Intelligence · AI agents: building, training and data

AI Agent Training & Tuning

We train your AI agents on your tasks, documents and real examples, weight how they use each source, tool and rule, and customise their behaviour, then test them on your real work before they go live.

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What we deliver

  • Agents trained on your tasks, documents and examples
  • Weighting of sources, tools, rules and confidence
  • Custom behaviour, tone and approval steps
  • Evaluation sets and quality reports
  • Ongoing monitoring and retraining

A typical project approach

  1. Define the agent's tasks and how success is measured
  2. Gather your documents, examples and decisions
  3. Train the agent and weight its sources, tools and rules
  4. Evaluate on real tasks, deploy and keep improving

What to include in your enquiry

  • Who will use the solution and how they work today.
  • The process, systems and data involved.
  • The result you want and your preferred timeline.

Agree the scope first

We agree scope, technology, cost, delivery and support with you in a written proposal before work starts.

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NEXT STEP

Let’s build what’s next.

Tell us about your idea: an app, an API, an AI agent or a whole platform. We reply with questions or a written proposal.