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Service 03 · Agent deployment

Bots do the bots’ work. People do the people’s.

When a workflow already works, we hand that tool to a team of agents. They do the repetitive work and leave your team the decisions that need judgement.

On real workflowsHuman in the loopMeasurable savings

Who it’s for

  • Companies with a stable operational workflow and a lot of repetitive manual work.
  • Teams already using AI that see no real savings in hours or cost.
  • Organisations that need traceability and control over what the AI does.

What’s included

  • Identifying which tasks are rules and which need judgement.
  • Agents working on the ontology, inside or outside Foundry, connected via MCP.
  • A human in the loop wherever the decision requires it.
  • Evals built from real production traces to measure and improve the agents.
  • Frontier AI or deployed open-weight models, to keep sovereignty over your data.

How it works

  1. Base workflowWe start from a workflow that already works and measure it.
  2. AgentsWe design and deploy the agents on top of that workflow.
  3. ControlWe define what the agent decides and what a person decides.
  4. EvaluationWe measure the savings and quality with production traces.

What you get

Agents working in your operation, with savings measured in hours and cost, and traceability of every action.

Continue with

We know the problem because we lived it. We know the solution because we built it.

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