Future Finance

Future Finance is a podcast that delves into the transformative world of finance hosted by Paul Barnhurst, aka The FP&A Guy, and Glenn Hopper, emphasizing the impact of technology and artificial intelligence within the finance profession. Each episode brings listeners the latest news on AI and financial technology, insightful discussions, expert analyses, and forward-thinking ideas, exploring how AI and technological innovations are reshaping corporate finance as we know it. The podcast will become a must-listen for anyone interested in the evolving intersection of technology and finance

Future Finance is a news podcast hosted by Glenn Hopper & Paul Barnhurst, with 113 episodes on record and a Required Pod Score of 80.

Glenn Hopper & Paul Barnhurst hosts Future Finance, a news show with 113 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #112

  AI Can Give You the Right Answer to the Wrong Question with Matija Nakić

  Sep 30, 202619 min

  In this episode of Future Finance, hosts Glenn Hopper and Paul Barnhurst sit down with Matija Nakic, CEO and Co-founder of Farseer, to discuss how AI is changing financial planning, enterprise software, and decision-making. Matija shares why asking the right questions matters, how AI can accelerate planning workflows, and why strong data foundations remain essential. Matija Nakic is the CEO and Co-founder of Farseer, an AI-native SaaS platform for business modeling, planning, and analysis. With a background in computer engineering, an MBA, and experience across B2B enterprise software, she progressed from developer to product director before co-founding Farseer. In this episode, you will discover: Why asking the right questions matters with AI. How finance can move toward a decision culture. Why clean data and context still matter. How AI can speed up modeling and planning. When Excel still makes sense for finance teams. Matija also pushes back on the idea that Excel is obsolete. She argues that spreadsheets remain excellent for rapid modeling and individual analysis, but become harder to manage when collaboration, large datasets, version control, and auditability enter the picture Follow Matija: LinkedIn: https://hr.linkedin.com/in/matija-nakic Company: https://www.farseer.com/ Follow Glenn: LinkedIn: https://www.linkedin.com/in/gbhopperiii Follow Paul : LinkedIn: https://www.linkedin.com/in/thefpandaguy Disclosure: 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: [02:18] - Why Farseer Was Built [04:12] - Solving Complex Enterprise Planning [05:11] - AI, Vibe Coding & Enterprise Software [06:57] - Building Farseer’s AI Modeler [10:05] - How AI Accelerates Development [11:33] - Building for Technical Finance Users [12:41] - Why Asking the Right Questions Matters [15:37] - AI Context, Guardrails & Governance [17:30] - Why Strong Data Foundations Still Matter [18:23] - Closing Thoughts

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  Episode #111

  AI, Decision Culture, and the Future of Enterprise Finance with Matija Nakic

  Sep 23, 202642 min

  In this episode of Future Finance, hosts Glenn Hopper and Paul Barnhurst sit down with Matija Nakic, CEO and Co-founder of Farseer, to discuss how AI is changing financial planning, enterprise software, and decision-making. Matija shares why asking better questions matters, how finance teams can build stronger AI workflows, and where Excel still fits in modern planning. Matija Nakic is the CEO and Co-founder of Farseer, an AI-native SaaS platform for business modeling, planning, and analysis. With a background in computer engineering, an MBA, and experience across B2B enterprise software, she has progressed from developer to product director and now leads Farseer’s mission to improve how financial professionals plan, model, and make decisions. In this episode, you will discover: Why asking the right questions matters with AI. How finance can build a stronger decision culture. Why clean data and governance still matter. How AI can speed up planning and forecasting. When to use Excel versus planning software. AI can dramatically accelerate finance work, but speed alone does not create better decisions. Matija explains that effective AI adoption still depends on fundamentals such as clean data, consistent definitions, connected data sources, business logic, and human judgment Follow Matija: LinkedIn: https://hr.linkedin.com/in/matija-nakic Company: https://www.farseer.com/ Follow Glenn: LinkedIn: https://www.linkedin.com/in/gbhopperiii Follow Paul : LinkedIn: https://www.linkedin.com/in/thefpandaguy Disclosure: 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 [05:22] - Why Farseer Was Built [08:35] - AI and the Future of Enterprise Software [13:30] - Building Faster with AI [17:24] - Why Asking the Right Questions Matters [22:55] - The Three Levels of AI Adoption [24:57] - Building a Decision Culture [32:04] - When Excel Is Still the Right Tool [35:57] - Governance, Context & Audit Trails [36:37] - Rapid-Fire Questions [39:21] - Turning Frustration with Planning Into Farseer [40:59] - Closing Thoughts

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  Episode #110

  Why CFOs Should Lead AI Adoption Instead of Leaving It Solely to IT

  Sep 16, 202619 min

  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/gbhopperiii Glenn’s new book: The AI-Ready CFO https://robocfo.ai/ai-ready-cfo Follow Paul : LinkedIn: https://www.linkedin.com/in/thefpandaguy Disclosure: 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

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  Episode #109

  The CFO Should Own AI, Not IT | Glenn Hopper on The AI-Ready CFO

  Sep 9, 202647 min

  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/gbhopperiii Glenn’s new book: The AI-Ready CFO https://robocfo.ai/ai-ready-cfo Follow Paul : LinkedIn: https://www.linkedin.com/in/thefpandaguy Disclosure: 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

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  Episode #108

  Why Better Workflows Matter More Than Better Prompts

  Sep 2, 202619 min

  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/gbhopperiii Follow Paul : LinkedIn: https://www.linkedin.com/in/thefpandaguy Disclosure: 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

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