AI Development

LLM & Model Integration

ChatGPT, Claude, CoPilot and other LLM’s mean powerful AI features can be accessible to every product, helping to drive user delight and creating experiences and results beyond what was possible before.

To ensure your users have the best experience we handle the full lifecycle, from selecting the right model for each job, to grounding responses in your own data to ensure answers are accurate and relevant, through to engineering the pipelines, prompts and fallbacks that keep quality consistent in production.

Performance Management

Every AI feature is a set of trade-offs between capability, speed and cost. Get the architecture wrong and you end up with features that are too slow for users, too expensive to run, or both.

We design AI architectures around real-world use, combining on-device and cloud processing, using caching and routing to control latency and cost, and building infrastructure that scales with demand. You get a clear view of each feature’s running costs and confidence that performance will hold as usage grows.

Agentic AI

Integrated AI agents can multiply the output of teams and help them provide levels of service not previously possible.

From initial AI Discovery sessions to job decompositions we help you design and build agentic systems around the workflows where they’ll deliver the biggest return to your business.

That means giving agents the tools and data access they need to be useful. Whether you need include RAG flows, integrate to tools through MCP we’re here to make sure that your agents have the context the need to perform and are well orchestrated. Above all we work to make sure the boundaries are clear and safe with humans in the loop where it matters.

Accuracy, Guardrails & Trust

AI features are only valuable if they can be trusted to perform consistently. We build evaluation into every AI project from day one: testing model outputs systematically against real cases, measuring accuracy before and after every change, and catching drift and regressions before the business feels the impact.

From Pilot to Production

As with everything we do, our focus is on delivering value, not just demonstrations that excite. We focus on business objectives, ensuring value before progressing to production. We work incrementally, proving value in a focused pilot, before moving to scale out the solution to production.

We measure every step against business objectives. As with all features if an AI feature doesn’t deliver value, you’ll know and we’ll work with you to enhance and improve performance to ensure results are delivered with confidence.