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Tom

Fencl

CFO

Quantilope

Tom Fencl is a strategic finance leader and the Chief Financial Officer at quantilope, bringing over 25 years of experience in financial management, strategic M&A, and scaling high-growth tech companies. Known for his core philosophy that a modern finance leader must serve as a company's "steward of clarity and truth," Tom has a proven track record of elevating global SaaS businesses. Prior to joining quantilope, Tom served as CFO of CHEQ Inc., where he spearheaded strategic pricing and cost structure reviews before successfully executing the digital payment platform's sale to Cantaloupe, Inc. (NYSE: CTLP). Before that, he was a driving force behind the exponential growth of the price optimization software Pricefx. During his tenure, he helped scale the global team from 70 to nearly 400 employees, oversaw a 7x growth in Annual Recurring Revenue (ARR), led the acquisition of AI startup Brennus Analytics, and was instrumental in raising over $130 million in venture capital. His robust operational foundation is built on early career experience in investment banking and private equity. He holds an MBA with High Distinction from the University of Michigan's Ross School of Business and is a CFA charterholder.

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17 November 2026 11:15 - 12:00

Panel - AI can build the forecast. You still own it.

AI is doing more of the modeling behind a forecast, but the authority and responsibility for what goes to the board doesn't move with it. This panel gets into what it actually means to hold that line: how CFOs are making sure models are trained on data they'd actually defend, what a real audit trail looks like so a forecast isn't a black box, and what happens when a number misses and "the model said so" isn't an acceptable answer. Key takeaways: - Why authority over the forecast stays with the CFO regardless of how much of the modeling AI handles. - What "properly trained" actually means in practice, and how CFOs are vetting the data before it ever reaches the model. - How CFOs are building a genuine audit trail into AI-generated forecasts, so the logic is inspectable, not a black box, when the board asks questions.