AI Agents
AI agents do real work without being micromanaged — they read context, call your tools, and complete multi-step tasks end to end. We design, build and monitor agents that are reliable enough to trust in production, not just impressive in a demo.
Who it's for
Teams drowning in repetitive knowledge work, or anyone who has hit the ceiling of what a single chatbot prompt can do.
Use cases
Customer triage
An agent reads incoming messages, pulls order and account data, answers the easy 80%, and escalates the rest with full context.
Research & reporting
Gather data from your systems and the web, synthesise it, and produce a structured report on a schedule.
Back-office automation
Reconcile records, fill forms, and move data between tools that were never meant to talk to each other.
What's included
- LLM integration (GPT-4, Claude)
- Tool use & function calling
- Memory management
- Monitoring & observability
- Security & compliance
FAQ
How is this different from a chatbot?
A chatbot answers; an agent acts. It can call your APIs, use tools, remember context across steps, and finish a task — with guardrails and logging so you can see exactly what it did.
Which models do you use?
Whatever fits the job — typically Claude or GPT-class models — chosen for accuracy, cost and data-handling requirements, not hype.
Is my data safe?
Yes. We scope each agent's access tightly, log its actions, and choose providers and configurations that meet your data and GDPR requirements.