Stuut raises $52.5M to automate enterprise order-to-cash with AI

New York-based Stuut has closed a $52.5 million Series B to accelerate its AI-driven order-to-cash platform, with Insight Partners leading and Andreessen Horowitz, M12 (Microsoft's venture fund), and Activant participating. The raise brings total funding to $93 million in just ten months since the company's Series A, a pace that reflects both investor appetite for agentic enterprise software and the scale of the problem it targets: businesses globally are sitting on roughly $16 trillion in unpaid receivables, with US firms alone carrying an estimated $7.2 trillion in trade receivables.

Stuut's platform automates the full lifecycle from order management through credit, collections, cash application, payments, disputes and deductions. The company says customers are cutting days sales outstanding (DSO) by 47% and unlocking up to 40% more cash flow; over $3 billion has now moved through the platform. Current customers include Honeywell, Vodafone, ZoomInfo and Verifone, with 150-plus enterprises in total. Customer numbers have grown fivefold year-on-year.

Agentic AI meets the CFO's most-watched metric

The timing matters because DSO is no longer just an operational metric: the release notes it is increasingly tied to CFO compensation at a growing number of large enterprises. With more than 300,000 accountants having left the profession in the US since 2019, the labour pool available to manage manual receivables work is shrinking even as transaction volumes rise. That combination creates structural demand for software that does not merely organise the work but executes it.

Stuut claims 81.7% of outbound collections activity runs without human involvement, and 95% of incoming payments are matched automatically. The platform integrates into existing ERP, CRM, bank and payment systems without requiring process changes, a design choice that lowers deployment friction for large enterprises reluctant to re-engineer finance operations. "Order-to-cash performance has always been capped by capacity: how many accounts a team can work, how many disputes it can chase. Stuut's autonomous execution removes that ceiling while holding to the controls a global enterprise requires," said Shawn Ryan, Partner and US Working Capital Leader at EY-Parthenon.

The convergence read-across: agentic software reshaping enterprise finance infrastructure

The Stuut raise sits at a convergence point that is becoming a distinct capital theme: agentic AI applied to mission-critical financial workflows inside large enterprises. Where earlier waves of enterprise software digitised processes, the current generation is replacing human execution loops entirely. This is not simply a fintech story. The implications run across the enterprise software stack, touching ERP vendors, payment processors (Fiserv is named as a distribution partner), and the broader working-capital ecosystem of private equity and alternative lenders that rely on receivables quality as an underwriting input.

For macro investors, the more significant signal is the pace of capital deployment into agentic enterprise workflows. Insight Partners, with over $90 billion in regulatory assets under management, and Andreessen Horowitz now have concurrent bets in this space, suggesting the category is moving from experimental to infrastructure. As AI execution layers embed themselves into order-to-cash, credit and payments, the competitive moat increasingly sits in proprietary behavioural data: Stuut describes building a "living memory" of each customer's payment patterns, portal behaviours and failure modes. That data compounds over time, creating switching costs that are structurally different from those of conventional SaaS.

The company has signalled its longer-term ambition extends well beyond collections, pointing towards credit, lending and the movement of funds across the full transaction lifecycle. Whether that trajectory puts Stuut on a collision course with payments infrastructure providers or positions it as an acquisition target for one is, at $93 million raised and growing over 90% quarter-on-quarter, a question the next funding cycle will likely force into the open.