We assess where AI creates material value, define realistic target architectures, and build a phased delivery roadmap with measurable outcomes — not a slide deck you’ll never use.
Most AI strategies fail because they start with the technology ("we should use AI") instead of the commercial problem ("we are losing £X because of Y manual process"). The result is pilot purgatory — a graveyard of demos that never reached production because nobody tied them to business outcomes.
Boards asking "what’s our AI strategy?" and getting vague, tool-centric answers
Engineering teams running unsanctioned AI experiments with no governance or evaluation
Previous engagements with AI consultants that produced impressive strategy documents but no production systems
Difficulty distinguishing AI hype from genuine commercial opportunity
Fear of falling behind competitors who are moving faster
Systematic evaluation of where AI creates measurable value in your business, prioritised by ROI, feasibility, and risk.
What the technical landscape looks like when your AI strategy is fully realised, including model selection, integration patterns, and data requirements.
Sequenced delivery plan with clear milestones, dependencies, resource requirements, and decision points.
Realistic projections for build cost, LLM operating cost, and expected returns.
Where to use off-the-shelf AI tools, where to customise, and where to build from scratch.
How to manage AI risk, quality, and compliance as you scale.
What skills your team has, what gaps exist, and how to close them.
Total: 3–4 weeks for a complete AI strategy engagement.
Interviews with leadership, engineering, operations, and compliance to understand objectives, constraints, and current state.
Identify and prioritise AI use cases against commercial impact, technical feasibility, data readiness, and regulatory risk.
Define target state, phased plan, cost model, and governance approach.
Documented strategy, roadmap, and architecture. Presented to leadership with clear next steps.
Companies that know AI matters but haven’t figured out where to start
Businesses with scattered AI experiments that need strategic direction
Leadership teams preparing for board conversations or investment rounds that require a credible AI narrative
Companies that have been burned by previous AI strategy engagements that produced documents but no outcomes
Regulated businesses that need AI strategy to account for compliance from the start
Let’s start with a conversation about where AI creates real value in your business — not a generic pitch about what AI can do.