Stuut Raises $52.5M for Agentic Order-to-Cash AI
Stuut, a New York-based startup that deploys AI agents across the order-to-cash cycle, closed a $52.5 million Series B on October 7, 2026 — a round that completed in under 24 hours. Insight Partners led the round, with Andreessen Horowitz and Microsoft M12 participating. The company has now raised $93 million in total, following a $29.5 million Series A led by Andreessen Horowitz in November 2025.
The speed of the close reflects how urgently enterprise finance teams are looking for a solution to a problem that has resisted software for decades: getting paid on time.
The $1 Trillion Accounts Receivable Problem
Order-to-cash (O2C) is the full sequence of steps between a customer placing an order and cash landing in a company’s bank account: order management, invoicing, credit checks, collections, cash application, dispute resolution, and deductions. Every enterprise runs this process. Almost none runs it well.
The numbers are stark:
| Metric | Figure |
|---|---|
| Revenue lost to broken O2C (Fortune 500) | ~5% or $1 trillion/year |
| Global unpaid receivables | $16 trillion |
| US trade receivables | $7.2 trillion |
| Accountants who left the profession since 2019 | 300,000+ |
The labor problem compounds the process problem. The accountants and collections specialists who once worked through receivables backlogs are leaving the profession faster than they can be replaced. Companies respond by tolerating longer days sales outstanding (DSO) and higher write-offs — costs that land directly on the income statement.
How Stuut’s AI Agents Work
Stuut was founded in 2024 by Tarek Alaruri (CEO, formerly COO at Fairmarkit), Ben Winter, and Adam Chaarwari. The core thesis is that the O2C cycle is not primarily a software problem — it is a human labor problem. The bottleneck is not the invoicing system; it is the dozens of repetitive outbound contacts, portal logins, dispute trackers, and payment reconciliations that collections teams execute manually every day.
Stuut replaces that labor with AI agents that handle the full O2C cycle from order management through cash application. The agents:
- Contact customers via SMS, email, and phone to chase overdue invoices
- Log into AP portals on the customer’s behalf to track payment status
- Reconcile incoming payments against open invoices automatically
- Manage disputes and deductions without escalating to a human unless genuinely necessary
- Build a “living memory” of each customer’s payment behavior, portal quirks, and escalation preferences
The platform integrates with existing ERP, CRM, and payment systems without requiring a rip-and-replace. Honeywell, one of Stuut’s customers, runs it on legacy SAP.
Verified Customer Results
Enterprise claims about AI ROI are easy to make and hard to verify. Stuut’s press materials include customer-specific figures that are unusually concrete:
ZoomInfo: DSO dropped from 51 days to 40 days. $21.2 million collected. Time-to-first-touch on new invoices reduced by more than 90%.
Bishop Lifting: Overdue receivables cut by 35%. $3 million in cash freed. Each collections employee now handles 50% more accounts.
Honeywell: Running on legacy SAP with no system replacement. Expanding engagement from O2C to the broader quote-to-cash cycle.
Across the full customer base of 150+ enterprises (including Fortune 50 and Fortune 500 companies), Stuut reports:
- 81.7% of outbound collections completed without human involvement
- 95% of incoming payments auto-matched to open invoices
- 47% reduction in DSO
- 40% more cash freed from working capital
- $3B+ in payments processed
Customer growth ran 5x year-over-year. The $52.5M round comes 10 months after the Series A, a pace that reflects genuine enterprise traction rather than pre-launch hype.
Why This Matters for Enterprise AI and GTM Teams
Stuut is a clean example of what autonomous GTM systems look like when deployed against a specific, high-value operational bottleneck. Rather than building a general-purpose AI assistant that finance teams must prompt and supervise, Stuut builds agents that own a defined process end-to-end and produce measurable business outcomes.
This architectural choice has implications for how enterprise teams think about AI deployment. The ROI case is not “AI makes our team faster” — it is “AI runs this process autonomously, with 81.7% of actions requiring no human involvement, freeing people to work on exceptions.” That framing is easier to sell to CFOs and easier to measure post-deployment.
It also connects to the broader operational intelligence stack that CFOs and revenue operations leaders are building: if AI agents can autonomously collect receivables, match cash, and surface disputes, the data those agents generate becomes a real-time signal for demand forecasting, credit risk modeling, and pipeline health. The O2C system stops being a cost center and starts producing actionable intelligence.
The Competitive Landscape
Stuut is not the only company working on AI-powered receivables. Lunos, Cleavr, Fazeshift, Round, and Germany-based Procuros (which raised €20M on October 6) are all targeting overlapping ground. The difference Stuut is betting on is depth: not a copilot that helps a human collections agent move faster, but a system that eliminates the need for the human agent in 81.7% of cases.
Investors who backed the $52.5M round in under 24 hours appear to agree that the depth bet is the right one for the enterprise market, where the sales cycle is long but the contract value and retention are high once the system is embedded in an ERP workflow.
Strategic partnerships with Fiserv, EY, Altamont, and HIG signal that Stuut is building distribution through the consulting and financial services ecosystem rather than direct-only.
What Stuut Builds Next
Stuut’s stated roadmap extends from the current O2C automation into credit scoring, lending, and automated fund movement. The long-term goal the company describes: carrying every transaction from sale decision to cash in bank, without requiring a human to initiate or monitor individual steps.
That is a substantial claim. But the customer evidence Stuut has released — ZoomInfo’s 11-day DSO reduction, Bishop Lifting’s 35% overdue reduction, Honeywell’s expansion from O2C to quote-to-cash — suggests the core product is past proof-of-concept and into production at enterprise scale.
For AI builders and enterprise architects thinking about where to deploy agentic systems next, O2C is the clearest current example of a process that is (a) high-value, (b) highly repetitive, (c) well-defined enough for agents to own end-to-end, and (d) data-rich enough to improve continuously. Stuut’s $52.5M round is a signal that the market agrees.
Ready to evaluate where autonomous agents can produce the same measurable impact in your operations? Book a call with Enera.