Windows 11 transformation that doubled as Copilot readiness.

Three tenant environments, 25,000 endpoints, 400+ application packages, simultaneous phased deployment. Windows 11 transformations at this scale are where the cost-overrun patterns live in financial services — and where the migration almost always runs blind, with IT seeing deployment counts but not user sentiment, friction patterns, or where the next escalation will come from. The engagement bundled two outcomes into one program plan: the migration itself, and the Purview DLP and data-oversharing assessment that established the gating posture for downstream M365 Copilot enablement.

Application packaging at scale

400+ application packages across three tenants required dynamic group assignment and licensing optimization to avoid the fan-out cost trap. Each package was scoped against the tenant cohort that needed it, license entitlements modeled per cohort to avoid over-licensing the long tail, and rollout sequencing tied to the deployment phases so dependencies surfaced in the right order. Done well, this work is invisible — the absence of the cost overrun, the absence of the licensing audit finding. Done poorly, it becomes the post-migration retrospective that defines the next engagement.

AI-powered deployment feedback

Most enterprise migrations of this size run blind. IT sees deployment counts in real time but doesn't see user sentiment, friction patterns, or the technical issues that will become tomorrow's escalation. The deployment feedback system integrated Copilot, Power Apps, and Power BI to surface deployment health, user sentiment, and technical issues in real time. Stakeholders saw and responded to friction as it emerged, not in the quarterly retrospective after the rollout was already off course. The system itself was a downstream demonstration of what enterprise Copilot adoption looks like when it's grounded in operational data, not vendor decks.

Purview DLP and the Copilot readiness posture

Running a Windows 11 migration without simultaneously preparing the data layer for Copilot is a sequencing miss. The Purview DLP work — sensitivity labels, DLP policy design, oversharing audit — established the data-protection posture that Copilot inherits when it turns on. Done after the migration, the same work would have been more expensive and more disruptive; done during, it folded into the change cadence already in flight. This is the move that buys an organization the right to enable Copilot without inheriting an oversharing problem at scale.

IAM partnership

The IAM team's existing posture became the baseline. Conditional Access, Entra ID configuration, and identity-driven access controls were extended to support the data-protection policies the Purview work surfaced. The result was an IAM and Purview boundary that didn't require a separate sub-program after Copilot enablement to formalize. Enabling Copilot then becomes a flip of the switch on a tenant whose data-protection floor was set deliberately, rather than a project of its own.