Enterprise Copilot Program Across 74,000 Employees
Illustrative reference architecture. This is a composite engagement template built to show how Mopshy structures enterprise work. It is not a real Mopshy client, and every figure, KPI, and quotation on this page is illustrative rather than measured client data.
Enterprise-wide copilot rollout with governance, evaluation, adoption, and business-unit-specific accelerators across 22 business units.
1.7M
Hours saved / yr
82%
Active-user rate
$142M
Annualized productivity value
The bottleneck
Shadow AI use was climbing. Governance was fragmented across BUs, adoption was uneven, and the CIO had no defensible ROI narrative for the board.
The system
- Central AI platform with enterprise SSO, DLP, and per-BU workspaces
- 22 BU-specific accelerators (contracts, procurement, finance close, HR, etc.)
- Evaluation & red-teaming pipeline with quarterly disclosures
- Adoption program: role-based training, champions network, and productivity metrics
Outcomes measured, not promised
74K
Employees enabled
22
Business units accelerated
0
Sanctioned data exfil incidents
94%
Governance council satisfaction
What it cost, what it returned
Investment
$18M program (year one, enterprise-wide)
Payback
8 months
Annualized value
$142M productivity value
Value modeled from time studies across 12 role families, validated by CFO and internal audit.
How it is built
- Central AI gateway with policy enforcement, DLP, and observability
- BU-specific accelerator library with reusable prompts + tools
- Evaluation and red-team platform with quarterly disclosures
- Adoption analytics tied to role-family productivity metrics
Representative engagement. This case study describes a composite of Mopshy AI's enterprise engagement patterns, delivery methodology, and observed outcome ranges. Company names, individual quotes, and specific figures are illustrative and used to communicate the enterprise pattern rather than to describe a single identified client.
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