Fiserv Partners with Stuut: The AI Agent That Collected $2B in B2B Invoices Now Automates Order-to-Cash
Fiserv is embedding Stuut's agentic AI into its SnapPay order-to-cash platform. What gets automated in B2B collections and cash application, what the $2B track record means, and the implications for e-commerce businesses.
Key Takeaways
- On August 5, 2026, payments giant Fiserv announced a partnership with Stuut Technologies, whose AI agents automate accounts receivable work. Fiserv's Commerce Hub becomes the payment processing foundation for Stuut's platform, and Stuut's AI agent is embedded into SnapPay, Fiserv's order-to-cash solution
- Founded in 2024, Stuut has already collected more than $2 billion in B2B invoices. Backed by a16z and Khosla Ventures, it runs inside existing ERPs such as SAP and Oracle and deploys in days, dismantling the adoption barriers that have held enterprise finance teams back for years
- The agentic commerce conversation tends to focus on the "AI that buys" side. This partnership automates the other side: AI that invoices and collects. For B2B e-commerce businesses handling trade credit and invoice payments, post-order cash collection has now entered the agent's territory
The Payments Giant Picked a Two-Year-Old Startup
Fiserv is integrating Stuut's agentic AI technology into its Commerce Hub and SnapPay platforms to enhance automation in enterprise order-to-cash processes.
www.marketscale.comOn August 5, 2026 (US time), Fiserv, a leading provider of payments and financial services technology, announced a strategic partnership with Stuut Technologies in an official release. The goal is to use AI agents to modernize the manual, fragmented B2B receivables work burdening enterprise finance teams.
The partnership has a two-part structure. First, Commerce Hub, Fiserv's global payments platform, will serve as the payment processing foundation for Stuut's platform. At the same time, Stuut's technology will be integrated into SnapPay, Fiserv's order-to-cash solution, to automate accounts receivable and B2B payment workflows. The scope covers collections, cash application, payments, disputes, and deduction management, spanning the full cycle from invoice to cash.
Jackson McIntosh, SVP of Payments Value Added Services at Fiserv, explained the intent behind the partnership.
Businesses are increasingly looking for ways to improve customer experiences while optimizing working capital. Together with Stuut, we are combining our payment and receivables expertise with AI innovation, helping our clients streamline order-to-cash workflows, support productivity gains, improve operational efficiency and deliver greater value.
Tarek Alaruri, Stuut's CEO, framed the deal in distribution terms. Fiserv's global scale, carried by Commerce Hub and SnapPay, is something Stuut would have needed years to build on its own, and it provides the foundation to bring Stuut's capabilities to the largest enterprise accounts.
Where Manual Work Still Lives in Order-to-Cash
Order-to-cash (O2C) refers to the end-to-end cash collection process from order receipt through invoicing, collections, and cash application. While consumer payments have evolved to one-click checkout, much of this process in the B2B world still runs on human labor.
Why has software failed to solve it? The a16z investment memo on Stuut locates the answer in the nature of collections work. Chasing invoices happens through email and phone conversations that are unstructured and conversational. Traditional software built for standardized processing handles this domain poorly, leaving enterprise AR teams working the same way they did ten or twenty years ago. And because Net 30 and Net 60 payment terms underpin trade credit across supply chains, the work itself cannot simply be eliminated.
Agents built on generative AI differ precisely in their ability to process this kind of unstandardized, conversational work. Comparing the areas Stuut's agent takes over in this integration with the traditional approach looks like this.
| Process | Traditional approach and pain points | What Stuut's AI agent does |
|---|---|---|
| Collections | Staff chase payments by email and phone. Messaging and follow-up depend on individuals | Learns each customer's payment behavior and runs dunning outreach autonomously |
| Cash application | Payments are matched to invoices by hand. Spreadsheet management persists | Automatically matches incoming payments to invoices and completes reconciliation |
| Disputes and deductions | Amount mismatches and deduction claims pile up and take long to resolve | Processes dispute handling and deduction management as automated workflows |
| Payment processing | AR teams and payment rails are disconnected, making cash visibility difficult | Fiserv's Commerce Hub becomes the payment processing foundation, connecting collections through settlement |
The deployment model also stands out. Stuut's agent learns each customer's payment behavior over time and is designed to work within existing ERPs rather than replace them. It supports SAP, Oracle, NetSuite, and Microsoft Dynamics 365, and the company says deployments complete in days. For finance departments that want to avoid ERP-replacement projects spanning months or years, these two points answer their longest-standing objections directly.
