Macrina Kgil recalls a moment when she first encountered blockchain technology and “could not grasp whatever it was trying to do,” she tells us. Even with an engineering background, the concept felt distant and unclear. Yet that early confusion would later become a defining thread in her career.

Years later, when the opportunity arose to join Figure, Kgil recognized something different. The company had moved beyond theory—it was actively commercializing blockchain to reshape capital markets. That realization, she tells us, drew her in. What she saw was an intersection between consumer lending and blockchain innovation, two domains she had come to understand deeply through prior roles.

At Figure, that intersection takes form as a capital marketplace where loans can be originated and sold with greater speed and transparency. Traditional processes, she explains, required extensive validation and negotiation across multiple parties. By contrast, blockchain enables a standardized system where loan ownership is visible and singular—“you can only have one owner,” she tells us—reducing inefficiencies and risks like double pledging.

This progression—from uncertainty to conviction—mirrors Kgil’s broader strategic mindset. Rather than waiting for technologies to mature, she leans into complexity, learning from within. Her decision to engage with blockchain early reflects a willingness to navigate ambiguity in pursuit of long-term impact.

For Kgil, innovation is not simply about adopting new tools. It is about applying them in ways that improve outcomes—making financial systems faster, clearer, and ultimately more effective for those who depend on them.

At Sage Future in San Francisco, three conversations reveal how AI is reshaping the finance function—from vision to execution to industry impact. Sage CTO Aaron Harris outlines the shift from assistive tools to autonomous systems, where trust and transparency will determine adoption. Sage's Jon Fasoli brings that vision into today’s finance workflows, where teams are cautiously embracing AI to accelerate decisions while maintaining control. And Sage's Julie Adams shows how these changes are unfolding inside construction, where real-time visibility and connected data are becoming essential to protecting margins and managing complexity.

Aaron Harris, CTO, Sage

Explores AI’s evolution toward autonomy, emphasizing that trust, explainability, and governance will determine how quickly finance leaders are willing to let go.

Jon Fasoli, SVP, Sage

Details how finance teams are applying AI today—balancing speed with control, and reinvesting productivity gains into faster, more informed decision-making.

Julie Adams, SVP, Sage

Highlights how AI is connecting fragmented construction workflows, enabling end-to-end visibility across projects to better manage costs, labor, and profitability.

Andre Mancl recalls sitting only a few months into his first CFO role when a senior technology executive arrived with an urgent warning: engineers were leaving for Google and Facebook, and the company needed an immediate across-the-board compensation increase of 30% to 40%. It would have been a major financial commitment. But Mancl hesitated. Drawing on years spent reading markets and assessing business conditions, he tells us the moment felt “toppy.” The SPAC market was imploding, IPO activity had stalled, and he believed private-market conditions would soon tighten. Instead of approving the full request, he supported a smaller targeted pool of compensation adjustments. A week later, hiring freezes began spreading across large technology companies.

That decision captures the uncommon path that shaped his judgment. Before finance leadership, Mancl spent nearly nine years in the U.S. Navy, including seven as a helicopter aviator. There, he learned that decisions carry real consequences. He describes flying night landings onto ships with junior pilots, keeping his hand near the controls—not to take over, but to prevent a dangerous mistake. The lesson still informs how he leads teams today.

An MBA earned while teaching ROTC at UCLA opened the door to investment banking, where he spent roughly 15 years advising high-growth internet companies on IPOs, financings, and M&A. Over time, he says, business assessment became instinctive: when margins or growth rates looked wrong, something usually was.

Today, as CFO of Nium, he applies that same blend of discipline and pattern recognition to a global payments market he values at $100 trillion, he tells us. His focus now includes automation, stronger margins, and using data to drive sharper decisions across the company.