Future Finance

In this episode of Future Finance, hosts Paul Barnhurst and Glenn Hopper explore how leaders can cut through the hype around artificial intelligence and focus on real-world impact. The conversation dives into why so many AI initiatives fail, how cognitive biases affect AI adoption, and why finance professionals must learn to ask better questions before deploying models.

John Thomas is the Founder and CEO of the Global Institute of Data Science (GIDS), a consulting and professional development organization focused on helping organizations successfully implement AI and data science initiatives. He serves as a Fractional Chief AI Officer for Fortune 500 companies and teaches AI and machine learning courses at Caltech CTME and UC San Diego Extended Studies.

In this episode, you will discover:

1. Why 85% of AI projects fail and how to avoid
2. The difference between AI hype and real implementation
3. How augmented intelligence improves human decision-making
4. Why asking the right questions about AI models matters most
5. How AI can help with risk analysis and financial decision-making

This episode highlights that successful AI adoption is not about chasing the latest technology trends but about asking better questions, understanding assumptions, and focusing on real business problems. As AI continues to evolve, finance leaders who combine human judgment with intelligent systems will be best positioned to turn AI from hype into measurable results.

Follow John:

GIDS: https://gidsco.substack.com

LinkedIn: https://www.linkedin.com/in/john-thomas-foxworthy-m-s-data-science-1718073/

Future Alpha Event: https://www.alphaevents.com/events-futurealphaglobal/agenda-page/filter?_gl=1*1j0347f*[…]ovIhoCWOYQAvD_BwE&gbraid=0AAAAAomEzrlLzh-epjUJjbfXNnASlChga

Follow Glenn:

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

Follow Paul:

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

Follow QFlow.AI:

Website - https://bit.ly/4i1Ekjg

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:

[03:05] – Meet John Thomas

[04:11] – Augmented intelligence explained

[11:21] – Global Institute of Data Science

[15:18] – Why AI projects fail

[21:29] – Understanding AI models

[24:45] – AI in portfolio risk analysis

[30:16] – Best advice for finance leaders

[32:15] – Rapid-fire questions & wrap-up

In this highlights episode of Future Finance, hosts Paul Barnhurst and Glenn Hopper chat with Riya Grover about how AI is transforming order-to-cash workflows. Riya shares insights into billing automation, revenue operations, and the evolving role of finance teams. She also discusses her entrepreneurial journey and the evolution of Sequence, the first agentic AR platform, which is revolutionizing B2B pricing and contracts.

Riya Grover is the Co-founder and CEO of Sequence, an AI platform automating accounts receivable for B2B companies. Backed by a16z with $40M raised, Sequence streamlines quoting, billing, invoicing, and revenue recognition. Before Sequence, Riya founded Feedr, a venture-backed company acquired by Compass Group in 2020. She holds an MBA from Harvard and a BA from Oxford University.

In this episode, you will discover:

1. The role of AI in automating order-to-cash workflows
2. How Sequence helps B2B companies with custom pricing and revenue operations
3. Insights into building and scaling a venture-backed company
4. Why talent density is key to scaling businesses

Riya explains how complex contracts, usage-based pricing, and custom deal structures create massive billing challenges for growing companies. Sequence solves this by combining deterministic billing foundations with AI-powered workflow agents.

Follow Riya:

LinkedIn: https://www.linkedin.com/in/riya-grover-a22a4822/

Website: https://www.sequencehq.com/

Sequence Series A Fundraising: Announcement

Follow Glenn:

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

Follow Paul:

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

Follow QFlow.AI:

Website - https://bit.ly/4i1Ekjg

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:

[00:26] – Riya’s background

[04:05] – Challenges of a Two-Sided Marketplace

[05:57] – Building Sequence: AI for AR

[10:00] – Human Oversight vs. AI Automation

[12:52] – Revolutionizing Billing & Invoicing

[14:18] – Defining Workflow Rules for AI

[19:23] – Final Thoughts

In this episode of Future Finance, hosts Paul Barnhurst and Glenn Hopper sit down with Riya Grover to explore how AI is transforming order-to-cash workflows. The conversation explores billing automation, revenue operations, and the evolving role of finance teams. Riya shares her entrepreneurial journey and how Sequence is building the first agentic AR platform. This episode is packed with practical insights for modern finance leaders navigating AI adoption.

Riya Grover is the Co-founder and CEO at Sequence. Sequence, backed by a16z with $40M raised, is building the first agentic platform for accounts receivable. The company helps B2B businesses automate quoting, billing, invoicing, and revenue recognition, especially for complex pricing and custom contracts. Prior to Sequence, Riya founded Feedr, a venture-backed company that exited to Compass Group in 2020. She holds an MBA from Harvard Business School and a BA in Economics and Management from Oxford University.

