An admin managing Dynamics 365 Sales for an 800-seat organization notices that Copilot-powered features begin failing intermittently for sellers near the end of each month. Investigation shows the tenant's allotted AI message or credit capacity is being exhausted before the monthly reset. A consultant is asked to prevent this from recurring.

The correct answer is monitoring AI capacity consumption trends and provisioning additional Copilot capacity licensing to match the organization's actual usage volume. The root cause identified in the investigation is that AI message or credit capacity is running out before the monthly reset, so the direct fix is tracking actual consumption trends and scaling the provisioned Copilot capacity licensing to match real usage at 800 seats, which prevents the shortfall from recurring. Reducing the number of sellers whose security roles include Dynamics 365 Sales access is incorrect because it takes away their ability to use the core CRM system entirely, a disproportionate and disruptive step that does not address the underlying capacity shortfall and breaks unrelated functionality. Scheduling the Dataverse database to run nightly maintenance and index optimization jobs is incorrect because those tasks improve Dataverse query performance, not AI message or credit capacity, so they would not touch the actual bottleneck causing the failures. Switching affected sellers from the web client to the mobile app is incorrect because the client sellers use, web or mobile, has no bearing on how much AI capacity their Copilot usage consumes; switching clients would not reduce consumption or prevent the monthly exhaustion. Diagnosing this correctly requires recognizing that intermittent end-of-month AI failures tied to capacity exhaustion are a licensing and provisioning issue, not a performance, access, or client issue.