The FP&A Guy Network

In this episode of Future Finance, Paul Barnhurst and Glenn Hopper speak with Ali Hussain, CEO and co-founder of Tabs, an AI-powered platform revolutionizing the revenue process for finance teams. Ali discusses how the traditional ERP systems have left revenue management behind, and how Tabs is changing the game by automating the full contract-to-cash cycle. He shares his insights on the complexity of revenue management, AI’s role in financial systems, and why understanding the data context is key to success in AI-powered finance tools.

Ali Hussain is the CEO and co-founder of Tabs, where he leads the development of AI-native solutions designed to automate the billing, collections, and revenue recognition process. With a background spanning product leadership at Google, strategy consulting at BCG, and public policy, Ali is at the forefront of the next wave of finance technology.

In this episode, you will discover:
How AI is transforming revenue management in finance
The importance of data context in AI-powered tools
Why traditional finance systems fail to address modern revenue models
How Tabs automates billing, collections, and revenue recognition

Ali Hussain shared invaluable insights into the future of finance, highlighting how AI is revolutionizing revenue management and financial operations. While AI brings immense potential for automation, human judgment remains crucial in making strategic decisions.

Follow Ali:
Website: https://www.tabs.com
Linkedin: https://www.linkedin.com/in/ali-hussain786/
YouTube: https://www.youtube.com/@tabsplatform

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
[03:00] – Legacy Finance Systems
[06:15] – Revenue Management Gaps
[09:00] – How Tabs Transforms Finance
[12:00] – AI in Billing & Rev Rec
[15:30] – Clean Data Importance
[19:00] – AI vs Human Judgment
[22:30] – The Future of AI
[25:00] – Complex Revenue Models
[29:00] – AI Challenges in Finance
[34:00] – Closing Thoughts on AI

In this episode of Financial Modeler’s Corner, Paul Barnhurst speaks with Shreya Bhatt about her journey in financial modeling and her experience working across infrastructure and project finance. Shreya shares real challenges she has faced, including rebuilding poorly structured models, and explains what makes a model reliable and easy to use. The conversation also covers modeling standards, practical use cases, and how financial models support real-world decisions.

Shreya Bhatt is a Manager at CrossBoundary Group with over eight years of experience in financial modeling and infrastructure finance. She works on project finance, portfolio modeling, and investment analysis, supporting decision-making across sectors like renewable energy and infrastructure.

Expect to Learn
What makes a financial model reliable and easy to use
Common mistakes that make models difficult to work with
How project finance models connect to real-world decisions
When to use different modeling standards like FAST and SMART
How AI fits into financial modeling today

Here are a few quotes from the episode:
A model can either be the most powerful tool or the most frustrating one.” – Shreya Bhatt
“AI can help us, but judgment and interpretation will always remain important.” – Shreya Bhatt

Shreya explains that strong financial models are built with clarity, structure, and consistency. She highlights that while tools and technologies like AI can speed up parts of the process, the real value comes from understanding the business, making sound assumptions, and delivering insights that support decision-making.

Follow Sherya:
Gmail: [email protected]
Linkedin: https://in.linkedin.com/in/-shreyabhatt-

Follow Financial Modeler's Corner:
LinkedIn Page- https://www.linkedin.com/company/financial-modeler-s-corner/
Newsletter - Subscribe on LinkedIn -https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984

Sign up for the Advanced Financial Modeler Accreditation today and receive 15% off by using the special show code ‘Podcast’.

Visit https://bit.ly/497oAqW and use the code “Podcast” to save 15% when you register.

In today’s episode:
[00:00] – Introduction
[02:48] – Worst Modeling Experience
[05:44] – Role at CrossBoundary
[07:35] – Favourite Model Types
[11:14] – Portfolio & Solar Models
[14:06] – FAST Certification Journey
[16:15] – FAST vs SMART Standards
[19:56] – Modeling Best Practices
[23:36] – AI in Financial Modeling
[28:52] – Career Lessons
[33:04] – Rapid Fire Insights
[36:56] – Final Advice

FP&A & AI Software Showcase: Explore Leading Tools
FP&A leaders are embracing AI, and we’re here to help. On May 21st, I’ll host the FP&A & AI Software Showcase, featuring FP&A planning and AI tools like Concourse, Sapien, Drivetrain, and Una AI. Join us for live demos, insights, and no sales pressure.
Register today: www.thefpandaguy.com/fpa-software-showcase
In this episode of FP&A Unlocked, Paul Barnhurst speaks with Glenn Snyder about the current state of FP&A, focusing on career growth, hiring challenges, and how the role continues to evolve. Glenn shares his perspective on why networking matters more than ever in today’s job market, how professionals can stand out without relying only on certifications, and what it really takes to move up in FP&A. They also discuss the shift toward strategic partnership, the importance of understanding business drivers, and how leadership and empathy shape long-term success

Expect to Learn:
Why networking is the most effective way to find opportunities
How to stand out in a competitive job market
The shift of FP&A from reporting to strategic partnership
Why understanding business drivers is critical in FP&A

Here are a few relevant quotes from the episode:
"If you can't figure out how to get other people to move with you, your career is not going to go anywhere." — Glenn Snyder
“Leadership isn’t about telling people what to do, it’s about getting them to follow you.” – Glenn Snyder

Glenn explains that career growth in FP&A is no longer about following a fixed path or relying on credentials. It comes from building relationships, gaining real experience, and understanding how the business works. He also highlights that strong professionals go beyond numbers by connecting financial results to real business drivers and supporting better decisions.