In this episode, you will discover:

1. Why building a two-sided marketplace is incredibly difficult
2. How modern B2B pricing models break traditional billing systems
3. The difference between deterministic systems and generative AI in finance
4. Why human-in-the-loop design is critical for financial AI agents
5. What the future finance tech stack will look like in the next five years

Riya explains how complex contracts, usage-based pricing, and custom deal structures create massive billing challenges for growing companies. Sequence solves this by combining deterministic billing foundations with AI-powered workflow agents. The discussion highlights where AI should and should not be used in finance operations. Trust, auditability, and human oversight remain central to successful AI implementation.

Follow Riya:

LinkedIn: https://www.linkedin.com/in/riya-grover-a22a4822/

Website: https://www.sequencehq.com/

Sequence Series A Fundraising: Announcement

Follow Glenn:

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

Follow Paul:

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

Follow QFlow.AI:

Website - https://bit.ly/4i1Ekjg

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:

[02:05] – Riya’s Startup Journey

[06:55] – Marketplace Challenges

[08:28] – Modern Billing Gaps

[10:46] – AI in Finance

[13:10] – Human-in-the-Loop Design

[18:35] – ML vs. Gen AI

[24:26] – Series A & Scaling

[30:11] – Future Finance Stack

[35:15] – Rapid Fire & Wrap-Up

In this episode of Future Finance, hosts Paul Barnhurst and Glenn Hopper discuss their latest experiences in the finance world. They explore how tools like Claude and Copilot are transforming workflows, and Glenn shares how he tackled personal finance challenges, from tracking expenses to handling journal entries. Glenn also highlights a real-world example of using these tools for bookkeeping and expense tracking, giving listeners insights into how these technologies can streamline financial tasks.

In this episode, you will discover:

1. How tools are changing workflows in finance and accounting
2. Real-world use of tools for bookkeeping and expense tracking
3. The speed of technology development and its impact on financial tasks
4. How small businesses can leverage Excel for planning and reporting
5. The challenges and benefits of using financial assistants for business workflows

Paul and Glenn discuss how tools like Claude and Copilot are transforming finance workflows, saving time, and improving efficiency. The future of finance is evolving rapidly, and businesses of all sizes should embrace these innovations to stay ahead.

Follow Glenn:

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

Follow Paul:

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

Follow QFlow.AI:

Website - https://bit.ly/4i1Ekjg

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:

[00:45] – Glenn's Recent AI Breakthroughs

[02:24] – Frustration with ChatGPT & Switching to Claude

[04:22] – Using Claude for Personal Finance

[07:00] – Organizing Expenses & Journal Entries

[09:45] – Claude’s Role in Financial Workflow Automation

[11:15] – Copilot vs. Claude: A Quick Comparison

[14:00] – AI’s Influence on Financial Planning Tools

[16:45] – Rapid AI Advancements and Global Competition

[19:15] – Closing Thoughts & Final Remarks

In this episode of Future Finance, Paul Barnhurst and Glenn Hopper explore how AI tools like Claude, Copilot, and Excel agents are transforming financial workflows in 2026. As the finance industry continues to evolve, AI is playing an increasingly crucial role in automating routine tasks, improving accuracy, and boosting efficiency.

Paul and Glenn discuss their firsthand experiences with AI-driven tools, from tracking expenses and managing journal entries to building financial models. They also dive into the ways small and medium businesses are utilizing AI-powered Excel agents to streamline their financial processes without the need for expensive, traditional planning tools.

In this episode, you will discover:

1. The impact of AI agents in finance and how they simplify workflows.
2. Personal experiences with Claude and Copilot in real-world finance tasks.
3. How to integrate AI into your finance team’s daily tasks.
4. The benefits and challenges of AI-powered automation in finance.

Paul and Glenn emphasize the importance of embracing AI in finance, highlighting how tools like Claude, Copilot, and Excel agents are transforming everyday workflows. They encourage finance professionals to experiment with AI, even if it means starting small.

Follow Glenn:

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

Follow Paul:

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

Follow QFlow.AI:

Website - https://bit.ly/4i1Ekjg

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] – AI’s Role in Finance

[03:47] – AI Agents in Excel

[06:12] – Claude vs. Copilot

[09:27] – Automating Expenses & Journal Entries

[15:56] – AI for Financial Models

[21:21] – Future of AI in Small Business Finance

[26:26] – Workflow Automation in Finance

[35:28] – AI & Human Collaboration

[39:31] – Experimenting with AI in Finance

[41:45] – Data Quality & Governance

[43:07] – Key Takeaway

In this episode of Future Finance, hosts Paul Barnhurst and Glenn Hopper talk with Kevin Thomas and Drew Hyatt, co-founders of Omniga, about solving persistent issues in bookkeeping and the monthly close process for small and mid-sized businesses. They discuss how finance leaders often struggle with unreliable data and how Omniga is creating a more structured, review-ready accounting workflow.

