CRM go-lives fail on lead routing, not code.

A thorough Dynamics 365 CRM UAT should cover: lead routing and assignment rules under real data conditions — including edge cases like unmatched territory criteria; opportunity stage workflows and the required-field logic at each stage transition; territory and business unit hierarchy, verified against your actual organisational structure rather than the sandbox demo data; security role validation per user type, including Azure AD group mappings and record-level access; duplicate detection rule behaviour; data migration accuracy for contacts, accounts, and historical opportunity records; and Power Automate flows that sync CRM data to connected systems (ERP, marketing platforms, finance). The goal is to test the way your actual sales team will work — not the happy path the implementation partner used for sign-off.

The most common Dynamics 365 CRM go-live failures are: lead routing misconfiguration — territory rules that behave correctly in sandbox but fail against real account data, routing high-value leads to wrong teams; opportunity workflow gaps — stage transitions that bypass required fields or trigger incorrect follow-on automation; security role mismatches — Azure AD group mappings that grant broader access than intended, or restrict users from records they legitimately need; data migration quality issues — migrated contact and account records with broken relationships, incorrect ownership, or missing fields that drive automation; and Power Automate flow failures — integrations to ERP or marketing platforms that silently error on edge-case record formats. These failures share a common cause: they only surface under real data and real user behaviour, not in the controlled scenarios used during implementation testing.

A focused Dynamics 365 CRM UAT engagement — covering lead-to-opportunity workflows, territory and security role validation, and a single ERP integration — typically runs two to three weeks. If the scope includes a large data migration from a legacy CRM, complex territory hierarchies, or multiple Power Automate flows connecting to external systems, four to five weeks is more realistic. Bugwolf scopes UAT coverage after reviewing your implementation design, the number of user roles in scope, and your go-live date constraints. Contact us early — the closer you are to go-live, the less runway there is to resolve defects properly.

Implementation partners test against the specification they wrote. That creates a structural blind spot: they validate that the build matches their design, but not that the design matches how your sales team actually works. Independent UAT by Bugwolf specialists means someone is testing lead routing against your real territory data, opportunity workflows against your actual deal stages, and security roles against your live Azure AD groups — not a sanitised demo dataset. It also removes the conflict of interest that exists when the same team is responsible for building and signing off the system.

Yes — post-go-live UAT is often called regression testing or stabilisation testing. If your CRM is already live but you're seeing data quality issues, lead routing anomalies, or user complaints about access, Bugwolf can embed a specialist to diagnose the root cause and run a structured validation against your production configuration. This is more complex than pre-go-live UAT because changes must be made against a live system, but it is entirely feasible. Contact us to discuss the specific issues you're seeing.

Dynamics 365 CRM security role UAT catches: Azure AD group mappings that grant broader data access than intended — for example, a Sales role that inadvertently exposes Finance account records; business unit hierarchy mismatches where users in one BU can read or edit records owned by another; record-level access gaps that block users from records they legitimately need to action leads or close opportunities; privilege escalation paths — combinations of roles that produce elevated access not present in either role individually; and missing access that blocks workflow automation, such as a Power Automate service account lacking the permissions it needs to update opportunity records. These defects are invisible in sandbox testing because the user population and data volume are too small to expose boundary conditions.