Future Finance

In this episode of Future Finance, hosts Paul Barnhurst and Glenn Hopper discuss how AI is reshaping finance technology, whether traditional SaaS platforms are at risk, and how CFOs should approach software decisions. They explore when to buy existing solutions, build custom workflows, or use AI to improve finance processes without replacing core systems.

In this episode, you will discover:

• How AI is changing the finance tech stack and challenging traditional SaaS.
• When finance teams should buy software or build custom solutions.
• What the Finance Stack Survey reveals about AI adoption.
• Why agentic AI differs from traditional automation.
• How data quality and integration affect AI success.

Paul and Glenn explain that AI can help finance teams automate tasks, connect systems, and access financial information faster. However, businesses still need dependable core software, clear data practices, and appropriate safeguards.

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:

[01:24] - Is SaaS at Risk?

[03:38] - Choosing Core Finance Systems

[05:52] - Buy vs. Build

[07:55] - Finance Stack Survey

[10:51] - Understanding Agentic AI

[13:57] - AI Adoption & Software Satisfaction

[18:36] - Data Plumbing & Integration Challenges

[20:52] - Survey Findings & Closing Thoughts

In this episode of Future Finance, Paul Barnhurst and Glenn Hopper discuss how AI is changing the finance technology stack and what it means for CFOs deciding whether to buy new software, build custom solutions, or improve their existing systems. They explore whether AI could disrupt traditional SaaS platforms, where agentic AI is delivering value, and why core financial systems remain essential.

In this episode, you will discover:

• Why AI is changing finance technology without replacing core systems.
• What the Finance Stack Survey reveals about AI adoption.
• The difference between agentic AI and traditional automation.
• When finance teams should buy software or build custom solutions.
• Why data quality, integration, and security matter for AI success.

Paul and Glenn emphasize that finance leaders should focus on solving real business problems rather than chasing new technology. The key is choosing reliable tools, improving data connectivity, and using AI where it delivers meaningful value.

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

[04:21] - Is SaaS at Risk?

[10:27] - Buy vs. Build: Filling the Gaps

[11:09] - Finance Stack Survey Findings

[14:00] - What Is Agentic AI?

[18:20] - AI Adoption and Software Satisfaction

[23:36] - Data and Integration Challenges

[29:41] - Custom AI Solutions

[36:17] - The Future Finance Stack

[42:51] - Closing Thoughts

In this episode of Future Finance, Paul Barnhurst and Glenn Hopper discuss why finance professionals should stop chasing every new AI model and focus instead on building strong processes, durable skills, and better workflows. They also explore the race toward AGI, AI guardrails, and how quickly the technology landscape is changing.

Paul and Glenn explain that the real advantage is not knowing every new model or benchmark. It is knowing how to use AI effectively, understand processes, and build systems that can adapt as the tools continue to evolve.

In this episode, you will discover:

• Why keeping up with every new AI model is becoming impossible.
• Why process design matters more than chasing the latest tool.
• How AI is changing the way finance professionals work.
• Which AI skills are likely to remain valuable over time.
• Why governance and guardrails matter as automation increases.

Paul and Glenn explain that finance professionals do not need to master every new AI release. Instead, they should choose useful tools, learn the fundamentals, and focus on building repeatable processes that can work across platforms.

Follow Glenn:

LinkedIn: https://www.linkedin.com/in/gbhopperiii

Follow Paul:

LinkedIn: https://www.linkedin.com/in/thefpandaguy

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:

[00:58] - The Race for AGI

[04:31] - AGI Risks, Regulation & Uncertainty

[07:12] - AI Is Moving Too Fast

[10:32] - Astra vs. Claude

[15:09] - Secret CFO’s Take on AI Updates

[21:38] - Wrap-Up

In this episode of Future Finance, Paul Barnhurst and Glenn Hopper discuss the accelerating pace of AI development and why trying to keep up with every new model is becoming a losing battle. They explore what finance professionals should focus on instead, including AI workflows, process design, data, governance, and automation.

Paul and Glenn also discuss how AI is changing the way finance teams work. As tools become more capable, they believe the lasting advantage will come from knowing how to structure processes, give clear instructions, manage AI-powered workflows, and apply human judgment where it matters most.

In this episode, you will discover:

• Why finance professionals should stop chasing every new AI model.
• Which AI skills are likely to remain valuable as tools continue to change.
• Why process thinking, data, and orchestration are becoming more important.
• What risks finance teams should consider when using vibe coding and automation.
• Why governance and human oversight still matter in AI-powered workflows.

Paul and Glenn explain that finance professionals do not need to constantly switch tools to gain value from AI. Instead, they should focus on building strong processes that can work across different platforms as the technology continues to evolve.

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] - Welcome

[02:21] - The Race for AGI

[08:28] - AI Is Moving Fast

[17:38] - Stop Chasing Models

[19:43] - Durable AI Skills

[25:03] - Data & Orchestration

[28:08] - Vibe Coding Risks

[32:18] - AI Governance

[34:42] - The Cost of AI

[42:07] - What to Focus On

[44:35] - Closing Thoughts

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

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

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

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

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

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/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

[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