customer value

Offer

Pricing

Delivery

Decisions

Operating architecture

Discuss your diagnostic →Take the free assessment first

The conversation confirms scope and sponsor. Nothing is purchased on this site; engagements begin with an agreed statement of work.

Self-report vs. evidence

The free assessment reflects your answers. The diagnostic examines your business.

Free self-assessment

Twelve questions, about four minutes. A directional profile and one area worth investigating, based entirely on what you report. It does not verify your economics.

Take the free assessment →

Paid diagnostic

Two weeks of structured work with your data, your leadership interviews, and a focused external read. Findings are evidenced, uncertainties are named, and the output is a decision agenda you can act on with or without further OM work.

Who it is for

A CEO, founder, or business-unit leader with a live concern about customer relevance, pricing pressure, delivery economics, or the returns from current AI initiatives — and a consequential investment or organisational decision ahead that deserves a clearer diagnosis first.

How it works

Fit conversation

A short call to confirm the boundary, the sponsor, and whether a diagnostic is the right instrument. It is not a free bespoke diagnostic.

Kickoff

45 minutes to fix the boundary, the decision in question, and the evidence available.

Evidence

Interviews, review of the agreed source material, and a focused look at competing or substitute offers.

Readout

A 60-minute leadership session on findings, uncertainties, and the decision agenda, followed by one correction round.

Two weeks from receipt of the agreed inputs and interview availability. Delays in client inputs move the schedule.

What you receive

Current-State Business Model Read

Offer, customer value, pricing, delivery, and the principal constraints as they stand today.

Exposure and Opportunity Map

Up to three priorities with the evidence behind them, the assumptions they rest on, and the questions still open.

Economic Baseline

Relevant existing measures and directional scenarios where the inputs support them. Missing data is named, not estimated away.

Preserve / Decommission / Re-author Hypotheses

Initial recommendations for the agreed business boundary.

Executive Decision Agenda

The decisions to make, who needs to be in the room, and a recommendation to proceed, defer, investigate further, or stop.

What we examine

Whether the customer outcome and the offer remain relevant.
How the business creates, delivers, and captures value.
How machine capability and human judgment are currently allocated.
Whether feedback improves the next cycle of work.
Pricing, cost-to-serve, and AI costs, to the extent the data supports.
Ownership, decision rights, and organisational constraints around the priority issue.

These are lenses applied inside the agreed boundary — not six separate audits.

Scope

One business unit or one coherent offer, and its delivery model.
One executive sponsor and up to three stakeholder interviews, up to 45 minutes each.
A 45-minute kickoff to define the boundary, the decision, and the available evidence.
Review of up to five agreed existing source items: offer and pricing sheet, unit-level P&L, delivery map, current AI initiative list, customer feedback summary.
A focused desk review of up to three relevant competitors or substitutes, using public information.
A 60-minute leadership readout.
One consolidated factual-correction round within five business days of the readout.

Not included

Primary customer research and full market studies.
Technical, security, or compliance audits, and data cleanup.
A fully specified future operating model or implementation work.
A company-wide transformation roadmap.
A quantified ROI commitment.

The readout explains the findings. Cross-functional negotiation of the future model belongs in a leadership workshop or a transformation partnership.

Example of what you'll receive

Sample company

Current model

Expert-led service↓
Human qualification↓
Custom analysis↓
Expert delivery↓
Hourly/project pricing

What AI changes

AI can now:

— qualify demand;
— conduct first-level analysis;
— generate initial recommendations;
— automate significant portions of delivery.

Target

AI-enabled delivery
Experts focused on judgment
Higher capacity
Revenue increasingly decoupled from labor

From

Human-heavy delivery · High expert dependency · Limited scalability · Revenue tied to labor

OM architecture decisions

Preserve

Trusted expert judgment

High-value human expertise remains a source of differentiation.

Decommission

Manual first-level analysis

AI can perform much of this work faster and at lower marginal cost.

Re-author

Expert role

Experts move from producing every output to supervising, interpreting and handling high-value decisions.

Re-author

Pricing

Move away from pricing based primarily on hours toward value, access, outcomes or packaged IP.

Primary constraint

The current pricing model captures the economics of the old delivery model.

Economic implication

If delivery effort falls but pricing remains tied to hours, AI creates cost savings but not a stronger business model.

First 90 days

1. Redesign qualification
Move first-level qualification from humans to AI.
2. Redesign delivery
Separate automated production from high-value expert judgment.
3. Test pricing
Build one offer where pricing is no longer directly tied to delivery hours.
4. Define decision roles
Specify what AI can execute, what humans review and what remains executive judgment.

Illustrative example — your diagnostic is built around your business.

What you leave with

1. Current Business Map
How value, delivery, pricing, people and AI work today.
2. AI Impact Map
Where AI is changing customer value, cost, capacity and competitive advantage.
3. Preserve / Decommission / Re-author Map
A clear decision about what stays, what disappears and what must be redesigned.
4. Target Business Model
A picture of how the business should work in an AI-native environment.
5. Human + AI Operating Model
What people should own, what AI should handle and where human judgment remains essential.
6. Key Economic Implications
Where the new model can change capacity, margins, pricing or scalability.
7. Critical Transformation Gaps
The leadership, culture, systems or decision-model constraints that could prevent implementation.
8. 90-Day Priority Map
The few moves that should happen first.

This is not an AI implementation plan. It is a business architecture decision tool.

The diagnostic is designed for leaders who need to decide how the company itself should change before committing to broader transformation.

Scope and completion

Scope and fee are agreed after a conversation. Two weeks.

Delivery is complete after the readout and the agreed correction round. Leadership understands the priority problem, its evidence and uncertainties, and the next decision. Continuing with OM is optional — an explicit recommendation to defer or stop is a valid outcome.

Discuss your diagnostic →Leadership workshop Transformation partnership