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Microsoft Copilot and AI

Copilot Studio

Purpose-built conversational agents grounded on approved content, with explicit boundaries and escalation.

Technologies

  • Copilot Studio
  • Dataverse
  • Power Automate
  • Microsoft Teams

A good agent is defined as much by what it refuses as by what it answers. We design the knowledge boundary, the action boundary and the confidence boundary explicitly, then build against an evaluation set so quality is measured rather than assumed.

Business outcomes

Consistent answers

One grounded source of truth replaces repeated manual responses.

Safe escalation

Questions outside scope route to a person rather than being improvised.

Measurable quality

An evaluation set with known correct answers turns quality into a number.

Capabilities

Agent design

Scope, grounding sources, answer format, citation rules and escalation matrix.

Knowledge grounding

Curated content with assigned owners and permission-trimmed retrieval.

Tools and actions

Connected systems for lookups and transactions, with authorisation checks.

Evaluation and tuning

Known-answer test sets run after every change to catch regressions.

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 Copilot Studio?

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