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Dave
Sackett
VP of Finance
Persimmon Technologies
Dave Sackett is the VP of Finance at Persimmon Technologies and has been a public speaker to peer audiences on AI since 2017. He practices servant leadership and advocates for technological innovation in Finance. He has successfully led multiple AI projects in finance. He is a member of Financial Executives International and Finance Alliance. His other talks have been on blockchain technology, Bitcoin, cybersecurity, and servant leadership.
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29 October 2026 10:00 - 10:45
Vibe coding live: Building a purchase order agent from scratch
Most CFOs have sat through an AI pitch. Far fewer have watched a fellow finance leader build something real, live, starting from nothing. Dave Sackett, VP Finance at Persimmon Technologies, will build a purchase order requisition agent on stage, using prompts the audience gives him in real time. No slides, nothing pre-built, whatever comes together is what comes together in the room. This isn't a vendor pitch dressed up as content. It's one finance leader showing exactly how he'd approach this himself, mistakes included, so you can judge for yourself whether it's worth trying with your own team. Key takeaways: - What it actually looks like when a finance leader builds something like this themselves, not a finished vendor product - Which prompts genuinely worked, and which needed several attempts - Whether this is worth trying with your own team, and what it would take
29 October 2026 11:15 - 12:00
Panel - The confidence architecture: What boards, CEOs, and investors actually need from finance
Boards and investors don't actually want to hear about AI. They want to hear about velocity, and CFOs are increasingly the ones expected to translate one into the other. This session moves past FTE savings as the measure of AI's value and into the metrics boards actually respond to: cycle time, decision speed, capital deployed faster. It's about what it takes to present agentic workflows in a way that builds confidence rather than raising more questions than it answers. Most sessions on AI ROI stop at productivity math. This one is about translation, turning technical capability into the language of trust that boards, CEOs, and investors actually respond to. Key takeaways: - A framework for reframing AI's value from FTE savings to the cycle-time and decision-speed metrics boards actually care about - What to say, and not say, to a board when presenting the results of agentic workflows - How to build the kind of confidence that gets the next investment approved, not just the current one explained