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Give work a capable interface

AI Agents

Purpose-built agents that understand requests, use approved tools and escalate when judgement is needed.

Agents that do defined work

An AI agent can understand a request, retrieve approved information and use connected tools. The useful question is not whether it can act, but exactly what it should be authorised to do.

Common agent patterns

From conversation to confirmed action

  1. 01

    Understand the request and collect missing context.

  2. 02

    Retrieve information from approved sources with traceability.

  3. 03

    Prepare or perform only the actions permitted for that situation.

  4. 04

    Ask for approval or escalate when judgement is required.

  5. 05

    Confirm completion only after the connected system succeeds.

Safety is part of the design

We define tool permissions, data boundaries, evaluation cases, escalation paths and monitoring before release. Agents are tested on expected work, ambiguous requests and situations where they must refuse or ask for help.

Can an agent work across our existing systems?
Often, yes. The practical answer depends on the APIs, permissions and data quality available in those systems. We validate those constraints early.