CFO Series Dinner: Revolutionizing Revenue Ops and AI-Native ERP
Finance teams are feeling the strain of systems built for a slower era. Not because the people inside those teams cannot keep pace, but because the machinery around them still thinks revenue moves in straight lines. It does not. Pricing mutates. Usage based billing expands across products. Entities multiply across borders. Meanwhile the expectation from leadership stays brutally simple. Move faster. See everything. Miss nothing. Inside modern SaaS companies, finance is no longer just reporting what happened. It is expected to understand what is happening now.
That pressure is shaping how CFOs approach infrastructure in 2026. The systems that once kept the books are now expected to keep the pace of the business. That is exactly the conversation forming in San Francisco on Tuesday, March 24, 2026, when JustPaid and Rillet bring together a room of finance leaders for the CFO Series Dinner: Revolutionizing Revenue Ops and AI-Native ERP. The gathering runs from 6:30–9:00 PM, and the location stays intentionally private until registration confirms the seat. Invite only. Curated. The kind of room where conversations move quickly once operators recognize they are surrounded by people solving the same problems.
The focus is not abstract AI hype. It is the mechanics of how modern finance actually runs. Complex revenue models. Multi entity accounting. The growing demand for faster financial closes inside high growth companies. CFOs and controllers from SaaS, B2B, and technology firms are gathering to compare notes on what happens when finance infrastructure finally begins to move at the same speed as the companies it supports.
JustPaid arrives with a direct thesis. Revenue operations should not crawl through manual billing cycles when AI can read contracts, generate invoices, manage multi currency billing, and accelerate payments by 60%. The name says it plainly. Get the company JustPaid faster. Pair that with Rillet, which approaches ERP with an AI native foundation designed for complex revenue recognition including ASC 606, multi entity consolidation, automated reconciliations, and natural language access to financial data. For companies operating inside the complexity of modern SaaS revenue models, the pairing starts to resemble a full financial command center, connecting billing, collections, reporting, and compliance.
Behind the dinner are four organizers who understand the terrain. Anelya Grant, Stephen Hedlund, Daniel Kivatinos, and Zuny Fester are shaping both the conversation and the guest list with intention. The goal is not a stage show. It is a room where operators talk to operators about what actually works when revenue models stretch across currencies, products, and global markets.
Moments like this rarely announce themselves as turning points. They look like a dinner. A few tables. A handful of conversations that run longer than expected. Yet the timing matters. Finance teams are entering a phase where AI is no longer an experiment sitting beside the system of record. It is becoming the interface to the system itself. Billing. Collections. Reconciliation. Reporting. The numbers no longer sit quietly in spreadsheets. They respond, explain, and increasingly anticipate. And when finance leaders begin to experience that shift firsthand, the shape of the modern finance stack starts to change.