Define your AI vision with a practical roadmap. We help UK businesses cut through the noise and focus on AI that actually delivers value.
Most AI strategies fail because they start with the technology, not the business. We take a different approach: understanding what you actually need before recommending what to build.
We work with leadership teams to create AI strategies that connect directly to business outcomes. No jargon-heavy slide decks that gather dust. Instead, you get a clear view of where AI fits in your organisation, what it will take to deliver, and what you can realistically expect it to change.
Our consultants have spent years helping businesses avoid expensive mistakes. We know which AI applications tend to work, which ones struggle, and why most pilot projects never make it to production.
We begin by understanding your business: your customers, your operations, your competitive pressures, and your existing technology. We talk to the people who do the work, not just the people who commission it.
From there, we identify opportunities where AI can make a genuine difference. We assess each one against practical criteria: technical feasibility, data readiness, likely return on investment, and fit with your team's capabilities.
The output is a prioritised roadmap. It tells you what to build first, what to defer, and what to avoid entirely. Each recommendation comes with realistic timelines, resource requirements, and success metrics.
Business outcomes and constraints. What you’re trying to improve, what “good” looks like, and what would make an initiative a non-starter.
Data readiness. What data exists today, how reliable it is, and what would need to change for AI to be dependable.
Systems and integration. Where AI needs to plug into your stack (and where manual workarounds will quietly kill adoption).
Risk and governance. Privacy, security, regulatory requirements, and what controls you’ll need for safe operation.
Operating model and skills. Who will own the AI capability, how it fits into teams, and what needs to be true for delivery and maintenance.
A strategy document you can actually use. Specifically:
A clear assessment of your AI readiness. Where you are today across data, technology, process, and skills.
A shortlist of high-value opportunities. Ranked by impact and feasibility, with the assumptions made explicit.
A phased implementation roadmap. What to do first, what depends on what, and what to defer or avoid.
Resourcing and delivery guidance. The roles and capabilities you’ll need to execute without stalling.
Risk assessment and mitigations. Technical, organisational, and market risks, plus practical steps to reduce them.
This service suits organisations at a crossroads with AI. Perhaps you have tried a few pilots that went nowhere. Perhaps competitors are making noise about AI and you need to understand what matters and what does not. Perhaps your board is asking questions you cannot yet answer.
We work best with businesses that want honest advice, not a sales pitch for more technology.
Most strategy projects run for four to eight weeks, depending on complexity. We can work with existing internal research or start from scratch. Either way, you will have a strategy that your team understands and believes in.
If you’re exploring options internally, use these questions to pressure-test your thinking before you commit to a direction.
“Which 3 AI use cases should we prioritise, and what assumptions are we making?”
“What data or integration gaps will block delivery, and how do we close them?”
“What governance and controls do we need for safe, compliant operation?”
Strategy defines where AI should fit and what to prioritise; feasibility validates one specific initiative in depth (data, approach, risks, delivery plan) before build.
No. We identify what’s “good enough” for the first use cases and what data improvements are worth doing (and which aren’t).
We’ll recommend an approach and selection criteria. If vendor choice matters, we’ll outline options and trade-offs based on your constraints and capabilities.
Access to stakeholders, time with the people closest to operations, and someone who can own decisions and unblock progress.
Clear priorities, a roadmap your team believes in, and a short list of next actions that are feasible and measurable.