AI is changing how nearly every business operates, and finance is no exception. On Wednesday, October 21, Monk, an AI accounts receivable company, will host Net 30, an applied AI summit on the future of finance in the age of automation, at The Times Center, 242 West 41st Street in New York. The program runs from 5 to 8:30 p.m.
The summit will bring together about 150 CFOs, operators, founders, and researchers. The audience is not limited to Fortune 500 executives. It also includes people in entry-level roles and those just starting their careers in finance, whose jobs will change as much as anyone’s.
The evening will host discussions on how cash flow is the new growth metric, the evolution of the strategic finance role, and how firms can secure a competitive advantage through thoughtful AI deployment.
Interest in AI among finance teams is high, but results vary. In a Gartner survey of 183 CFOs, 84% of finance organizations had deployed AI or planned to, and 7% reported a high impact.
“We’re way past the stage of ‘let’s try some AI and pilot a thing,’” said George Kurdin, co-founder and CEO of Monk. “Now it’s about hard ROI, and hard ROI is top line, bottom line or margins. Time savings aren’t that impressive anymore. If you make someone five hours more efficient, what did they do with those five hours? The question is whether AI puts measurable dollars back into the business, and whether teams use it.”
Monk’s view is that cash flow is what allows a business to grow and succeed. Collections is one area where applied AI is already showing hard ROI, and the summit will bring together speakers to share other examples from their own companies. Ryan Farmer of Vestis will open the program with a session on cash as the new growth metric.
From Pilot to Production
Speakers have direct experience deploying AI, including at enterprise scale.
Damian Lewandowski, an associate partner at McKinsey & Company who leads agentic AI programs for large enterprises, will discuss why most AI pilots stall and what the ones that reach production have in common.
Karan Parekh, Head of Finance at Clay, and Mark Fritz of B. Braun Medical will compare how AI-native and enterprise finance teams adopt AI, in a panel moderated by Dominic-Madori Davis, a senior reporter at TechCrunch. Parekh joined Clay when its finance team was a handful of people, and the company’s revenue has grown almost tenfold since. Fritz has 30 years of experience in finance and international operations, including two decades in Asia with Procter & Gamble, Philip Morris International and Warner Bros. He believes AI still has to move past pattern recognition and linear extrapolation before finance sees its full potential.
Guardrails and Trust
A recurring question at the summit is whether a finance leader should let AI touch the company’s financial data, and under what conditions.
Itay Goldstein, Chair of the Finance Department at the Wharton School, will speak on AI agents operating without guardrails, drawing on research into AI trading bots in financial markets. The closing panel will take up what it would take for finance leaders to trust an AI agent with a real finance decision.
The Finance Team of 2027
Several sessions focus on what AI means for operational teams: what a successful finance team looks like in 2027 with AI as a tool, and how to weigh the cost of AI tools against the cost of people and headcount.
Parekh evaluates AI spending by whether it pays for itself rather than by its cost. At Clay, AI tools cost about 8% of the support team’s salary and handle around 60% of tickets. Kavi Suri, former CFO of HeyGen, will discuss running finance at $200 million in annual recurring revenue with a lean team.
The closing panel, on working capital, AI and the modern finance organization, brings together Jason Pratt, Global Head of Credit and Collections at Revvity; Rahul Malhotra, CFO of Integreon; Adam Klein, CFO of Metronome; and Keith Weissman of Teladoc Health. Pratt rebuilt Revvity’s global collections function after its separation from PerkinElmer and improved days sales outstanding by about 27%. Weissman led Teladoc Health’s rollout of AI-enabled planning tools.
How AI Changes Business Models
Two sessions look beyond the finance team at how AI changes the economics of a business. Madhav Srinivasan, a visiting professor at Wharton, will discuss how AI is changing law firm economics. Rohan Bharvani of Coatue will present on what the category-defining companies of this generation have in common and how AI is changing margins in finance software.
Organizers describe Net 30 as a space for these conversations to happen in the open, among people at every stage of their careers, because the changes AI brings to finance will affect everyone who works in it.
The program will be followed by a reception for speakers and guests. Net 30 is invite-only, and requests can be made here.
