Microsoft · Manufacturing
Fortune 100 manufacturer accelerates close 50% with Fabric + Azure OpenAI copilots
50% faster financial close · finance copilots grounded on Fabric
At a glance
Key metrics
50%
faster financial close
2x
forecast-cycle velocity
140
entities on a shared Fabric model
Challenge
The situation
Month-end close ran on manual reconciliations across 140 entities. FP&A teams rebuilt the same pivots every month. Business AI was available but ungoverned.
Approach
How we delivered
- 01 Stood up Microsoft Fabric as the shared finance + operations semantic layer.
- 02 Grounded Azure OpenAI copilots on Fabric, with lineage and access control from Purview.
- 03 Rebuilt FP&A reporting into reusable data products with named owners.
Architecture
Solution architecture
Fabric OneLake as the shared store. Warehouses for finance, Lakehouse for operations. Power BI semantic models published as certified data products. Azure OpenAI copilots grounded via Fabric's AI-ready data. Purview as the catalog; Entra for identity.
Architecture diagram placeholder
Data flow across source systems, platform, governance, and activation layers.
Outcomes
Measured results
- 50% faster close.
- 2x forecast-cycle velocity.
- Copilot audit trail approved by SOX compliance on first review.
Technology
Tech stack
Platform
- Microsoft Fabric
- Azure OpenAI
- Power BI
Governance
- Microsoft Purview
- Microsoft Entra
“Our FP&A team stopped being data janitors.”
Related
More outcomes
Chasing a similar outcome?
Tell us your target — cycle time, cost, risk, adoption. We'll walk you through what we've delivered closest to it.