AI Agents
Agents that do real work, reliably, not just in a demo.
AI agents can research, take actions, and automate multi-step work. The hard part is making them reliable in production. We design agents with the right tools, guardrails and evaluation so they hold up against real-world inputs.
What's included
- Agent architecture: tools, memory, planning and orchestration
- Guardrails, evaluation and human-in-the-loop where it matters
- Integrations with your systems, data and APIs
- Observability so you can see what the agent actually did
- Cost and latency tuning for sustainable operation
What you get
- Agents that handle real tasks instead of impressive demos
- Confidence the system behaves safely on edge cases
- Manual, repetitive work handed off to software
Common questions
How do you stop an agent doing something wrong?+
Scoped permissions, validation, evaluation against test cases, and human approval on high-stakes actions. Reliability is the whole job.
Which models and frameworks do you use?+
Whatever fits the problem and your constraints, we're model- and vendor-agnostic and optimise for reliability and cost.
Get in touch
Ready to talk about ai agents?
Send a short note about what you're trying to do. We'll reply with honest, practical next steps.