Microsoft Reshapes Finance with GenAI Partnership

As companies scale, finance departments often face a proportional increase in workload. However, Microsoft has defied this trend by leveraging generative AI (GenAI) to maintain efficiency amidst 300% revenue growth over the past decade.

The company’s approach centers on technology-driven productivity gains rather than headcount expansion. “We lean on technology to streamline how people work,” explains Cory Hrncirik, senior director of Frontier Finance Transformation at Microsoft.

PwC partnered with Microsoft to implement this vision, focusing on transforming finance from a reactive reporting function to one that proactively informs business decisions. This shift aligns with PwC’s concept of “insights” – using technology to free up employees for higher-value activities.

From Reactive Reporting to Strategic Insights

While traditional finance models require more staff as revenue grows, Microsoft’s GenAI implementation allows the department to handle increased volume with existing resources. This enables finance professionals to focus on analysis and strategic recommendations rather than manual processing.

According to Jim Berres, PwC principal for financial solutions, this represents a fundamental shift in how finance operates – moving from simply reporting past performance to actively shaping future outcomes.

Building AI Capabilities In-House

Microsoft’s finance team generated 130 ideas for GenAI applications before prioritizing the top six with CFO Amy Hood. The first implementation was a deal document inspector that uses AI to review contracts, ensure compliance, and even translate documents as needed.

PwC helped develop this application in just three months using Microsoft Foundry Tools and PwC’s AI Factory – a framework designed to reduce development costs through reusable components and self-service capabilities. This aligns with Microsoft’s culture of empowering employees to drive innovation.

“We have finance people becoming change agents, identifying bottlenecks, and rearchitecting processes,” Hrncirik says. “Our goal is to enable everyone in the department to build AI solutions and share best practices – creating a truly future-ready finance organization.”