What does it take to make AI agents you can actually trust with your books? Ajay Krishna Amudan, co-founder and CTO of Maximor, joins Foundation Capital partner Jaya to talk about building an autonomous finance platform for the office of the CFO.
What does it take to make AI agents you can actually trust with your books?
Ajay Krishna Amudan, co-founder and CTO of Maximor, joins Foundation Capital partner Jaya to talk about building an autonomous finance platform for the office of the CFO. Maximor’s agents handle revenue recognition, month-end close, reconciliations, AR, AP, and billing ops in ways that finance teams can actually audit. Instead of fighting to become the next system of record, Maximor chose to become ERP-agnostic, working across whatever ERPs a customer already has, even if they have different data models.
Ajay and Jaya dig into the technical decisions behind creating trustworthy AI for finance: an "adversarial agent architecture" where agents audit each other like a human auditor would, with built-in verifiability. They talk about when post-training actually improves quality (versus just cost), along with how roles are shifting: finance teams are becoming custodians of policies and judgments as agents take on more of the day-to-day work.
The discussion closes Ajay's hardest founder lesson and his vision for the future, where Maximor becomes every company's central decision-making brain.
What we covered: