Find the opportunity.
Diagnose where the business is under pressure, where AI may help and which opportunity is worth leadership attention.

AI consulting services
I work directly with founders, CEOs and owners to audit the business, identify the right AI and digital opportunities, build a practical roadmap, support implementation and measure what improves.
What the work does
The Decision-to-Evidence method moves through three clear actions: find the right opportunity, design the change and make it useful inside the business.
Diagnose where the business is under pressure, where AI may help and which opportunity is worth leadership attention.
Turn the chosen opportunity into a clear operating plan: the work, people, decisions, safeguards and measures it needs.
Start with a useful test, learn from evidence and decide what should stop, improve or scale next.

What I do
Review the business inside and out: systems, data, market signals and customer sentiment, to find what works, what fails and where value is leaking.

What I do
Work directly with the founder and leadership team to rank the AI, digital marketing and operating moves that best support growth, savings and speed.

What I do
Translate the strategy into a company-specific roadmap the business can fund, own and measure, with clear milestones, safeguards and KPIs.

What I do
Launch the new workflows, train the team and support adoption through a focused implementation programme or ongoing advisory engagement.

What I do
Track revenue, cost, speed, quality and adoption. Improve what works, fix what does not and expand only when the evidence supports it.
Ways to work together
I lead every engagement personally with the founder, CEO, owner or accountable stakeholder. Internal teams and specialist partners join where implementation requires them.
AI readiness, ranked opportunities and one use case with a practical next step.
A 90-day AI roadmap with owners, safeguards, measures and a controlled first pilot.
Ongoing independent AI strategy, leadership challenge and decision support while the work moves.
A session that aligns leadership around AI opportunities, risks, owners and the first decision to make.
Choose the smallest engagement that can improve the decision: a diagnostic for one urgent question, a sprint for a selected use case, fractional advisory for ongoing leadership support or a workshop for alignment.
AI readiness, a ranked opportunity map, key risks and dependencies, and one recommended use case with a practical next step.
A roadmap with owners, safeguards, measures, milestones and a controlled pilot the team can start.
Yes. AJ can set the strategic direction and decision logic while your internal team, technology partner or agency delivers the work it is best placed to execute.
Both are possible. The scope can stop at the decision and roadmap, continue into activation and review, or combine AJ's advisory role with specialist execution partners.
Scope, timeline and fees are agreed before work begins and tied to the decision being solved. Focused work stays focused; larger engagements expand only when the evidence justifies it.
Start with the pressure
We will work backwards from the outcome, not forwards from a tool.
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