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Microsoft Copilot and AI

AI Agents

Autonomous and assisted agents that complete multi-step work with human review at the points that matter.

Technologies

  • Copilot Studio
  • Azure AI Foundry
  • Power Automate
  • Dataverse

Agents become useful when they handle a complete task rather than a single question. That requires careful thought about which steps may run unattended, which need approval, and what happens when the agent is uncertain.

Business outcomes

Complete tasks, not fragments

Multi-step work handled end to end, with review at defined points.

Auditable decisions

Every automated action logged with its inputs and confidence.

Controlled autonomy

The boundary between unattended and approved steps is explicit and adjustable.

Capabilities

Task decomposition

Mapping the work into steps, and deciding autonomy level for each.

Orchestration design

Sequencing, retries, error handling and human approval gates.

Guardrails

Rule-based bypasses for sensitive circumstances, never left to model judgement.

Observability

Logging, tracing and weekly review of edge cases.

How we deliver it

  1. Assess

    Evaluate data readiness, permissions, licensing and candidate scenarios against value and feasibility.

  2. Prepare

    Curate content, review permissions, assign ownership and establish the governance position.

  3. Pilot

    Build and evaluate with a cohort whose daily work matches the scenarios, measured against a baseline.

  4. Scale

    Extend to further scenarios with champions, enablement and a standing content backlog.

  5. Operate

    Monitor quality, review gaps weekly and maintain grounding sources on a fixed cadence.

Next step

Considering AI Agents?

We will give you an honest view of the effort involved, the prerequisites and the risks, before anyone signs anything.

Talk to an expert Solutions