Our Services
Our signature method takes AI from a board-level ambition to something visible in the accounts. Six stages, built for businesses that need the value to be real, and for the investors who will eventually test it.
Six stages. Each one earns its keep on its own; together they take AI from a shortlist of use cases to value you can evidence.
Stage 1 · Clarity First
Outcome: A clear-eyed view of where AI would pay, and where it would waste a year.
Stage 2 · The Use Cases That Pay
Outcome: A costed roadmap tied to commercial outcomes, not a list of experiments.
Stage 3 · From Plan to Working Systems
Outcome: AI that is used daily and shows up in hours saved and margin gained.
Stage 4 · Confidence in Every Deal
Outcome: A technology and AI position that stands up to scrutiny from either side of the table.
Stage 5 · Making It Stick
Outcome: Performance improvements that persist after the consultants leave.
Stage 6 · Value You Can Bank
Outcome: The work turned into value that is visible in the numbers and defensible in the room.
Fractional Executive Leadership
Some businesses need the seniority of a technology executive but not the six-figure commitment. Our fractional CAIO, CTO, and CIO engagements give you experienced leadership a few days a month, accountable for outcomes, not hours.
Turn AI from noise into advantage.
Bring one in: When AI is a board or investor question and you want measurable outcomes rather than experiments.
Build the right thing, the right way.
Bring one in: When your product or platform is central to the business and technical decisions are getting expensive to get wrong.
Make the business run on modern systems.
Bring one in: When manual processes, disconnected systems, or weak data are quietly costing margin and slowing decisions.
Not sure which you need? If the pressure is to make AI real without undue risk, start with a CAIO. If your edge is what you build, start with a CTO. If it is how efficiently you operate, start with a CIO. Many businesses need a blend, which is exactly why fractional works.
Some are testing whether AI is worth the effort, others are already building, and some are preparing for investment or a sale. Four engagement models, all aligned with the framework.
Start here
For
Owners and investors who want to know where AI would actually pay
What you get
Operating-model review, data and systems health check, AI readiness scorecard, and a prioritised list of use cases with expected return
Outcome
Clarity on the two or three things worth doing, and the ones worth ignoring
Timeline
2 to 4 weeks
Investment
Accessible for exploration
Next
For
Leaders who have the appetite and want a costed, sequenced plan
What you get
Use cases prioritised by return and risk, tooling and architecture decisions, governance and data foundations, 90-day build plan
Outcome
A plan with owners, timelines, and numbers attached
Timeline
4 to 6 weeks
Investment
Planning engagement
Then
For
Businesses ready to put AI and automation into live workflows, or preparing for investment or a sale
What you get
Hands-on build and deployment, team adoption and training, AI and technology due diligence, integration support
Outcome
Working systems, measurable margin impact, and a technology position that survives diligence
Timeline
12 to 24 months
Investment
Performance-based options available
Ongoing
For
Businesses wanting senior ownership without a full-time hire, and investors rolling the same playbook across a portfolio
What you get
Fractional CAIO, CTO, or CIO leadership, plus repeatable diagnostics and value-creation programmes across multiple companies
Outcome
Sustained capability in-house, and a consistent standard applied company by company
Timeline
18 to 36 months
Investment
Retained, with portfolio-wide terms
Not sure which is right for you? That’s what the diagnostic is for.
Start with the AI Diagnostic: an operating-model review, a data and systems health check, and a prioritised list of use cases in 2 to 4 weeks.
Start Your AI Diagnostic