An 800-employee financial services enterprise. The VP of IT attended Microsoft Ignite, saw the Copilot keynote, and came back convinced this was the future of productivity. He secured budget for 500 Copilot licenses at $30/user/month — $180,000/year. The rollout was fast: licenses deployed across every department, a company-wide email announcing the new tool, and a single 45-minute webinar on "getting started." No adoption plan. No success metrics. No department-level accountability. 90 days later, the CFO asked a simple question: "Is this working?" Nobody could answer.
Copilot wasn't failing everywhere. It was failing in specific departments where no one had been trained, where workflows didn't align, or where managers never reinforced usage. The department-level data changed the entire conversation from "is Copilot worth it?" to "where is Copilot worth it?"
| Department | Seats | Active Users | Utilization | Utilization Rate |
|---|---|---|---|---|
| Engineering | 45 | 41 | 92% | |
| Sales | 120 | 46 | 38% | |
| Marketing | 80 | 18 | 22% | |
| Finance | 40 | 6 | 15% | |
| HR | 35 | 3 | 8% | |
| Legal | 30 | 8 | 27% | |
| Operations | 60 | 42 | 70% | |
| Executive / Other | 90 | 38 | 42% |
The problem was never Copilot itself. The problem was deploying 500 seats without a plan, without training, without measurement, and without accountability. These findings gave the VP of IT a path forward — and gave the CFO the proof she needed.
| Finding | Score | State at Audit | State After |
|---|---|---|---|
|
198 Zero-Usage Seats — $71,280/yr Waste
Cost Waste · License Management
|
5.00 Do First | 198 seats with zero Copilot activity in 90 days — $5,940/month in licenses no one touched | 198 seats reclaimed — reallocated to waitlisted users in high-utilization departments or cancelled |
|
No Department Utilization Visibility
Governance · Measurement Gap
|
4.70 Do First | IT had no dashboard, no report, no data on which departments used Copilot — deployment treated as "done" after license assignment | Utilization dashboard live — department-level usage tracked weekly, reported monthly, reviewed quarterly |
|
No Role-Specific Training or Workflows
Adoption · Enablement Gap
|
3.90 Do Next | Single 45-minute generic webinar — no role-specific use cases, no department champions, no adoption reinforcement | Department champions trained, role-specific workflow guides published, 30/60/90 adoption check-ins scheduled |
|
No Success Metrics Defined
Governance · ROI Attribution
|
3.60 Do Next | No definition of "success" for the Copilot investment — no baseline productivity metrics, no target utilization rate, no ROI framework | Success metrics defined per department — target utilization rates, productivity baselines, quarterly ROI review |
|
Copilot Costs Hidden in IT Budget
Financial Attribution · Chargeback
|
4.40 Do First | $180K/year buried in IT infrastructure — no department felt the cost, no department had incentive to adopt or optimize | Department chargeback implemented — each department's Copilot cost visible in their budget, reviewed quarterly |
The VP of IT kept Copilot — but now he can prove it works. The CFO got the board a report showing 85% utilization, department-level chargeback, and $90K/year in waste eliminated. Engineering and Operations are power users. Sales is ramping with targeted training. HR and Finance are on a waitlist — seats return when they demonstrate use cases.
The waste is cut. The utilization is climbing. Phase 2 measures whether Copilot is actually making people more productive — not just whether they're logging in.
We measure utilization by department, identify waste, right-size your deployment, and build the chargeback model so every Copilot dollar is accountable.
Audit Your Copilot Deployment →Disclaimer: This use case is based on a simulated engagement using the Coriven Method. Company details are representative. All findings reflect the methodology Coriven applies to real engagements. Green numbers are verified from source data. Indigo numbers are calculated with documented methodology. Gold numbers are estimated from baseline data. Actual results vary.
Every number in this use case is confidence-tagged by color — because we believe if we can't prove it, we should say so.