Kevin Thomas brings a background in corporate FP&A and a CFA perspective. His hands-on experience with messy books and data integrity problems in SMBs led him to co-found Omniga. Drew Hyatt is a technology leader with a background in FinTech integrations and data pipelines. He previously worked in construction finance and medical supply chains, building systems that manage high-volume, rule-based transactions.

In this episode, you will discover:

1. Why clean financial data is essential for any finance function to scale.
2. What makes SMB accounting workflows difficult and how Omniga is addressing it.
3. How Omniga uses automation to classify, normalize, and escalate accounting entries.
4. The structure of a scalable, review-focused operating system for fractional CFOs.

Kevin and Drew share how Omniga is tackling the core challenges of bookkeeping and monthly close for SMBs. Their approach brings structure, control, and scalability to finance operations where it’s needed most.

Follow Kevin:

LinkedIn: https://www.linkedin.com/in/kevin-a-thomas/

Company: https://www.linkedin.com/company/omniga-ai/

Follow Drew:

LinkedIn: https://www.linkedin.com/in/drew-a-hyatt/

Follow Glenn:

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

Follow Paul:

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

Follow QFlow.AI:

Website - https://bit.ly/4i1Ekjg

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:

[00:15] - Meet Kevin and Drew

[01:28] - Why Omniga Started

[04:38] - Drew’s Tech Background

[07:04] - The Name “Omniga”

[10:33] - Controlling AI Output

[13:57] - Guardrails and Escalation

[16:18] - Final Thoughts

In this episode of Future Finance, hosts Paul Barnhurst and Glenn Hopper sit down with Kevin A.Thomas and Drew Hyatt, the co-founders of Omniga, to discuss the often-overlooked but critical challenges facing small business finance teams. While enterprise companies get most of the attention, Kevin and Drew are focused on the backbone of the economy, businesses under $30 million in revenue—and the unique struggles they face when it comes to closing the books, managing data, and generating strategic insight.

Kevin A.Thomas, CFA, is the founder of Omniga and a seasoned strategic finance leader focused on scaling digital businesses. Kevin is passionate about rebuilding the back office to help businesses make smarter decisions, faster. Drew Hyatt is the Co-Founder and CTO of Omniga. He plays a key role in architecting Omniga’s infrastructure, translating complex workflows into scalable technology for finance teams.

In this episode, you will discover:

1. Why clean books are the foundation for strong financial decisions
2. The hidden risks in small business bookkeeping and how to fix them
3. The difference between replacing tasks and supporting human judgment
4. How to expand from bookkeeping to full finance strategy support
5. How to structure a finance workflow that scales with your business

Kevin and Drew leave us with a clear message: better finance starts with a stronger foundation. By focusing on clean books and scalable workflows, Omniga is reshaping how small businesses manage finance. It’s not about replacing people, it’s about empowering them to do more with less.

Join hosts Glenn and Paul as they unravel the complexities of AI in finance.

Follow Kevin:

LinkedIn: https://www.linkedin.com/in/kevin-a-thomas/

Company: https://www.linkedin.com/company/omniga-ai/

Follow Drew:

LinkedIn: https://www.linkedin.com/in/drew-a-hyatt/

Follow Glenn:

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

Follow Paul:

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

Follow QFlow.AI:

Website - https://bit.ly/4i1Ekjg

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

[03:39] – Why They Started Omniga

[07:11] – Drew’s Tech Journey

[09:28] – What "Omniga" Means

[11:26] – Rules vs. Suggestions

[14:33] – How the Workflow Scales

[19:28] – Above the Ledger

[25:40] – From Inputs to Entries

[29:50] – Real-World Use Cases

[35:05] – When to Add FP&A

[37:45] – Closing Fun Segment

In this episode of Future Finance, hosts Paul Barnhurst and Glenn Hopper discuss the AI landscape and how CFOs and finance leaders should approach AI in 2026. Reflecting on the developments of 2025, they explore how AI adoption is progressing at the individual and company levels and discuss the surprises and challenges they've encountered in the AI space.

Paul and Glenn discuss how individuals have become far more comfortable using AI tools in their own work, while companies as a whole have moved much more slowly. Topics include ongoing data quality problems, hesitation around governance and security, and why many organizations still struggle to integrate AI into core systems and workflows.

In this episode, you will discover:

1. The current state of AI adoption by individuals and companies.
2. Surprising shifts in AI companies like OpenAI and Microsoft in 2025.
3. The growing role of specialized AI models and their potential impact on industries like finance.
4. Predictions for the future of AI in 2026, including advancements in LLMs and robotics.

