Overview
A major U.S. energy company deployed Microsoft Copilot but encountered a critical visibility gap. Although licenses were widely distributed, leadership lacked insight into how Copilot was actually being used across the different roles and business units. Native reporting tools provide only high-level summaries, making it difficult to distinguish active users from passive license holders or to understand how Copilot is supporting day-to-day work.
TechWish implemented an AI Adoption Analytics Platform that analyzed usage by role-based job archetypes, including researchers, engineers, and strategists. By linking Copilot interaction data with organizational context, the platform identified high-impact usage patterns, surfaced internal use champions, and highlighted areas where adoption lagged.
These insights enabled targeted training, role-specific enablement sessions, and operational workflows that embedded Copilot into everyday productivity. This approach shifted Copilot from a deployed AI tool to an operational capability, enabling leadership to monitor adoption, guide enablement strategies, and scale AI usage across the workforce.
Snapshot:
- An estimated 20× productivity ROI within six months based on Copilot interaction analysis.
- 44% increase in active Copilot utilization within 90 days.
- Up to 95% reduction in manual reporting effort through automated executive dashboards.
- 50M+ Copilot interaction events analyzed in the first 30 days
