Dynamics 365 implementation servicesenhanced with AI and Copilot capabilities
We design and implement Dynamics 365 solutions enhanced with Microsoft Copilot and AI capabilities
Book a discovery callWhen organisations typically engage us
Most clients come to us when they want to modernise Dynamics 365 or extend it with AI capabilities, but are unsure where AI actually adds value.
- Customer and operational data is fragmented across systems
- Reporting and forecasting rely on manual processes
- Existing Dynamics 365 systems are underutilised or inconsistently adopted
- AI initiatives are not connected to core business systems
- Workflow automation exists but is not standardised
What we deliver
We implement Dynamics 365 as the core system of record, and extend it with AI and Copilot capabilities where appropriate.
Core Dynamics 365 Implementation
We align Dynamics 365 with sales, finance, operations, and service.
- Sales pipeline and opportunity management
- Finance and operational data modelling
- Customer service case management
- System integration and data consistency
- Role-based access control
AI Insights & Decision Support
We enable Copilot and AI on Dynamics 365 data.
- Sales forecasting and pipeline insights
- Case and customer summarisation
- Natural language data access
- Automated reporting and insights
- Workflow recommendations
Dynamics 365 Extension
We extend Dynamics 365 with Microsoft tools.
- Power Automate workflows
- Power Apps development
- Power BI reporting
- ERP & system integration
- Azure APIs and data layer
Enterprise Integration
We integrate Dynamics 365 with enterprise systems.
- Microsoft 365 (Teams, Outlook, SharePoint)
- Azure services
- ERP systems (SAP, Oracle, Xero, MYOB)
- E-commerce platforms
- Security and governance
Typical outcomes
Outcomes depend on system maturity, data quality, and adoption levels.
Sales organisations
Improved pipeline visibility and more consistent forecasting through structured CRM data and AI-assisted insights.
Finance teams
Reduced manual reporting effort through automated data aggregation and AI-generated summaries.
Service organisations
Faster case resolution through AI-assisted knowledge access and case summarisation.
Operational teams
Improved process efficiency through automation of repetitive workflows and approvals.
How we deliver
We follow a structured delivery approach designed to reduce risk and ensure AI is applied in meaningful areas.
Discovery & system assessment
We analyse existing Dynamics 365 setup, data quality, and business workflows.
AI opportunity mapping
We identify where AI adds measurable value versus where traditional automation is sufficient.
Solution architecture
We define Dynamics 365 configuration, integration layers, and AI enablement points.
Implementation in phases
We deliver Dynamics 365 core first, then progressively introduce AI capabilities.
Validation & adoption
Business users validate workflows, reporting, and AI outputs before full rollout.
Continuous optimisation
We refine workflows, data models, and AI usage based on real-world usage.
FAQ
How long does a Dynamics 365 implementation take?
A focused single-module deployment (e.g. D365 Sales for a mid-sized team) typically goes live in 6–10 weeks. Multi-module implementations with ERP integration, data migration, and custom development usually run 4–8 months. We phase delivery so you see working functionality early, and we confirm a realistic timeline after discovery — before any commitment.
We already have Dynamics 365. Can you improve what we have?
Yes — a significant portion of our work is org health reviews, performance remediation, and capability expansion for existing D365 customers. We audit your current configuration, identify what is working against you (overcustomised workflows, data quality issues, adoption gaps), and deliver a prioritised improvement plan. You do not need to start from scratch.
Can you integrate Dynamics 365 with our existing ERP or third-party systems?
Integration is a core part of most of our engagements. We have built connections to SAP, Oracle, NetSuite, Xero, MYOB, Salesforce, Shopify, Magento, and a wide range of custom-built platforms — using native Dataverse connectors, Power Automate, Azure Integration Services, and custom API middleware. We produce a full integration map during solution design so you understand exactly how data will flow before build begins.
How do you handle data migration from our legacy system?
We follow a structured extract → profile → cleanse → map → load → validate methodology. Before any data moves, we assess your source data for quality issues, duplicates, and mapping gaps. Migration runs in a sandbox environment first — you review and sign off before production. Source data is retained until you are fully satisfied with the migrated result.