Why quality needs to be built into cloud transformation
Moving a legacy ERP to the cloud rarely stops at go-live. Testing planned from the start, automation and change impact analysis keep critical processes working through the move and after it.
Cloud migration has become a major priority for enterprise IT teams, but moving a legacy ERP system to the cloud is rarely just a technology project. With the ERP sitting at the heart of a business, customs processes, integrations and connections to third-party systems are often built around it over many years, meaning even a seemingly small change can have consequences elsewhere.
That complexity makes quality an important part of the migration from the outset. Businesses need to understand how changes will affect critical processes, maintain confidence in those processes throughout the move and ensure they continue to work as expected once the new environment is in place. The move to the cloud is therefore not the end of the process. As systems evolve, updates become more frequent and new processes are introduced, organisations need to maintain that focus on quality long after migration is complete.
The biggest mistake is underestimating complexity
It is easy to focus on the destination when planning a migration. But before deciding how quickly to move, businesses need to properly understand what they already have. Legacy ERP environments have often evolved over decades. Custom developments have been added, business processes have changed, and connections to other systems have multiplied. Those dependencies can make transformation significantly more complex than simply moving applications and data from one environment to another.
Businesses therefore need to understand which processes are most important, which systems rely on each other and where a failure would have the greatest impact. This is particularly important because large migrations rarely happen all at once. Legacy and new environments may need to operate alongside one another while different departments, processes, or systems are migrated.
That creates an additional challenge. The existing environment still needs to be maintained and tested at the same time as the new one. Without planning for that workload from the beginning, testing teams can quickly find themselves stretched between keeping the business running and supporting the transformation.
Speed means nothing without stability
There is understandable pressure to modernise quickly. Cloud platforms can provide greater flexibility while making it easier to adopt new capabilities and respond to change. But speed should not come at the expense of business continuity.
An ERP system supports processes that organisations cannot simply pause during a migration. Ordering, payroll, invoicing and supply chain processes still need to work while the underlying technology is changing. Testing plays an important role in providing that confidence.
During a migration, organisations need to compare processes across old and new systems to make sure they continue to produce the correct results. A payroll process, for example, should still produce the right outcome after it has moved to the new environment. Businesses also need to check that data has transferred correctly and that nothing has been lost along the way.
Leaving these checks until the end of the project increases the risk of discovering problems when they are harder, and potentially more expensive, to address.
Why testing becomes a bottleneck
With CIOs under pressure to reduce transformation timelines, testing can easily be underestimated. Recent research found that 32% of organisations deploying untested code cited leadership pressure to prioritise speed over quality.
That pressure can intensify during an ERP migration, where regression testing alone can involve thousands of individual test cases across changing business processes, integrations and financial rules. During a long transformation, those tests may also need to be carried out across both the legacy and new systems.
Cloud environments create further demands. Modern ERP environments increasingly rely on connections between the core system and surrounding applications. Keeping the core clean and easier to update can make the environment more agile, but it also makes regular integration testing increasingly important.
A single business process can cross several systems before it is completed. If one connection changes or becomes unavailable, the entire process can be affected even if the core ERP platform itself is working as expected.
Relying heavily on manual testing in this environment quickly becomes difficult to sustain. Teams can spend significant amounts of time repeating the same regression tests instead of focusing on new functionality, changes and areas of greater business risk. The question is therefore not simply how businesses can test more - it is how they can test more effectively.
Build quality into the transformation
The strongest migration programmes do not wait until deployment to think about quality. They define their approach to testing during the planning stage.
Businesses should understand which tests will be required, which skills they have available and where automation can reduce repetitive manual work. They also need to identify their most important business processes so testing can be focused on the areas where failure would have the greatest impact.
Automation is particularly valuable for regular regression testing. Tests that would otherwise need to be repeated manually can run automatically, freeing teams to spend more time investigating new changes and potential risks.
Change impact analysis can make that process more focused again by helping teams understand what has actually been affected by a change and which tests need to be run as a result. Rather than testing everything simply because something has changed, teams can concentrate their efforts where they are needed most.
This is an important shift in thinking. Testing should not be seen as something that slows transformation down. Done properly, it gives organisations the confidence to move faster because they have a clearer view of the risks involved.
Go-live isn't the finish line
One of the biggest changes associated with cloud migration comes after deployment. Traditional ERP projects could encourage businesses to think of implementation as having a clear endpoint: deploy the new system, complete a period of intensive testing and support, and then move into normal operations.
Cloud environments work differently. Updates and new functionality arrive more frequently, while surrounding applications and integrations continue to change. Businesses need to be able to test those changes quickly and regularly.
Quality therefore becomes an ongoing requirement rather than something associated only with the migration project.
Automation can continue to run standard tests across the environment, while change impact analysis can help teams identify which processes need attention following an update. AI is also starting to support testing in areas such as maintaining test cases when objects are moved or renamed, assisting with identifying risks and helping teams interpret results.
These capabilities matter because the pace of change is unlikely to slow once a business reaches the cloud. The ability to deal with continuous updates becomes part of maintaining the new environment effectively.
Quality is what enables faster transformation
Modernising a long-established ERP environment will always involve complexity. Businesses need to keep critical processes running while managing legacy systems, moving to new technology and preparing for a faster pace of change once they get there.
That makes quality a fundamental part of transformation, not a final check before go-live. Understanding the existing environment, identifying risks early and building testing into the migration gives teams greater visibility over what is changing and where problems could arise. Automation can then reduce repetitive work and allow teams to focus on the areas that require greater attention.
Most importantly, that approach should continue after migration. Moving to the cloud is an important milestone, but it does not remove the need for testing. If anything, more frequent updates and increasingly connected systems make continuous quality even more important.
The goal is not simply to complete the migration - it is to create an environment that the business can continue to change, update and improve with confidence.