AI Transformation & Agentic AI
We help you turn Dynamics 365 into an intelligent operating layer.
We help your business 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.
Our AI transformation services
Three layers.
One AI-powered business.
AI transformation is not a Copilot rollout. It's the layered work of connecting data across your systems, training models that reflect how your business actually operates, and deploying agents that use both.
Enterprise data platform
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.
Cross-product integration
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.
ML models for the enterprise
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.
Microsoft Copilot adoption
Structured rollouts of Microsoft 365 Copilot and Copilot for Sales, Service, and Finance. Use-case mapping, change management, governance design, and measurable productivity tracking.
Copilot Studio agents
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.
Multi-agent systems
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
Seven stages, from foundation to autonomy.
Most businesses land somewhere in the middle of these seven stages, not at the start. Tell us which one you're actually on, and we'll help you plan the next step — not the whole roadmap at once.
- 01
Stage 01 · Dynamics 365 foundation
Clean D365 implementation across CRM, F&O, or BC — with disciplined data models, security, and integration contracts.
- 02
Stage 02 · Unified data platform
Microsoft Fabric as the single source of truth — D365 data mirrored via Link to Fabric, external data pipelined in.
- 03
Stage 03 · Analytics & reporting
Power BI on Fabric semantic models — cross-product reporting, executive dashboards, and self-service analytics.
- 04
Stage 04 · Copilot adoption
Microsoft 365 Copilot and role-based Copilots (Sales, Service, Finance) rolled out with governance and change management.
- 05
Stage 05 · Machine learning models
Azure ML models for forecasting, scoring, and optimisation — trained on Fabric data, deployed into D365 business flows.
- 06
Stage 06 · Custom Copilot agents
Purpose-built agents on Copilot Studio — grounded in your unified data, acting inside the apps your teams already use.
- 07
Stage 07 · Multi-agent orchestration
Agent-to-agent systems that coordinate across departments, platforms, and even third-party agents — the agentic AI endgame.
From raw data to autonomous agents.
Unified data, machine learning models, and Copilot agents built on the same Fabric foundation.
Where are you in your AI journey?
There's no shortcut past the data foundation, but there is a fastest honest path through it. Bring us your current stage and we'll map out what comes next.
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