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AI transformation

Copilots, agents and AI-infused applications.

The intelligence layer on the estate you run, scoped against a metric you already report.

Book a call What we build

What we build

Three ways intelligence enters the estate.

Foundation services

Copilots

Microsoft 365 Copilot extended with your data, plus Copilot Studio agents for finance, service and operations.

  • Declarative agents and connectors over your data
  • Copilot Studio topics, actions and knowledge under change control
  • Grounded in SharePoint, Dataverse and Fabric, access inherited from Entra ID, answer quality measured
  • Published into Microsoft 365 Copilot and Teams

Agent orchestration

Workflows that retrieve from Fabric, act in Dynamics 365 and Business Central, and route exceptions to a human.

  • Built in Microsoft Foundry: single agents for a named task, orchestrated agents for a process that spans systems
  • Actions through supported APIs under a least-privilege service identity
  • A human decision point wherever judgement or sign-off is needed
  • Evaluated against a baseline before go-live, drift-monitored after, governed by APEX

AI-infused applications

Intelligence inside the .NET, Power Platform and Dynamics applications you already have.

  • Document understanding where documents arrive
  • Prediction and scoring in existing screens
  • Natural-language interfaces with the same authorisation checks
  • Same codebase, same identity model, same support contract

Named outcomes

Six outcomes, each measured on your numbers.

  • Finance close acceleration

    Reconciliation, variance explanation and close orchestration.

    MetricDays to close.

  • Order-to-cash and AP automation

    Capture, matching and exception routing, human decision point retained.

    MetricTouchless invoice rate and DSO.

  • Document and contract intelligence

    Extraction, classification and obligation tracking at volume.

    MetricReview hours per document and missed obligations. Illustrative: 40% review-time target, per estate.

  • Service and support deflection

    Grounded retrieval over product, policy and case history.

    MetricContainment and first-contact resolution, on the service desk's dashboard.

  • Engineering and code modernisation

    Claude Code on legacy archaeology, refactoring and tests across .NET, Dynamics and SQL.

    MetricTest coverage gained and migration effort against the assessment. Illustrative: labour saved set per estate.

  • Enterprise knowledge retrieval

    Governed retrieval across SharePoint, Dataverse, Fabric and line-of-business systems.

    MetricTime to answer and accuracy on a human-graded question set.

Model-neutral by design

Any model, inside your tenant.

Foundry, Azure OpenAI, Claude or open-source, chosen per task, inside your tenant, drawing down your Azure commitment.

  • Microsoft Foundry
  • Azure OpenAI
  • Anthropic Claude
  • Open-source models
  • Copilot Studio
  • LangChain
  • Semantic Kernel
How model choice works

  • How we scope

    Four things agreed before we start.

    A baseline you already measure, a target, an evaluation method and a stop condition, in writing first.

    Three ways in: a first grounded use case, an agent programme across business units, or APEX governance first.

    How we scope

  • Governed by APEX

    Every agent governed.

    APEX sits on the path to production for everything here: an audit request is a query, not a project.

    See APEX

Let's connect

Bring us the problem AI keeps almost solving.

A 30-minute call with the people who'd do the work. We'll pressure-test the opportunity, show you what good looks like, and tell you plainly whether it's worth building.

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