AI readiness assessment
We evaluate your data, tools, team and processes to see how ready you are, and what to fix first. See AI Readiness Assessment.
AI Consultancy
AI strategy and transformation consulting
AI strategy consulting helps you decide where AI will create the most value, then plan how to get there. Alugence builds a clear, costed AI roadmap: we assess your readiness, prioritise use cases by value, effort and risk, and give you a sequenced plan your leadership team can back with confidence.
What is ai strategy and transformation consulting?
AI strategy consulting is advisory work that turns a broad ambition to "use AI" into a concrete, prioritised plan. It defines where AI fits your goals, which use cases to pursue first, what data and governance you need, and how to measure return. The output is an AI roadmap — not a slide deck, but a costed sequence of steps you can execute.
How we help
Use-case discovery & prioritisation
We identify candidate use cases across your business and score each on value, effort and risk, so you invest where payback is fastest.
AI roadmap
A sequenced, costed plan — quick wins first, foundations in parallel, bigger bets staged — with owners and success metrics.
Transformation leadership
Optional ongoing leadership to drive delivery, via a Fractional CAIO.
Our process
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Discover
— understand your goals, constraints and current state.
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Assess
— score readiness across data, tooling, team and momentum.
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Prioritise
— rank use cases on value/effort/risk.
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Roadmap
— produce a costed, sequenced plan with metrics.
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Enable
— support delivery and track ROI.
Outcomes and benefits
- A prioritised shortlist of AI use cases with expected value.
- A costed, board-ready AI roadmap and business case.
- Clear governance and data prerequisites, so delivery doesn't stall.
- A realistic view of payback — typically 6–12 months for efficiency use cases.
Who this is for
Leaders who know AI matters but need a defensible plan — SMEs and mid-market organisations starting out, and larger businesses aligning multiple teams behind one roadmap.
Frequently asked questions
Common questions, answered directly.
What is the difference between AI strategy and AI implementation?
AI strategy decides *what* to do and in what order; AI implementation *builds and integrates* it. Strategy produces a prioritised, costed roadmap; implementation turns the top items into working systems. Alugence does both, so your plan doesn't sit on a shelf — see AI Implementation.
How long does an AI strategy engagement take?
A focused AI strategy and roadmap typically takes two to four weeks, depending on the size of the business and number of use cases. Our two-week AI Readiness Sprint is the most common starting point and produces a scored use-case shortlist and written plan.
What is an AI roadmap?
An AI roadmap is a sequenced, costed plan for adopting AI — which use cases to pursue, in what order, with what data, governance and resources, and how success is measured. It turns a general ambition into an executable programme leadership can fund and track.
Do we need our data in order first?
Not necessarily to start, but data readiness shapes what's feasible early. Our assessment flags gaps and we sequence foundational data work alongside quick wins so momentum isn't lost. See AI Data Strategy.
Start the conversation
Find out what looking further could do for your business.
A 30-minute call. We'll tell you honestly where AI can move your numbers — and where it can't.