AI Transformation & Agentic AI
We help enterprises go beyond implementation. Unified data across every D365 product, machine learning models for prediction and optimisation, and custom Copilot agents that act on that intelligence inside daily workflows.
The Architecture
MCP is the protocol layer that turns Dynamics 365 from a collection of products into a unified surface that any AI agent can read from and act on. Six servers. One protocol. Every system.
Model Context Protocol · Architecture
One protocol. Every Dynamics system. Any AI agent.
Our AI transformation services
AI transformation is not a Copilot rollout. It's the layered work of connecting data across systems, training models that reflect how your business actually operates, and deploying agents that use both.
Microsoft Fabric as the unified data estate — OneLake, Link to Fabric from D365, lakehouse architecture, medallion zones, and semantic models. Data from CRM, F&O, Business Central, and external systems on one platform.
Bringing data out of every D365 product — Dataverse Link to Fabric for CRM, D365 F&O mirroring, BC data replication — plus Azure Data Factory pipelines for external sources. Clean, governed, query-ready.
Custom machine learning on Azure ML — churn prediction, lead scoring, demand forecasting, inventory optimisation, and anomaly detection. Models trained on your unified Fabric data, deployed where the business can act on them.
Structured rollouts of Microsoft 365 Copilot and Copilot for Sales, Service, and Finance. Use-case mapping, change management, governance design, and measurable productivity tracking.
Purpose-built agents on Copilot Studio — grounded in Dataverse, F&O, BC, Fabric, and external APIs. Single-turn assistants, multi-turn reasoners, autonomous agents with triggers and scheduled runs.
Agent orchestration via the Microsoft 365 Agents SDK, the Agent Framework, and the open A2A protocol. Agents that delegate to other agents, reason over Fabric data, and operate as a coordinated system — not a collection of chatbots.
The AI transformation journey
AI transformation is not a single project — it's a multi-year journey with distinct stages. Most enterprises try to skip the data foundation and go straight to agents. That's why most Copilot projects stall in pilot. We deliver the stages in the right order.
Clean D365 implementation across CRM, F&O, or BC — with disciplined data models, security, and integration contracts.
Microsoft Fabric as the single source of truth — D365 data mirrored via Link to Fabric, external data pipelined in.
Power BI on Fabric semantic models — cross-product reporting, executive dashboards, and self-service analytics.
Microsoft 365 Copilot and role-based Copilots (Sales, Service, Finance) rolled out with governance and change management.
Azure ML models for forecasting, scoring, and optimisation — trained on Fabric data, deployed into D365 business flows.
Purpose-built agents on Copilot Studio — grounded in your unified data, acting inside the apps your teams already use.
Agent-to-agent systems that coordinate across departments, platforms, and even third-party agents — the agentic AI endgame.
Whether you're planning the foundation or already scaling agents, we'll help you plot the next step — and deliver it with the discipline enterprise programmes need.
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