Stuut Raises $52.5M Series B for Order-to-Cash AI Agents

Stuut, the New York startup whose AI agents run the order-to-cash process for large enterprises, has raised a $52.5 million Series B led by Insight Partners. The round, announced October 7, brings the company's total funding to $93 million just ten months after its Series A, with Andreessen Horowitz, M12, Microsoft's venture fund, and Activant participating, reported by Pulse2. The financing signals how quickly order-to-cash AI agents have moved from experiment to enterprise infrastructure.

The raise is aimed squarely at a problem most finance teams know intimately: getting paid. Stuut says its order-to-cash AI agents automate the vast majority of order-to-cash work, running collections, cash application, payments, disputes, and deductions end to end so customers unlock working capital instead of chasing it.

The $16 trillion problem

The numbers Stuut cites are striking. Businesses worldwide have $16 trillion locked up in unpaid receivables, according to the company's GlobeNewswire release. Broken order-to-cash processes can wipe out as much as 5 percent of a company's revenue, close to $1 trillion a year across the Fortune 500 alone.

American businesses were owed $7.48 trillion in trade receivables at the end of the first quarter of 2026, according to the Federal Reserve data cited by HackerNoon — money already earned on goods and services delivered, but not yet in a bank account. Stuut's $16 trillion figure puts the global number even higher, and S&P 1500 companies carried $707 billion of trapped liquidity in 2024, against the $3 billion that has moved through Stuut's platform so far.

The mechanics of the problem are mundane. Most customers want to pay, but a missing purchase order, bad order data, or an invoice sent to the wrong person triggers weeks of emails, portal work, and internal chasing. By the time an invoice is overdue, one small error can drag sales, finance, operations, and multiple systems into the mess. At enterprise scale, getting paid turns into millions of tiny investigations consuming thousands of hours, according to the company's release. The gap between invoiced and collected is exactly where order-to-cash AI agents earn their keep.

What the order-to-cash AI agents actually do

Stuut's agents handle the full transaction lifecycle: order management, credit, collections, cash application, payments, disputes, and deductions. The agents contact customers through email, SMS, and phone, access accounts payable portals, and investigate payment issues, retaining context from earlier interactions. Every action stays auditable within existing approval and control processes, reported by VentureBurn.

The approach marks a shift in what AI agents are expected to do inside finance teams. Rather than surfacing problems on a dashboard for humans to resolve, the order-to-cash AI agents carry the work through to payment. Stuut sees AI as an opportunity to move financial software beyond identifying problems and toward actually resolving them, according to the company.

That resolution-first design grew out of how the company started. Stuut initially focused on collections, where finance teams spent significant time determining why customers had not paid. As it worked with larger enterprises, the company found that overdue invoices were frequently the downstream result of problems occurring earlier in the order-to-cash process: missing purchase orders, mismatched pricing, invoices sent to the wrong recipient, or context lost as transactions moved among sales, operations, and finance. By the time collections got involved, employees had to reconstruct the transaction before they could fix the payment.

The order-to-cash AI agents now operate across that full chain, connecting with ERP systems, bank accounts, CRM systems, and payment platforms so problems get caught before they delay incoming payments.

Traction that justified a 24-hour round

More than 150 companies now use Stuut, including Fortune 50 and Fortune 500 businesses, with more than $3 billion moved through the platform. Customers are reducing days sales outstanding by 47 percent while freeing up as much as 40 percent more cash flow, according to Stuut. Those are company-reported figures, and the announcement does not detail the methodology behind the headline percentages, as Unite.AI noted.

Investor behavior tells its own story. The Series B closed within 24 hours, reported by VentureBurn, and landed just ten months after Stuut's $29.5 million Series A — a pace that suggests demand is pulling capital rather than the company pushing for it. Investors are betting that order-to-cash AI agents become standard enterprise infrastructure, not a nice-to-have. Andreessen Horowitz, which led the Series A, returned for the round, joined by Insight Partners, M12, and Activant.

The capital will go toward meeting customer demand and expanding deeper into transaction financial infrastructure, including credit, lending, and funds movement, reported by FinSMEs. Led by CEO Tarek Alaruri, the company intends to turn order-to-cash from a collections function into a platform that moves money across the enterprise.

The Stuut raise fits a week of heavy agent-economy funding. It lands alongside Valon's $150 million for AI agents in mortgage servicing, OneByZero's $20 million Series A for governed AI agents, and Nous Research's $90 million Series B for its open-source Hermes agent. The pattern is consistent: order-to-cash AI agents and their peers are being funded to do real operational work, not to demo well.

Further coverage of the round is available from Pulse2, HackerNoon, and FinSMEs, according to those outlets.