Future Finance

In this episode of Future Finance, Paul Barnhurst speaks with Glenn Hopper about his new book, The AI-Ready CFO, and what finance leaders need to do to successfully adopt AI. Glenn explains why CFOs must take a leadership role in AI strategy, how finance can balance innovation with risk management, and why successful AI implementation starts with data readiness, process improvement, and strong governance.In this episode, you will discover:Why CFOs should lead AI adoption.How finance can balance AI, speed, and risk.Why data readiness is essential before AI implementation.How to build trust through governance and transparency.How to create effective AI pilots and scale success.Glenn explains that AI adoption is not just about choosing new tools. Finance leaders need to understand their current processes, establish a baseline, identify opportunities, run focused pilots, and use evidence to decide what should be scaled. Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiGlenn’s new book: The AI-Ready CFOhttps://robocfo.ai/ai-ready-cfo Follow Paul:LinkedIn: https://www.linkedin.com/in/thefpandaguyDisclosure: Portions of this episode (such as the introduction or promotional segments) use AI-generated voice narration produced under human editorial review. Future Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today’s Episode:[00:00] - Trailer: The AI-Ready CFO[03:54] - The AI-Ready CFO Explained[08:59] - The Changing CFO Role[13:27] - Why Finance Should Lead AI[16:46] - AI Change Management[21:32] - Building an AI Strategy[27:39] - Trust, Governance & AI[32:32] - Transparent AI Processes[36:30] - AI Build vs. Buy[40:02] - Building AI Agents[43:21] - Closing Thoughts

In this episode of Future Finance, Paul Barnhurst speaks with Glenn Hopper about his new book, The AI-Ready CFO, and how finance leaders can successfully navigate AI adoption. Glenn explains why CFOs need to take ownership of AI strategy, how to balance speed with risk, and why strong governance, data readiness, and change management are essential for building trust in AI. In this episode, you will discover:Why CFOs need to play a leading role in AI adoption.How finance teams can balance AI speed with governance and risk management.Why data readiness and process documentation are critical before implementing AI.How to build trust in AI through transparency, audit trails, and human oversight.How CFOs can create effective AI pilot programs and scale successful initiatives.AI adoption is not just about selecting new tools. Glenn explains that successful implementation starts with understanding current processes, improving data readiness, creating measurable baselines, and building systems that allow people to trust AI outputs. For CFOs, the future role is not becoming an AI engineer, but becoming the leader who ensures AI is used responsibly and effectively across the organization. Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiGlenn’s new book: The AI-Ready CFOhttps://robocfo.ai/ai-ready-cfo Follow Paul:LinkedIn: https://www.linkedin.com/in/thefpandaguyDisclosure: Portions of this episode (such as the introduction or promotional segments) use AI-generated voice narration produced under human editorial review. Future Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today’s Episode:[00:00] - Trailer: The AI-Ready CFO[03:54] - The AI-Ready CFO Explained[08:59] - The Changing CFO Role[13:27] - Why Finance Should Lead AI[16:46] - AI Change Management[21:32] - Building an AI Strategy[27:39] - Trust, Governance & AI[32:32] - Transparent AI Processes[36:30] - AI Build vs. Buy[40:02] - Building AI Agents[43:21] - Closing Thoughts

In this episode of Future Finance, Paul Barnhurst and Glenn Hopper discuss AI fatigue and why finance professionals should focus less on chasing new models and more on using AI effectively. They share practical ways to improve AI results through better instructions, reference files, context, and data foundations.In this episode, you will discover:Why AI fatigue is becoming a real challenge.Why prompting alone is no longer enough.How context and reference files improve AI results.Why clean data and clear KPIs matter.How finance teams can start using AI more effectively.Paul and Glenn emphasize that finance teams do not need to build complicated systems immediately. Starting with clear data definitions, documented sources, and simple context files can already make AI much more useful.Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn: https://www.linkedin.com/in/thefpandaguyDisclosure: Portions of this episode (such as the introduction or promotional segments) use AI-generated voice narration produced under human editorial review.Future Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[00:00] - Introduction[01:07] - AI Fatigue[04:09] - Using AI Effectively[05:44] - The Changing Role of Prompting[07:40] - AI for Financial Modelling[11:37] - AI and Finance Data[14:47] - Building a Data Foundation[18:10] - Practical AI Tips[19:08] - Closing Thoughts

In this episode of Future Finance, hosts Paul Barnhurst and Glenn Hopper discuss AI fatigue, better ways for finance teams to use AI, and the growing challenge of forecasting AI costs. They explore why finance leaders should focus less on chasing new models and more on building the data, context, and workflows needed to get real value from AI.In this episode, you will discover:Why finance teams should stop chasing every new AI model.Why context is becoming more important than prompting alone.How better KPIs and data foundations improve AI results.How organizations can forecast and manage AI token costs.Why AI success should be measured by business outcomes.Paul and Glenn explain why effective AI adoption isn't about using the most tokens or knowing every new tool. It's about using AI to help finance make better, faster decisions.Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn: https://www.linkedin.com/in/thefpandaguyDisclosure: Portions of this episode (such as the introduction or promotional segments) use AI-generated voice narration produced under human editorial review.Future Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today’s Episode:[00:00] – Trailer[03:17] – AI Fatigue & Model Overload[09:38] – Beyond Prompt Engineering[16:03] – Building Better AI Context[24:29] – Organizing Finance Knowledge[27:29] – Token Maxing & AI Costs[32:06] – Forecasting Token Spend[38:23] – Focusing on Business Value[41:43] – Closing Thoughts

In this episode of Future Finance, hosts Paul Barnhurst and Glenn Hopper welcome Alex Curran, CEO of Aptitude Software, to discuss AI-native ERP, the changing role of CFOs, and how finance teams can prepare for AI adoption. Alex explains why strong data foundations, flexible architecture, and real-time finance systems are becoming essential.Alex Curran is the CEO of Aptitude Software, a company with decades of experience building finance solutions for complex organizations. After more than 12 years at Aptitude, Alex became CEO in late 2023 and now leads the company’s focus on AI-native finance technology, including the Fynapse platform.In this episode, you will discover:Why CFOs are becoming strategic partners in business decisions.Why clean, detailed data is essential for effective AI adoption.What makes an ERP system truly AI-native.How CFOs can evaluate legacy and newer AI-native ERP platforms.Why flexible AI models and real-time finance are becoming more important.Alex explains that successful AI adoption requires more than adding AI features to existing finance systems. Organizations need the right data and architecture to support changing AI technologies while meeting complex finance requirements. Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn: https://www.linkedin.com/in/thefpandaguyFollow Alex:Website: http://fynapse.app/LinkedIn: https://www.linkedin.com/in/alex-curran-9aa593b/Future Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today’s Episode:[00:56] – Meet Alex Curran[02:32] – Aptitude Software and Fynapse[05:16] – The Changing CFO Role[07:03] – Finance’s Data Problem[10:53] – AI-Native Finance Systems[14:33] – Evaluating ERP Options[17:32] – The Future of AI-Native ERP[18:59] – Closing Thoughts