AI governance you can actually operate

The EU AI Act enters force in August 2026. Most organisations have the policies. Few have built the controls to prove those policies are working. That’s the work we do.

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What’s actually happening

Europe

The EU AI Act is the most concrete piece of AI regulation in force. High-risk system obligations come into effect August 2026. Penalties run up to EUR35M or 7% of global turnover. For firms operating across EU member states, the expectations won't vary much, but the evidence needs to stand up everywhere.

United Kingdom

The FCA is already applying AI principles to financial services. A UK AI Bill is expected late 2026. The direction of travel is less prescriptive than the EU but the operational expectations for regulated firms are converging.

United States

No federal AI law yet. A growing patchwork of state regulations creates its own compliance burden, particularly for any business holding customer data across multiple states.

Policy is the easy part

Most AI governance offerings stop at policy. A framework document, a risk register template, a training programme. All necessary. None of it operational.

What's harder, and what actually determines whether governance holds up under regulatory scrutiny, is what lives in the systems. Model monitoring. Decision logging. Audit trails. Explainability tooling. The mechanisms that let you answer specific questions about specific decisions when a regulator or a client asks.

That's where an engineering consultancy has an advantage over an advisory-only one. Governance that works is governance that's built.

What we build

Framework and policy

The documents you need, grounded in your specific regulatory exposure rather than a generic template. We work with your legal team on this, not in place of them.

Controls and architecture

The systems, logging, and monitoring that make the policy real. Designed to be inspected by a regulator, not just stored on a SharePoint.

Risk assessment for existing AI use

What you're already running, where the exposure sits, what to remediate first. Most clients discover they have more AI in production than they realised.

Ongoing operation

Governance isn't a project. It's a capability your organisation needs to run. We help you build it, and we help your people operate it after we leave.

Fintech, in particular

Two regulatory layers

Financial services clients carry two layers of obligation. The horizontal AI regulation that applies to everyone, and the sector-specific expectations from the FCA and its equivalents in other jurisdictions.

Built for both

Most of our governance work sits here. We know what the FCA is looking for, what the EU AI Act means for firms already operating under DORA, and how to build governance that satisfies both at once without doubling the operational burden.

We do this across sectors. Fintech is where the pressure is highest, and where our pattern library runs deepest.

How engagements run

Most clients come to us in one of two situations. Either way, the engagement is grounded in your specific exposure. We don't sell a generic framework.

Urgent

A specific regulatory deadline. A board conversation that's surfaced a gap. A customer asking questions that need answers this quarter.

We scope tight, work fast, and get to something defensible quickly. Smaller team, higher intensity, clear end point.

Strategic

A longer view. Getting ahead of what's coming. Building a governance capability before the pressure arrives.

Different pace, same shape of work. Usually runs alongside other AI workstreams rather than in isolation.

Same people, wider scope

Clients who know us for engineering and design are now asking us to help with AI governance. It's the same standard of work, applied to a newer problem. Our governance engagements draw on the same engineering teams that build your production systems, which is why the controls we design actually work when they go in.

If you've worked with us before, you'll recognise the engagement. Same people in the room. Wider scope of what we help with.

Our Work

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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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