Follow Glenn:
LinkedIn: https://www.linkedin.com/in/glenntsnyder/
Website: https://www.riveron.com

Earn Your CPE Credit
For CPE credit, please go to earmarkcpe.com, listen to the episode, download the app, answer a few questions, and earn your CPE certification. To earn education credits for the FPAC Certificate, take the quiz on earmark and contact Paul Barnhurst for further details.

In Today’s Episode
[02:29] – FP&A Education Gap
[06:34] – Certifications vs Experience
[09:56] – Networking for Jobs
[11:22] – Building Personal Brand
[12:16] – Volunteering & Experience
[17:45] – FP&A as Strategic Partner
[22:19] – Finance & Business Roles
[24:03] – Empathy in Leadership
[29:46] – Career Growth Strategy
[33:14] – Leadership vs Execution
[38:12] – Drivers & Scenario Planning
[44:50] – People Management Lessons
[52:44] – Ethics & Transparency

In this episode of Future Finance, Paul Barnhurst and Glenn Hopper talk with David Ingraham, founder and CEO of HyperPerfect. David explains why AI works best in finance when it is used step by step, with clear context and human review. He also shares why Excel is still central to finance work and how better AI tools can help teams move faster without losing control.

David Ingraham is the CEO and founder of HyperPerfect, a financial reporting and accounting platform that integrates powerful AI directly into Excel. With nearly 20 years of experience in private equity, David has worked on deals totaling over $1.5 billion. He is also passionate about educational initiatives, serving as board president of Aim High, a Bay Area nonprofit that provides free summer education to nearly 2,000 students annually.

In this episode, you will discover:
Why finance teams are still slow to adopt AI
Why context matters when using AI in Excel
Why AI should be treated like a teammate, not a shortcut
How breaking work into smaller steps leads to better results
Where AI helps most in finance today

David Ingraham is the founder and CEO of HyperPerfect, a company that brings AI tools into Excel. He spent nearly 20 years in private equity and has worked on deals worth more than $1 billion. He also serves as board president of Aim High, a Bay Area nonprofit that provides free summer education to students.

Follow David:
LinkedIn: https://www.linkedin.com/in/dsingraham/
Website: https://www.hyperperfect.com

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:
[00:22] - David’s background
[02:49] - What HyperPerfect does
[06:01] - Why finance struggles with AI
[07:36] - Why context matters
[12:23] - What AI agents are good at today
[13:08] - Using AI as a partner
[17:51] - Building models step by step
[19:20] - Productivity gains and closing thoughts

In this episode of The Mod Squad, Paul Barnhurst, Ian Schnoor, and Giles Male share their real experiences using AI in financial modelling. They cut through the hype and discuss what AI actually does well, where it still struggles, and how professionals should be thinking about using it today. From building models to handling workflows, the conversation highlights both the value and the limitations of AI tools in real work.

Expect to Learn
Where AI actually helps in finance and modelling work
Why most “one-click solution” claims are unrealistic
The importance of checking and guiding AI outputs
How instructions and structure improve AI results

Here are a few quotes from the episode:
“It’s not a one-click solution. You still have to check everything.” – Giles Male
“You will have to understand every line to guide AI properly.” – Ian Schnoor

AI is powerful, but it’s not a shortcut to good work. It still needs guidance, structure, and strong fundamentals. The people who benefit most will be the ones who understand both the tools and the work behind them. For now, the best approach is simple: use it, test it, and don’t trust it blindly.

Follow Ian:
LinkedIn - https://www.linkedin.com/in/ianschnoor/

Follow Giles:
LinkedIn - https://www.linkedin.com/in/giles-male-30643b15/

In today’s episode:
[02:06] – Current thoughts on AI after recent progress
[03:45] – Daily use of AI and time savings
[05:00] – Mental fatigue and keeping up with AI changes
[08:03] – Calling out AI hype and unrealistic claims
[12:30] – AI training challenges and business demand
[17:57] – “Eye of the storm” phase of AI development
[24:13] – Testing AI-built financial models
[30:52] – Why fixing AI models can take longer than building from scratch
[35:15] – Responsibility to challenge misleading AI claims
[38:41] – Using instructions to improve AI output
[42:59] – Final thoughts on AI, stress, and the future