Process that reflects reality
Stages and criteria that match how the organisation actually sells or serves, so the system supports the work instead of documenting it.
Business applications that match how you work
Dynamics 365
Sales, service, field operations and customer data on a platform your teams will use, with the data quality that makes it dependable.
CRM adoption stalls when the system records administration rather than supporting the work. We map the process with the people who run it, implement a small number of meaningful stages with explicit criteria, and design the data quality controls before migration rather than after the first reporting dispute. The measure of success is whether the sales or service team would object to losing it.
Business outcomes
What this family is for
Dependable customer data
Duplicate detection, ownership and progressive capture designed in, so reporting can be trusted.
Faster, more consistent service
Routing, service levels and knowledge that reduce handoffs and repeat contact.
Reporting people believe
Agreed definitions and one model, so meetings start with decisions rather than reconciliation.
Capabilities
What we actually do in this area
Sales process design and implementation
Qualification stages, forecast categories, and a focused seller experience.
Service and contact centre
Case management, routing, service levels, knowledge and agent assistance.
Field service
Work orders, scheduling, asset history and mobile capture including offline.
Customer data and insights
Unified profiles, segmentation and journey orchestration.
CRM modernisation
Migration from legacy platforms with process redesign rather than lift and shift.
Dataverse solution design
Data model, security roles, business rules and application lifecycle management.
Delivery approach
How an engagement in this family runs
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Discover
Process mapping with the people who use the system, separating genuine requirements from inherited habit.
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Design
Data model, process stages, security model and integration approach, with decisions recorded.
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Configure
Configuration-first build in reviewable increments.
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Migrate
Data cleansing with the business, then staged migration with validation at each wave.
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Adopt
Role-based enablement, hypercare and usage review.
Capabilities in detail
All 9 Dynamics 365 capabilities
Dynamics 365 Sales
A qualification and forecasting model that reflects how the organisation actually sells, with data quality designed in.
- Dynamics 365 Sales
- Dataverse
- Power BI
Dynamics 365 Customer Service
Case management, routing, service levels and knowledge that reduce handoffs and repeat contact.
- Dynamics 365 Customer Service
- Copilot Studio
- Dataverse
Dynamics 365 Field Service
Work orders, scheduling, asset history and mobile capture that works in genuinely low-connectivity locations.
- Dynamics 365 Field Service
- Power Apps
- Dataverse
Dynamics 365 Customer Insights
Unified customer profiles, segmentation and journey orchestration built on data you can defend.
- Dynamics 365 Customer Insights
- Microsoft Fabric
- Dataverse
Dynamics 365 Contact Center
Voice, digital and self-service channels handled coherently, with routing and reporting across all of them.
- Dynamics 365 Contact Center
- Copilot Studio
- Power BI
Dynamics 365 Project Operations
Estimation, resourcing, delivery and billing connected, so commercial context survives into delivery.
- Dynamics 365 Project Operations
- Dataverse
- Power BI
Marketing and Customer Journeys
Triggered, measurable customer journeys with consent handling designed in rather than added later.
- Dynamics 365 Customer Insights
- Dataverse
- Power BI
CRM Modernisation
Migration from legacy or fragmented CRM with process redesign, not a lift and shift of old habits.
- Dynamics 365 Sales
- Dataverse
- Azure Data Factory
Dataverse Solutions
Data model, security roles, business rules and application lifecycle management done properly from the start.
- Dataverse
- Power Apps
- Azure DevOps
Solution scenarios
How this family shows up in practice
Dynamics 365 sales process modernisation
A qualification and forecasting model that reflects how the organisation actually sells, with data quality designed in.
Customer service case triage and automation
Automated classification, routing and drafting support for high-volume service queues, with clear escalation to people.
Pre-sales estimation and delivery handoff automation
A structured path from opportunity to estimate to signed scope, with assumptions preserved into delivery.
Industry context
Where we apply this most
Related insights
Business Applications
Why CRM data quality decays, and what actually holds it
Data quality is an operating problem before it is a technical one. Controls help; ownership, incentives and a workable process matter more.
Business Applications
Designing service triage that scales without frustrating customers
Automation in customer service works when the boundary between machine and human is explicit, measured and adjustable.
Delivery
Choosing configuration over code, and knowing when not to
Configuration is cheaper to build and far cheaper to maintain, until the requirement genuinely exceeds the platform. A practical test for the boundary.