Autonomous regression testing for Dynamics 365 identifies real business processes from actual system usage, converts them into reusable test cases, and runs them on a predictable schedule before every release – without requiring business users to record sessions or attend workshops to define what should be tested.
IT teams review and approve the AI-identified processes, then schedule and run the resulting tests automatically. This article walks through each step of that process, how it compares to manual testing and to Microsoft’s RSAT, and where it fits into a broader testing strategy.
What is autonomous regression testing for Dynamics 365?
Autonomous regression testing is an approach that defines regression test cases based on how Dynamics 365 is actually being used, rather than from documentation, assumptions, or manual workshops with business users. Instead of a QA team guessing which processes matter enough to test, the system identifies recurring, business-critical processes directly from real usage data.
This matters because Dynamics 365 changes constantly. Microsoft ships updates on a continuous cadence, and every one of them can affect a process a business depends on. Manually defined regression suites tend to reflect what someone thought was important at the time they were built, then go stale as usage shifts. Autonomous regression testing keeps the test basis current by tying it to what the system is actually doing today.
Why does manual regression testing break down over time?
Manual regression testing breaks down because it depends on three things that don’t scale: business user availability, someone remembering to update test cases as usage changes, and enough lead time before each release to run everything. In practice, all three tend to fail simultaneously under deadline pressure.
- Coverage reflects assumptions rather than actual usage, since test cases are usually defined once, early on, and rarely revisited
- Testing depends heavily on business users being available to record processes or validate outcomes, which makes scheduling difficult and slows releases
- Because defining tests manually is expensive, regression cycles become reactive – assembled right before a release under time pressure, instead of running on a predictable schedule
How autonomous regression testing works, step by step
Autonomous regression testing for Dynamics 365 follows a four-step cycle: identify real processes from usage, generate test cases automatically, have IT review and approve them, then schedule and run tests on a recurring basis. Each step removes a specific point of manual effort from traditional regression testing.
Instead of starting from documentation or a workshop, the system observes how Dynamics 365 is genuinely being used and identifies the processes that recur often enough to matter for regression testing – surfacing what people are actually doing, not what a test plan assumed months earlier.
The AI-driven identification step transforms observed processes into structured, reusable regression tests, removing the manual work of recording every scenario by hand and reducing the need for specialized D365 testing knowledge to build the initial test set.
Autonomy does not mean no oversight. IT teams review the AI-identified processes and approve which ones become part of the active regression suite. Business users are only pulled in to validate outcomes when it’s genuinely needed.
Approved test cases are grouped into test suites and scheduled to run automatically – in particular, before Dynamics 365 updates and before new code releases – turning regression testing into a predictable, repeatable cycle.
What changes in practice: before vs. after autonomous testing
The shift from manual to autonomous regression testing changes four concrete things about how a testing program runs day to day, not just how test cases are initially written.
| Before autonomous testing | With autonomous testing | |
|---|---|---|
| How tests are defined | Manually, from documentation or assumptions | From real system usage, identified automatically |
| Dependency on business users | Strong – recording sessions, workshops required | Minimal – validation only when needed |
| Coverage basis | Assumptions about what matters | Actual usage patterns, growing over time |
| Regression cycle timing | Reactive, assembled just before release | Predictable, run consistently before every release |
| Oversight | Ad hoc | IT-led review and approval at every step |
The coverage difference compounds over time. A manually built regression suite reflects a snapshot of the system at the moment it was written and requires deliberate effort to update as usage evolves. A usage-based regression suite grows and shifts automatically as the underlying system usage does, without anyone needing to manually redefine it.
How does this compare to Microsoft’s RSAT?
Microsoft’s Regression Suite Automation Tool (RSAT) provides basic regression testing capability for Dynamics 365, but it requires more manual setup and script handling than a purpose-built autonomous testing platform. The two differ most in setup time, script creation speed, and how easily test scripts can be modified at scale.
Setting up RSAT typically requires technical support and independent research, while a dedicated testing platform like Testing by XPLUS can be ready to use within about an hour, including dedicated training. Creating and running a simple automated test in RSAT typically takes 5–10 minutes; the equivalent task on Testing by XPLUS takes roughly 2–3 minutes, since script creation, modification, and execution happen inside a single workspace rather than through manual file handling. RSAT also lacks built-in support for mass script reconfiguration and API-based integration with other platforms, both of which matter for organizations running Dynamics 365 alongside other connected systems.
What results do organizations see with autonomous regression testing?
Organizations adopting autonomous or automated regression testing for Dynamics 365 report faster release cycles and reduced dependency on business users for testing work. One Dynamics 365 partner using Testing by XPLUS reported that shifting the testing workload away from business users allowed them to introduce new releases faster while maintaining quality – without adding headcount to the testing process.
More broadly, the vendor behind this approach, XPLUS, has delivered over 300 Dynamics 365 projects across 30 countries over more than two decades of Dynamics 365-specific work, and has been recognized four times as Microsoft Partner of the Year. That combination of implementation experience and purpose-built automation tooling is relevant context for evaluating whether an autonomous testing approach fits a given environment, since the tooling is built by a team with direct exposure to how Dynamics 365 regression testing fails in practice.
FAQ
What is autonomous regression testing?
Does autonomous regression testing remove IT oversight?
How is this different from Microsoft’s RSAT?
How long does it take to get started with autonomous regression testing?
Does test coverage stay up to date automatically?
Is autonomous regression testing only for Dynamics 365 Finance & Operations?
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