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

An unpaid enterprise invoice can begin with something as mundane as a missing purchase order. Fixing it may require a billing contact, a portal submission, and weeks of follow-up across departments. Stuut is betting that AI agents can carry that work through to payment, and investors are backing the company with a new $52.5 million Series B.

Announced on October 7, the round was led by Insight Partners, with participation from Andreessen Horowitz and M12, Microsoft’s venture fund. It brings the New York company’s total funding to $93 million, just ten months after its Series A.

Stuut says more than 150 customers use its platform and that over $3 billion has moved through it. The company reports that customers are freeing up to 40% more cash flow and reducing days sales outstanding, or DSO, by 47%. Those are company-reported results; the announcement does not provide the methodology or customer sample behind the headline percentages.

Following the invoice all the way to payment

Order-to-cash covers the steps between accepting a customer order and receiving and recording the payment. Stuut’s pitch is that AI can execute the work across that chain, including collections, payments, cash application, disputes, and deductions, with an announced expansion into credit and order management.

The release describes a system that follows a missing purchase order through a rejected invoice, a customer accounts-payable portal, and a short payment or deduction. It says agents can contact customers by SMS, email, and phone, work inside AP portals, reconcile incoming cash, and take the next action while retaining the context of the account.

That continuity is the technical idea at the center of the product. A payment problem rarely belongs to a single inbox or database. An agent that sends a reminder but cannot determine why the invoice was rejected leaves much of the investigation to the finance team. Stuut is positioning its software to connect the communication with the operational steps needed to resolve the blockage.

Stuut’s website describes persistent customer context: payment patterns, communication preferences, and interaction history carry across workflows. It also names SAP, Oracle, NetSuite, and Microsoft Dynamics among its ERP integrations, with deployment described as taking three to four days. These are vendor descriptions, rather than independently tested integration guarantees.

In the announcement, CEO Tarek Alaruri said continuous learning loops are intended to improve customer experience and financial performance. The release does not identify the underlying AI models or explain the learning architecture in enough detail to assess those mechanisms independently.

Automation has to fit financial controls

Stuut reports that 81.7% of outbound collections activity runs without human involvement and that 95% of incoming payments are matched automatically. Cash application is the process of linking a received payment to the correct outstanding invoices, an essential step in keeping account balances accurate.

These figures describe specific activities, not a demonstration that every finance task is autonomous. The distinction matters when companies must investigate disputed charges, handle exceptions, and maintain approval controls.

According to the release, Stuut is configured around customers’ existing processes, every action is auditable, and changes in behavior require approval. That is a significant part of the enterprise proposition: finance leaders need to understand why an action occurred and whether it followed the company’s rules.

Chris Dichiara, chief financial officer at Verifone, emphasized that point in a statement supplied with the announcement, saying Stuut works within the company’s ERP, controls, and audit trails. He also highlighted the ability to ask the platform what happened and why, making the explanation behind the work part of the value.

The public website still labels credit and order management as coming soon, while the new release says Stuut is extending into those areas. Customers should confirm the availability and scope of those announced capabilities for their deployment.

What the customer results show

The announcement provides several concrete examples of where the platform is being used. Bishop Lifting has deployed Stuut across 45 branches for collections, disputes, and cash application. Stuut says that deployment cut overdue receivables by 35%, released $3 million in working capital, and increased the number of accounts managed per employee by 50%.

Honeywell is using Stuut on top of legacy SAP to extend coverage to smaller customer accounts and is expanding it into quote-to-cash, according to the release. At ZoomInfo, the company reports $21.2 million collected through Stuut and a reduction of more than 90% in time to first touch.

ZoomInfo’s controller and vice president of accounting, Blaine Browning, offered a more qualified account of the DSO impact: Stuut contributed, alongside other accounts-receivable initiatives, to an improvement from 51 to 40 days. That context prevents attributing the entire gain to a single product. Browning also described a data partnership bringing ZoomInfo’s information into Stuut’s platform.

DSO measures how long a business takes to collect payment on credit sales. Faster collection can release working capital, but a customer’s outcome depends on its starting processes, payment terms, and implementation. The case studies supplied in the release illustrate possible benefits without establishing a universal result.

New capital for a broader finance platform

Stuut says its customer base has grown fivefold since last year and that the business is growing more than 90% quarter over quarter, although the release does not specify which metric that quarterly figure measures. The new funding will support customer demand and expansion into financial infrastructure, including credit, lending, and the movement of funds.

The company also identifies relationships with Fiserv, EY, Altamont, and HIG aimed at helping enterprises buy, deploy, and scale the platform. Those distribution channels could matter as Stuut moves from individual collections workflows toward a larger role in enterprise finance.

The funding puts Stuut within the broader shift toward agentic AI that executes business workflows. Its test is unusually concrete: whether software can resolve the problem behind an unpaid invoice, collect the money, and record the result while preserving the controls that finance teams depend on. Expanding that capability across the full order-to-cash cycle is the ambition this Series B is funding.