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 call

When 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.

Still not sure? We built the risk out of the decision

Share a specific module or feature you’d like developed, and try our service risk-free for one week to experience how we work before signing a final contract

Money-back Guarantee

We’re confident in our developers and delivery quality. If you’re not satisfied with the latest development iteration, we’ll provide a full refund for that iteration.

Flexible Contracts

We provide adaptable contracts, allowing you to adjust your team size as your project scales and matures.

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.

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.

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.

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.