What $2 Billion in Processed Invoices and a16z's Backing Signal
Stuut was founded only in 2024 by CEO Tarek Alaruri, Adam Chaarawi, and Ben Winter. Despite that short history, the official release states its AI agent has already collected more than $2 billion in B2B invoices. Reaching this volume within two years of founding indicates the model has been trained on real, large-scale commercial payment flows rather than pilot environments, which matters to enterprise procurement teams that scrutinize vendor stability and track record.
The financial backing has deepened as well. In November 2025, the company raised a $29.5 million Series A led by Andreessen Horowitz, with Activant Capital and Khosla Ventures participating. Its customer roster includes names like Honeywell, ZoomInfo, and PerkinElmer. The same release cites early results of a 40 percent reduction in overdue balances and a 70 percent reduction in manual tasks at customer deployments.
These numbers deserve caution, however. The 40 and 70 percent figures are all vendor-reported and have not been independently verified. The baseline conditions and scale of the customers behind them are not disclosed, so applying them to your own operations requires case-by-case validation. MarketScale, the source article, likewise notes that the days-long deployment claim is aggressive for enterprise ERP environments and recommends getting a formal implementation plan in writing during vendor evaluation.
The Release's Careful Wording and Undisclosed Terms
A close reading of the official release shows repeated qualifiers: "eligible" enterprises, "where available," and "subject to applicable requirements and implementation timelines." The reasonable interpretation is that not every company can use this immediately, and that customer eligibility and geographic availability will be determined in stages.
Pricing, the commercial terms of the partnership including revenue sharing, and the general availability date of the integrated capabilities are all undisclosed. Whether existing SnapPay users will get Stuut's capabilities at no additional cost has also not been made clear. Any evaluation will need to start with a direct inquiry on these points.
What This Means for E-Commerce Businesses: After Buying Agents Come Collection Agents
The agentic commerce conversation gravitates toward the front end, such as purchasing products through ChatGPT, where AI does the shopping. This partnership shows the other side: AI agents taking over post-order cash collection. As PYMNTS's analysis points out, modern AR automation now reads not only structured data like payment history but unstructured data like email sentiment and dispute frequency, entering a stage where payment problems are predicted before an invoice is even sent.
For B2B e-commerce operators, wholesalers, and marketplace businesses that extend trade credit or accept invoice payments, this is not someone else's story. If buyers automate ordering with purchasing agents while the seller's invoicing and collections stay manual, the asymmetry in processing speed translates directly into working capital strain. In payment provider selection, the comparison axis will likely expand beyond raw processing performance to how much of the full order-to-cash cycle, including collections and reconciliation, a provider can automate.
Business-to-business payment digitization is underway in Japan as well, and the fact that a global payments giant has begun absorbing AR automation as a standard platform capability serves as a leading indicator for how domestic payment providers and ERP vendors will extend their offerings.
Conclusion
The Fiserv and Stuut partnership is a concrete B2B example of payments giants absorbing AI agents as core platform capabilities. The $2 billion collection track record is remarkable for a two-year-old company, but most of the performance metrics are vendor-reported, and eligibility and pricing terms remain undisclosed. Even so, the partnership clearly signals the direction: collection automation, the counterpart to purchase automation, is becoming standard equipment in payment infrastructure. For e-commerce businesses selling B2B, this is a good moment to take stock of how much of the post-order workflow could be handed to machines.
