Q&A with Cory Hrncirik, Microsoft's Modern Finance project lead, on flattening the company's finance head count with AI and data lakes, using Excel, and more
Context & Ripple Effects
In this 2022 Q&A, Cory Hrncirik lays out how Microsoft's Modern Finance project uses AI, data lakes, and Excel to flatten the finance organization's head count — an unusually explicit account of a company automating its own back office rather than just selling the tools. The interview reads as the internal blueprint for what came later: Microsoft's Copilot for Finance public preview turned the same reconciliation-in-Excel and collections workflows into a shippable enterprise product.
The arc also runs through leadership: CFO Amy Hood, profiled two years later as a budget hawk steering Microsoft's AI spending spree, is the executive sponsor for whom a leaner, AI-run finance function is both cost discipline and proof of concept.
First-order effects
- Microsoft's own finance staff are the immediate affected group: reconciliation, reporting, and collections work shifts from analyst head count to automated pipelines built on data lakes and Excel.
- Hrncirik's team sets an internal precedent other Microsoft business units will be measured against — if finance can flatten, so can adjacent functions like HR operations and procurement.
Second-order effects
- By launching Copilot for Finance, Microsoft converts its internal cost-cutting playbook into a revenue line, forcing SAP, Oracle, and Workday to answer with their own embedded AI for close-and-reconcile workflows.
- CFOs at large enterprises gain a reference case from a peer they trust — Microsoft running its own numbers on these tools — which accelerates procurement conversations across the Fortune 500.
Third-order effects
- If the pattern holds, corporate finance functions structurally shrink toward oversight and judgment roles, with entry-level analyst work absorbed by AI pipelines — changing the career ladder that has long defined the profession.
- Vendors' own organizations becoming their best demos blurs the line between software seller and software user, pushing enterprise AI adoption through CFO budgets rather than IT budgets.
The trend: Corporate back-office functions are being rebuilt around AI and data platforms, with companies like Microsoft first flattening their own teams and then selling the same transformation as product.