Confidence at the Speed of AI: What Autonomous Testing Should Look Like for Dynamics 365 Teams
Every Dynamics 365 team knows the arithmetic. Two Wave releases a year. Continuous service updates in between. Customisations, integrations and ISV solutions that all have to keep working every time Microsoft moves the platform forward. And now a fixed date in the calendar: support for the Regression Suite Automation Tool (RSAT) ends on 15 May 2027, which puts a firm horizon on the approach many finance and operations teams have relied on for regression coverage.
Against that backdrop, the industry conversation has moved on from test automation to autonomous testing. AI agents that can generate, run, diagnose and repair tests sound like exactly what a team under release pressure needs. And they can be. But autonomy is only worth having if you can trust it, and trust is precisely where most of the current AI conversation falls short.
Autonomy without governance is just risk, delivered faster
For the organisations that run their business on Dynamics 365, software carries real consequence. A missed defect in a finance posting rule is not a cosmetic bug; it is a misstated ledger. A broken warehouse process is not an inconvenience; it is stock that does not ship. These are governed, structured environments with audit obligations, segregation of duties and change control for good reason.
So the right question to ask of any autonomous testing capability is not how much the AI can do on its own. It is: what exactly does the AI do, who approves it, and can I evidence every decision afterwards? If a vendor cannot answer all three, what they are offering is not autonomy. It is exposure.
What governed autonomy looks like in practice
This is the thinking behind Virtuoso Touchstone, the agentic layer of the Virtuoso QA platform. Touchstone puts AI agents to work across the full testing cycle: they propose requirements, generate test journeys, classify failures, suggest repairs and rerun tests. The critical word in that sentence is propose. Human approval is built into the workflow, so agents recommend and humans decide. Your team defines the boundaries of autonomy, and every decision the system takes is recorded so it can stand up to scrutiny later.
The distinction matters more in Dynamics 365 than almost anywhere else. When a Wave release changes a form, an agent that quietly rewrites your tests to match has not fixed anything; it may have papered over a genuine regression. An agent that classifies the failure, proposes a repair and waits for a qualified human to confirm whether the change was intended is doing the job properly. Speed with judgement, not speed instead of it.
Why this matters for Dynamics 365 teams right now
Regression testing in Dynamics 365 is not a project with an end date. It is a permanent operating cost set by Microsoft's release cadence, and that cadence is not slowing down. Each Wave brings changes across Finance, Supply Chain and Commerce that have to be validated against your customisations, your integrations and your data. Teams that handle this with manual regression cycles or brittle scripted suites pay for it twice: once in the effort itself, and again in the release delays it causes.
Autonomous testing changes the economics because the expensive parts of the cycle, working out what broke, why it broke and what to do about it, stop consuming skilled people's time by default. Your consultants and IT managers review and approve rather than investigate and rebuild. That is the difference between confidence at the speed of AI and confidence at the speed of your busiest team member's calendar.
Assembly, not construction
There is a second half to this story, because an agent is only as productive as the starting point you give it. Most Dynamics 365 testing effort is still spent constructing regression suites from scratch: mapping processes, scripting steps, maintaining the result. That construction work is exactly what should be eliminated, not accelerated.
Virtuoso's composable library for Dynamics 365 contains 1,000+ pre-built D365 test journeys covering the standard processes that make up the bulk of any regression scope. Instead of building coverage step by step, teams select the journeys that match their processes, configure them for their own data and customisations, and automate from there. The agentic layer then keeps that coverage alive as the platform changes underneath it.
You do not have to take that on trust. The full library is open for MSDW readers to explore, free and self-serve, at composable.virtuoso.qa. Log in, search for the processes you regression test today, and judge for yourself how much of your current build effort is already sitting there, done.
The RSAT planning window
A word on RSAT, because it deserves a fair one. RSAT has served finance and operations teams well, and the end of support on 15 May 2027 is not a reason to panic. It is a reason to plan. A considered transition takes at least a full release cycle to run in parallel, compare results and build confidence, which means the teams in the strongest position in 2027 will be the ones who started evaluating alternatives in 2026. Treat the date as a planning horizon, not a cliff edge, and the transition becomes an opportunity to upgrade the whole approach rather than a forced migration under pressure.
Where to start
Start with the library. Explore the 1,000+ pre-built Dynamics 365 test journeys at composable.virtuoso.qa and see how far assembly gets you before you write a single test step. Then, when you are ready to see governed autonomy working on top of that foundation, we would be glad to show you Touchstone live.
Software that carries real consequence deserves testing that carries real accountability. That is the standard autonomous QA should be held to, and it is the one we have built for.