Redefining AI strategy for business.

AI moves too fast for traditional strategies; it demands a fast-track, fluid approach that accelerates value delivery.

AI strategy that’s practical, not prescriptive.

AI can transform your business, but without the right strategy, you'll only ever scratch the surface of what's possible. Built on years of deep industry expertise and cutting-edge technology, our approach to AI strategy is fast, adaptive, and practical. No laborious data engineering exercises. No rigid five-year plan.

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"Aiimi has given us the strongest possible footing to start our AI journey."

Nathan Marsh, Digital Innovation Lead

Bespoke AI strategy, aligned to your objectives.

For some organisations, the focus of AI strategy might be on ethics, especially for those in the public sector or dealing with sensitive data. For others, it might be more about scaling internal AI capability or getting a grip on fragmented AI initiatives that are already underway.

Our AI consultants work with each customer to shape a strategy and roadmap that fits their unique context, priorities, and readiness, to cover three core areas.

AI Vision

We start by working with senior stakeholders to define a clear vision for AI. What role should it play? How does it connect to goals, market pressures, and competitor activity? Which teams and leaders does this matters to most, and what part will they play?

Principles

We then agree on a set of principles for AI adoption - things like responsibility, transparency, and governance. These act as a shared compass, helping teams make consistent decisions about how AI should be used in practice as the organisation evolves.

Game plan

Finally, we shape a practical plan of attack for embedding AI. What’s in scope? What’s not? Where do we start, and who needs to be involved? This enables us to create a focused view of what happens next, tailored to where the organisation is right now and where it needs to get to.

Building blocks for lasting AI impact.

From AI literacy to iterative development – enablement and agility are key to our methodology. We know the best places to start, how to release value quickly, and how to set your people up for sustainable success.

Abstract design with interconnected nodes labeled "AI Deployment," "AI at Scale," and "Roadmap," featuring icons and gradient backgrounds.

A clear AI roadmap, grounded in business needs.

Our strategic framework uncovers the areas where AI can help your people get to the answers they need faster, smarter. Then, assessing use cases by four key dimensions, we can build an AI roadmap with clarity, ready to experiment and scale.

Value.

AI should unlock better decisions, productivity gains, cost reduction, safety improvements, or something new. We plan how to measure impact and benchmark the current state, so you can see the difference AI makes.

Data.

AI needs good data to succeed. We work out whether the right data exists to make this use case fly - and what kind of data governance work might be needed.

Risk.

All AI comes with considerations - regulatory, compliance, or ethical. Risk could mean physical safety, IP exposure, or brand damage. We consider what guardrails you'd need to progress an AI use case.

Feasibility & Cost.

What would it actually take to go from AI prototype to AI that thousands of users can adopt safely and securely? We stay grounded in AI that's going to make an impact.

AI strategies that are relied on by
the world's best-run companies.

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Delivering a practical AI & Automation roadmap to the UK Government’s Insolvency Service.

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Meet the
Aiimi experts.

We’re responsive and able to source the right team rapidly, so you get the A team every time – whether you’re facing an unprecedented event or need to jump on an opportunity.

Get in touch with our Services team.