Stuut Raises $52.5M Series B: AI Agents Now Running the Order-to-Cash Process
Stuut raised $52.5M Series B led by Insight Partners to expand its AI agents across order-to-cash, claiming 40% more cash flow and 47% lower DSO for enterprise customers.
The $16 trillion problem hiding in your receivables
Businesses worldwide have an estimated $16 trillion locked up in unpaid receivables. Stuut, an AI platform that runs order-to-cash for some of the world's leading enterprises, just raised a $52.5 million Series B to chase that number. The round was led by Insight Partners, with participation from Andreessen Horowitz, M12 (Microsoft's venture fund), and Activant — bringing Stuut's total funding to $93 million, just ten months after its Series A.
What Stuut actually does
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. At enterprise scale, getting paid turns into millions of tiny investigations consuming thousands of hours. Stuut's platform automates the vast majority of that work — collections, cash application, payments, disputes, and deductions — using AI agents with continuous learning loops.
The company claims its customers are freeing up to 40% more cash flow, with a 47% reduction in days sales outstanding (DSO). Broken order-to-cash processes can wipe out as much as 5% of a company's revenue, or as much as $1 trillion a year across the Fortune 500 alone.
Why investors are betting on finance agents
A Series B led by Insight Partners, with Andreessen Horowitz and Microsoft's M12 joining, signals that AI agents in back-office finance have moved past the pilot phase. Order-to-cash is attractive because it is rule-heavy, data-rich, and painful — exactly the profile where AI agents deliver measurable ROI. The ten-month gap between Series A and B also shows how fast demand is growing.
What this means for your business
- Audit your own cash cycle. If customers pay late because of bad invoice data or chasing bottlenecks, the problem is operational, not financial. Map where your receivables stall before blaming your customers. - AI agents beat RPA for finance. Old-school automation handles scripted steps. Agent platforms like Stuut investigate exceptions — the missing PO, the disputed line item — which is where the real time goes. - DSO is a growth lever. A 47% reduction in DSO means cash you already earned becomes working capital months earlier. For a mid-size company, that can fund expansion without new borrowing. - The window for early adopters is open. As these platforms standardize, the competitive edge shifts to the companies that deploy them first and train the models on their own data.