Redefining the CFO stack. From ERP to AI-centric finance.
FinanceOps is the agentic AI platform for accounts receivable and collections. Autonomous agents sit above your ERP, orchestrating cash application, reconciliation, dunning, and collections in real time, so finance teams stop managing spreadsheets and start managing strategy.
Liquidity isn't a rate problem. It's an intelligence problem.
- Category
- Agentic AI for AR
- Sits above
- Your ERP
- Recovery rate
- 70%+
- AR hours saved
- 70–80%
Finance teams should spend their time on judgment, not data entry.
FinanceOps replaces manual, reactive AR and collections work with autonomous agents that predict, decide, and act, so operational hours go back to strategy and analysis instead of chasing invoices.
The modern CFO stack is shifting from ERP-centric to AI-centric.
FinanceOps is building the unified intelligence layer that sits above the ERP and the rest of the finance stack, orchestrating AR, AP, treasury, and collections in real time.
This is the post-interest economy, a shift where liquidity is no longer managed through interest-rate levers and reactive borrowing, but through predictive algorithms that see risk before it happens and act on it.
How we operate.
Precision Over Guesswork
Every decision, who to contact, when, and how, is driven by data and reasoning, not fixed rules or intuition. Precision compounds: small, correct decisions made consistently at scale outperform broad, generic action every time.
Intelligence Before Instinct
We act on real-time signals, not periodic snapshots or gut calls. Liquidity, risk, and cash position should be understood continuously, not reconstructed after the fact.
Governed Autonomy
Automation earns trust by staying inside the boundaries a team sets for it, tone, compliance, escalation, and by proving every decision it makes. True autonomy and full accountability aren't a tradeoff; they're the same requirement.
The intelligence layer ERPs were never meant to be.
FinanceOps was founded on a simple observation from two people who'd seen the problem from both sides of the finance stack, capital markets and enterprise software engineering.
Pragas Nanthakumar, CEO, spent his early career leading Capital Markets, where he watched low-dollar, high-volume uncollected balances quietly erode liquidity, long before anyone called it a crisis. That became the founding thesis: liquidity isn't a rate problem, it's an intelligence problem.
Yogesh Jeswani, CTO, built large-scale financial systems at Visa, PayPal, and Nirvana Money. Having built payment infrastructure from the inside, he saw the same architectural gap from the engineering side, ERPs were never designed for continuous, real-time financial intelligence.
Together, they built FinanceOps to unify systems, understand context in real time, and let AI agents run AR and collections autonomously, not just automatically.
Built By Experts Who've Lived It.
The FinanceOps team has spent its careers inside the systems FinanceOps replaces, capital markets desks, global payment networks, and the receivables platforms finance teams run today.
Prior experience of the FinanceOps team. All marks belong to their respective owners.
Backed by
Outcomes that compound.
The gap between ERP-only finance and AI-powered finance is accelerating.
See what an AI-centric AR and collections stack looks like.