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Agents

Agents

Automation & Scale — production-grade AI agents that do real work across the lab, finance, processes, IT and HR. Pick one, prove it in weeks, scale what works.

  • AI
  • Automation
  • Governance

The journey

Three stages, in order

Each stage is gated by the one before it. Steps within a stage can run in parallel — the gate is the stage transition, not the step ordering.

  1. 1

    Find the agents that pay back fastest.

    Assess

    Rank your highest-value automation opportunities, test feasibility against your real systems, and design the human-in-the-loop controls before building. (Bespoke agent catalog + assessment land next; until then the AI readiness assessment + audit cover this rung.)

  2. 2

    One agent, on your data, in weeks.

    Pilot & Deploy

    Start with a fixed-scope jumpstart, then deploy a production-grade agent with the guardrails, oversight and audit trail a real operation needs.

  3. 3

    Run, monitor, improve — and add the next one.

    Care

    Managed operation and monitoring, continuous improvement and governance upkeep. The catalog is a roadmap, not a one-off.