Most organisations aren't ready for AI. We help you work out what to do about that.

A focused engagement that gets into your specific use cases, your data, and your regulatory exposure. You leave with a prioritised roadmap and a working prototype, not a slide deck.

Most AI readiness work is theatre

Most assessments start with a capability maturity model and end with a deck full of recommendations you can't act on. The gap between "here's what AI can do" and "here's what your organisation can actually do with it" gets skipped.

We start with the second question. Where does AI genuinely change something for you. What does your data actually look like. Where's the friction that would stop this from working. What would a real next step cost, and how would you know it had succeeded.

How it runs

A few weeks, not a few months. Structured around your context, not a generic template. We run three parallel streams and meet in the middle.

Use case discovery
We sit with your teams, look at your workflows, and identify where AI would genuinely shift outcomes. Not the full list of possibilities. The ones worth doing.
Data and technical readiness
We look at what you have, where it sits, what it would take to make it usable, and what the realistic integration points are. Data readiness is usually the constraint nobody's put a number on.
Regulatory and risk framing
We work out what applies to you, what's coming, and what a responsible path through it looks like. For regulated sectors, this sets the floor for what's buildable.
At the end of the engagement, we build a prototype. A working one, with real data where possible. It's the difference between reading a recommendation and seeing whether the thing actually works in your context.

What you leave with

1
A prioritised roadmap
What to do first, what to defer, what to deprioritise entirely. Each item sized against effort, risk, and likely return.
2
A working prototype
One of the prioritised use cases, built to validate the approach. You can extend it, throw it away, or hand it back to us to continue. Your call.
3
A regulatory and governance view
What applies to you, what you'll need to demonstrate, and what you'd need to build to be ready for the EU AI Act, sector regulation, or both.
4
A clear answer on readiness
If the honest answer is "not yet, and here's why", we'll tell you that.

Built for regulated industries

Beyond capability
Generic AI readiness work stops at the capability layer. For financial services, regulated health, or media businesses with specific data and content obligations, that's not enough.
Regulation built in
The EU AI Act high-risk framework. FCA expectations. Sector-specific data obligations. The things that determine whether an AI initiative gets off the ground in practice, not just in principle.
Our Work
Energy
Building automatic energy trading capabilities
Joining forces with YLD for its expertise, an energy provider built a wholesale trading platform that enables live trading with renewable energy assets.
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Energy
Green energy innovation through data science
YLD partnered with a UK green energy supplier to automate customer service, provide money-saving predictions using data science, boosting the teams' expertise.
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Keep Reading
Governance
AI Governance
Operational controls that hold up under regulatory inspection.
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Leadership
Fractional Chief AI Officer
Senior AI leadership embedded into your organisation on a part-time basis.
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Delivery
AI-Augmented Delivery
Senior teams building production systems with AI in the workflow.
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Work out what's real for your organisation
A few weeks, honest answers, a working prototype at the end.