Glenn and Paul discussed the evolving AI landscape and its impact on finance, offering insights into key developments and predictions for 2026. They highlighted the challenges, growth, and opportunities AI presents for finance leaders and businesses.

Follow Glenn:

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

Follow Paul:

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

Follow QFlow.AI:

Website - https://bit.ly/4i1Ekjg

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:

[00:15] - Reflections on AI in 2025

[05:07] - Paul’s Surprises on AI’s Progress

[11:05] - OpenAI’s Consumer Focus

[13:23] - Predictions for Specialized Models

[14:51] - AI and Robotics

[17:20] - Small vs Large Models

[18:28] - Closing Thoughts on AI in Finance

In this first episode of Future Finance for 2026, hosts Paul Barnhurst and Glenn Hopper take time to reflect on how AI actually showed up in finance over the past year, and what that means going forward. Without a guest, the conversation focuses on real experiences, observations, and lessons from working directly with finance teams, CFOs, and operators who are navigating AI adoption day to day.

Paul and Glenn discuss how individuals have become far more comfortable using AI tools in their own work, while companies as a whole have moved much more slowly. Topics include ongoing data quality problems, hesitation around governance and security, and why many organizations still struggle to integrate AI into core systems and workflows. They also share their thoughts on notable developments from 2025, including OpenAI’s shift toward consumer use, Microsoft Copilot’s mixed results, Google Gemini’s rapid improvement, and Nvidia’s continued growth.

In this episode, you will discover:

1. How AI adoption differs between individuals and organizations
2. Why poor data quality still limits many finance teams
3. What recent changes from OpenAI, Microsoft, Google, and Nvidia suggest
4. Where Microsoft Copilot works well today and where it falls short
5. Why automation and basic app-building are becoming more important

Paul and Glenn share concrete examples from Excel, Outlook, reporting, and close processes. They also emphasize that banning AI use is no longer realistic and that clear guidelines matter more than strict restrictions.

Join hosts Glenn and Paul as they unravel the complexities of AI in finance.

Follow Glenn:

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

Follow Paul:

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

Follow QFlow.AI:

Website - https://bit.ly/4i1Ekjg

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:

[02:47] – How Individuals vs. Companies Used AI in 2025

[06:12] – OpenAI, Monetization, and Market Signals

[09:27] – Google Gemini’s Turnaround

[15:56] – Big Models vs. Specialized Tools

[21:21] – Consumer AI and Platform Control

[26:26] – Real Copilot Use Cases in Excel

[35:28] – What Finance Professionals Should Focus on in 2026

[39:31] – What Finance Leaders Need to Do Now

[41:45] – Automation, Vibe Coding, and What’s Next

[43:07] – Final Thoughts and Closing

In this episode of Future Finance, hosts Paul Barnhurst and Glenn Hopper sit down with Sasha Orloff, CEO of Puzzle, to discuss the future of accounting and how AI is poised to transform the finance industry. Sasha Orloff shares his journey from founding LendUp and Mission Lane to building Puzzle, an innovative accounting software platform designed to solve the industry’s most pressing challenges.

Sasha Orloff is the CEO of Puzzle, a modern accounting software platform focused on building the future of finance. Before Puzzle, Sasha Orloff founded LendUp and Mission Lane, which both scaled to hundreds of millions in revenue. He has a deep background in finance, technology, and AI, and his insights are helping to shape the next wave of innovation in the industry.

In this episode, you will discover:

1. The challenges of traditional accounting systems and outdated software
2. How AI and predictive analytics can streamline financial tasks and improve decisions
3. The need for an evolving general ledger and the role of blockchain in enhancing transparency
4. How AI reduces errors and provides more accurate insights for finance professionals
5. The future of accounting and how AI will enable faster, smarter decision-making

Sasha Orloff explains how Puzzle is addressing the foundational issues with traditional accounting software by focusing on trust, transparency, and flexibility. He also shares his thoughts on the importance of building the right data infrastructure to enable AI-driven insights in finance.

Join hosts Glenn and Paul as they unravel the complexities of AI in finance.

Follow Sasha:

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

Company: https://www.linkedin.com/company/puzzlefin/

Follow Glenn:

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

Follow Paul:

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

Follow QFlow.AI:

Website - https://bit.ly/4i1Ekjg

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:

[01:00] - Meet Sasha Orloff

[03:30] - The Problem with Traditional Accounting Software

[06:00] - The Future of the General Ledger and Data Transparency

[10:30] - How AI Enhances Finance and Accounting Tasks

[12:45] - Blockchain’s Role in Financial Trust

[17:30] - The Role of AI in Business Decision-Making

[20:00] - How Puzzle is Revolutionizing Financial Software

[27:00] - AI and the Democratization of Data Science

[33:00] - Lightning Round: Fun Personal Questions