CFO THOUGHT LEADER

Early in his career, Rich Schmidt recalls presenting an analysis of an operational challenge to leadership—only to be told, “we want you to go fix it.” The assignment marked a turning point. What began as financial analysis quickly became ownership, execution, and accountability across the business.
That moment would come to define Schmidt’s future career path—one that would unfold almost entirely within Inmar Intelligence. After starting in public accounting—“a grind,” as he tells us—he gained exposure to multiple industries in rapid succession, from manufacturing to healthcare. Yet it was inside Inmar where his trajectory took shape, as he moved beyond traditional finance into roles that blended technology, operations, and execution.
Rather than follow a conventional path across multiple companies, Schmidt built a reputation as a problem solver within one. Each new challenge expanded his scope. Each solution deepened trust. Over time, that pattern—analyze, act, deliver—created opportunities that no job change could have replicated.
At times, the path brought uncertainty. He admits he wrestled with whether he was moving “sideways” instead of forward. But those lateral moves became his advantage—preparing him to lead initiatives like M&A integrations and enterprise transformations that required both insight and execution.
Years later, that same mindset informed a defining leadership decision. Facing operational complexity after multiple acquisitions, Schmidt led a transition to a cloud-based ERP system—an investment that reduced the company’s close cycle from “eight to ten days” to “four and a half days,” he tells us.
Looking back, Schmidt’s journey challenges a common assumption: that advancement requires moving on. In his case, growth came from going deeper—solving problems across the enterprise and building a reputation that ultimately carried him to the CFO seat.

Tony MacDonald prefers a different image of the CFO role—one that replaces restraint with direction. “I would like to be considered as one of the people on the stagecoach that helps hold the reins,” he tells us, describing sales as “the horses that I want galloping always full speed ahead.”
That mindset was shaped during his time at Oracle, where he operated inside a deeply sales-driven organization. There, MacDonald learned that finance could influence growth not by limiting it, but by guiding it. His role extended beyond oversight—he led financial planning across an organization of roughly 140,000 people, gaining visibility into how revenue engines scale and where they break down, he tells us.
Today, that experience informs how he approaches revenue operations. Rather than acting as a gatekeeper, MacDonald positions finance as an enabler—rewarding “exceptional performance…unconditionally relative to quality revenue,” while maintaining rigorous control over the metrics that matter, he tells us.
This balance requires precision. From lead generation through the sales funnel, MacDonald emphasizes continuous calibration—using data to refine performance and ensure that growth is both measurable and repeatable. He remains actively involved, even helping build marketing dashboards to improve visibility across the funnel, he tells us.
For MacDonald, revenue operations is not a support function—it is where finance and strategy intersect. The goal is simple: let sales run fast, but make sure they’re headed in the right direction.

In this CFO Thought Leader episode, Jack Sweeney speaks with technology general counsel Akin Adekeye about when AI becomes a board-level concern. Adekeye explains AI crosses into governance when it impacts risk, capital allocation, and competitiveness. He highlights “shadow AI” risks, regulatory uncertainty, and the need for structured oversight. Effective governance includes board involvement, executive ownership, and clear operating controls. CFOs play a central role in balancing innovation with risk, ensuring organizations neither lag competitors nor expose themselves to harm. Looking ahead, AI governance will become standardized, with rising expectations for board literacy, disclosure, and formal control frameworks.
Three Key Takeaways
1. AI becomes a board issue when it impacts enterprise risk and capital allocation
The transition point is not technical maturity—it’s strategic exposure. Once AI influences risk posture, investment decisions, or long-term strategy, it moves beyond IT into board-level oversight.
2. Governance must evolve alongside AI adoption
Boards can no longer treat AI as a siloed innovation effort. It requires structured governance frameworks that address accountability, transparency, and cross-functional implications.
3. Legal and finance leaders play a critical translation role
General Counsels and CFOs are essential in helping boards understand AI’s implications—bridging technical capabilities with risk, compliance, and strategic decision-making.

Marc Mehlman still recalls the moment a senior leader pulled him aside and told him he was “in such a rush” and needed to “enjoy the journey,” he tells us. At the time, Mehlman was part of a leadership program filled with high achievers eager to move quickly into senior roles. Instead, he took a different path—spending nearly a decade moving laterally across FP&A, corporate development, strategy, and operational roles.
That deliberate detour became the foundation of his leadership philosophy. By working across divisions and even geographies, Mehlman built a broad understanding of how businesses actually function. Later, when he stepped into operating roles—including leading a roughly $1 billion revenue segment—he began to see a gap. Many finance leaders could explain results, but not the decisions behind them. “They’re just numbers,” he tells us, emphasizing that financial outcomes are simply the result of actions taken across the business.
Another pivotal moment came when he initially declined an investor relations role. After multiple conversations with senior leadership, he accepted—and discovered the power of communication. There, he learned to tell a consistent story, build credibility, and deliver on expectations quarter after quarter.
Today, as CFO, those experiences converge. His early focus on exploration, combined with operational insight and storytelling discipline, shapes how he evaluates decisions, partners across functions, and defines the modern CFO—not as a reporter of results, but as an architect of them.

Michael Perica had been discussing the market implications of AI with investors for a number of years, but the market didn’t fully react—until one particular moment. In late January and early February, a wave of announcements around enterprise-focused AI models and workflow plugins triggered what has become widely known as the “SaaS-pocalypse.” In a single day, roughly $258 billion in SaaS market value disappeared, he tells us.
For Perica, the episode confirmed something he had already been sensing in conversations with investors and clients. The traditional path to enterprise modernization—committing to large, monolithic software platforms—was no longer the only option. AI, particularly emerging agentic AI technologies, was beginning to offer organizations a new route: modernizing workflows and processes without necessarily replacing entire systems.
The sudden market reaction accelerated those conversations. Investors and executives began reaching out to Rimini Street asking whether this moment validated the alternative technology path the company had been discussing. For Perica, the answer was clear. The event underscored that organizations now had the ability to tailor AI models directly to specific business processes rather than conforming their operations to a rigid software roadmap.
That shift has shaped how Perica thinks about strategy going forward. Instead of viewing AI purely as a tool for efficiency, he sees it as a catalyst for enterprise-wide transformation. Finance leaders, he argues, now have an opportunity to work closely with CIOs to rethink workflows, eliminate operational bottlenecks, and deploy targeted AI solutions that create quick wins across the organization.
In Perica’s view, the SaaS-pocalypse wasn’t just a market correction. It was a signal that a new technology paradigm had arrived—and that forward-looking CFOs must be ready to lead the change.