Many companies are currently working on migrating from Dynamics 365 Customer Engagement On Prem to the cloud. The pressure is increasing not only because of the support deadlines, but also because of new requirements around AI, Copilot, automation and modern integrations.
At the same time, practice shows that CRM migrations are rarely purely technical projects. Processes, data structures and individual adaptations often play a much greater role than originally expected. This is precisely why it is worthwhile to consider migration not only as a system change. Companies have the opportunity to simplify existing structures, reevaluate processes and create the basis for modern ways of working. In this article, you will learn which steps are important in a Dynamics 365 cloud migration, which challenges are often underestimated and what companies should pay attention to when preparing.
Why many companies are starting to plan now
In many cases, the actual migration takes much longer than expected. CRM environments that have grown over time often contain numerous adjustments, integrations and individual processes. In addition, modern functions are now almost exclusively created in the cloud.
This concerns, among other things:
- Microsoft Copilot
- AI Agents
- Power Platform Integrations
- modern automation
- Real-time analytics
Many companies therefore not only want to replace existing systems, but also modernize their CRM environment at the same time.
Step 1: Evaluate existing CRM structures
The most important step often takes place before the actual migration. Companies must first understand how their existing CRM is actually used. Older Dynamics environments in particular often contain structures that have grown over the years.
Typical questions are:
- Which processes are actively used
- What other adjustments are relevant
- What fields and workflows are actually needed
- What integrations do you have with other systems?
At this stage, many organizations find that some of the existing adaptations are hardly used today. This is precisely why the evaluation of the existing structure is crucial.
Step 2: Check data quality and data structure
Data plays a central role in migration. Inconsistent data, duplicate data sets or unclear field structures not only complicate migration, but also affect processes, automation and AI use later on.
Typical problems are:
- duplicate customer data
- Inconsistent data maintenance
- Outdated information
- Missing required fields
- Different usage between teams
Modern functions such as Copilot or AI Agents in particular require consistent and structured data.
Many companies therefore underestimate the effort involved in data cleansing and data evaluation.
Step 3: Reevaluate processes instead of simply adopting them
A common mistake is to transfer existing processes to the cloud unchanged.
Yet the real opportunity for migration often arises precisely at this point.
Companies can check:
- which processes have become unnecessarily complex
- where media breaks arise
- Which processes can be automated
- which adaptations have arisen historically
Older CRM systems in particular often contain special logics and individual workflows that have been supplemented over the years.
If this structure is simply adopted, existing problems remain.
Step 4: Understand integrations and dependencies
CRM systems rarely work in isolation. In many companies, there are connections to:
- ERP systems
- Marketing Platforms
- Service Applications
- Reporting Solutions
- Document Management Systems
These integrations need to be evaluated at an early stage. It becomes particularly critical when existing interfaces have been developed individually or are insufficiently documented. This often creates unexpected dependencies during migration.
Step 5: Copilot and AI think along early on
Many companies initially view the migration as an infrastructure project. At the same time, the biggest changes are currently being brought about by AI and modern automation. Microsoft develops functions around Copilot and AI Agents primarily for cloud environments.
These include, for example:
- Automatic summaries of customer conversations
- AI-supported preparation of sales appointments
- intelligent prioritization of leads
- automated follow-ups
- Support in customer service
However, in order for these functions to be used sensibly, you need:
- Consistent data
- Modern integrations
- Clear processes
- Central data availability
That’s why AI should be taken into account when planning the migration.
Typical challenges with Dynamics 365 migrations
In practice, similar problems occur again and again.
These include:
- lack of transparency about existing adjustments
- Inconsistent data quality
- Unclear responsibilities
- Different ways of working between teams
- Too tight schedule
CRM landscapes that have grown over time often develop a complexity that only becomes visible during the migration.
Many companies therefore underestimate the organizational effort.
Why governance and accountability are becoming important
Cloud environments allow for much faster customizations and expansions.
At the same time, this increases the importance of clear responsibilities.
Important questions are:
- Who is responsible for processes
- Who decides on adjustments
- How are new requirements assessed?
- How is data quality ensured
Without clear governance, new complexity and inconsistent structures quickly emerge.
The role of change management
Migrations not only change systems, but often also ways of working.
Teams work with new interfaces, new processes and, in some cases, new possibilities.
That’s why it’s important:
- Involve users at an early stage
- Communicate processes in an understandable way
- Schedule training
- Manage expectations realistically
This area in particular is often underestimated.
Best practices for a successful migration
Many successful migrations follow similar principles.
These include:
- Early evaluation of existing structures
- Clear prioritization of processes
- Step-by-step simplification of adjustments
- Focus on data quality
- Realistic scheduling
- Early involvement of the departments
However, the most important point is usually the clear definition of goals.
Companies should not only decide which system is to be replaced, but also how they want to work in the future.
Conclusion
Migrating Dynamics 365 Customer Engagement On Prem to the cloud is much more than a technical upgrade.
Processes, data structures, integrations and organizational procedures play a central role. At the same time, modern cloud environments are creating the basis for new functions around Copilot, AI and automation.
Companies that evaluate and simplify their existing CRM structure at an early stage create better conditions for modern ways of working and future expansions.
Let’s talk briefly about how we can support you in this!
FAQ
How long does a Dynamics 365 Cloud migration take?
This depends heavily on the existing system landscape. Individual adjustments, data quality and integrations have a significant impact on the effort.
What is the biggest challenge in CRM migrations?
In many cases, these are historically grown processes and inconsistent data structures.
Should existing processes simply be adopted?
No. Migrations offer the opportunity to simplify and reevaluate existing processes.
What role does Copilot play in the migration?
Many modern AI functions around Copilot require structured data and modern cloud integrations.
Why is data quality so important?
Because modern automation and AI functions can only work meaningfully with consistent and maintained data.
