AI Consulting & Strategy
Your board wants an AI strategy but you are not sure where to start, what is realistic, or how to avoid expensive mistakes. We bring a PhD in AI and Machine Learning combined with decades of practical technology leadership to help you move from interest to implementation.
AI Consulting & Strategy Services
PhD-led AI consulting across five key areas.
Leadership round-table assessing readiness across five dimensions.
Department-by-department mapping of AI opportunities with ROI scoring.
Four stages from awareness to production, de-risking AI adoption.
Staged investment framing with CFO-friendly decision gates.
Practical AI solutions framed for specific department heads.
AI Readiness Workshop
A leadership round-table that assesses your organisation's readiness for AI across five dimensions: strategic alignment, data readiness, technology stack, skills and culture, and process maturity. You leave with a clear picture of where you are and what needs to happen first.
This is not a sales pitch for AI tools. It is an honest assessment of whether AI will deliver value for your specific business, and where.
AI Discovery & Opportunity Assessment
Department-by-department mapping of AI opportunities with ROI scoring. We work across your organisation to identify and prioritise 3-5 use cases that will deliver measurable value, ranked by impact, feasibility and risk.
The output is a prioritised roadmap, not a wishlist. Each opportunity comes with a clear business case, implementation complexity estimate and recommended approach.
AI Pilot Implementation
Four stages from awareness to production: awareness (what AI can do for you), discovery (which use cases matter), MVP (prove value quickly), and operationalisation (make it reliable and scalable).
We de-risk AI adoption by proving value at each stage before committing to the next. If a pilot does not deliver, we stop and redirect — you never invest more than you need to.
Progressive AI Investment Planning
Staged investment framing designed for CFO-friendly decision gates: prove (small budget, validate hypothesis), scale (expand what works), accelerate (invest in capability), dominate (competitive differentiation).
Each stage has clear entry criteria, exit criteria and kill criteria. This gives your board confidence that AI investment is controlled, measurable and reversible at every step.
AI by Department
We also offer practical AI solutions framed for specific departments — Sales, Marketing, Customer Experience, HR, IT, and Corporate Leadership. Each vertical speaks the language of the department head, not the technology team.
Start your AI journey
Tell us where you are with AI and we'll recommend the right starting point.