Services

AI agent development and advisory

AI agents designed, built, and deployed to automate complex workflows inside your systems. Production-grade, not prototypes. Audit trails, compliance logging, human-in-the-loop where required. Built on LLMs, integrated with your existing stack.

Most teams we talk to are stuck between prototype and production. The demo worked, the board is asking about AI strategy, and the path from there to something customers or staff rely on daily is unclear. That gap is exactly where we work.

The advisory and the build come from the same team. The architecture decisions we recommend are ones we have implemented in production, and if we move from roadmap to build, you keep working with the engineers who scoped it.

How we build

Production multi-agent systems built end-to-end: specialised agents routed through a shared provider registry, with every output schema-validated. Model choice is matched to task complexity and cost, agent invocations run as retryable background jobs, and cost is attributed per user. Multi-provider is the default, so we can match each model to where it actually performs from production experience rather than benchmarks.

Engagement shapes

AI strategy workshop (1 to 3 days): figure out what's worth building, and what isn't.
Roadmap and architecture (2 to 4 weeks): scope the work, design the system, de-risk the build.
Agent or RAG proof of concept (4 to 8 weeks): something real to learn from, built to graduate into production.
Production build (6 to 12 weeks): take it live, with the operational rigour above.
Ongoing AI advisor (a few hours a week): a senior AI voice inside your team.

Recent work

See the full range of services on the services overview.

Start with a call

Thirty minutes on where you are with AI and where you want it to be. If we can help, we will propose a shape. If the honest answer is that you do not need this yet, we will say so.

Book a call