Monk ai-accounts-receivable contract-to-cash-automation collectons ar automation platform George KurdinOver the past two decades, technology has reshaped nearly every major financial workflow at growing B2B companies: ERPs digitized operations, CRMs streamlined sales, and a new generation of AP automation made paying bills nearly hands-off. The one corner of the finance stack that stayed stuck in inboxes and spreadsheets is the side that matters most to runway, with trillions of dollars sitting trapped in U.S. accounts receivable at any given time. Monk, an AI-native accounts receivable platform, set out to close that gap by deploying AI agents across the full contract-to-cash lifecycle, from invoicing and intelligent collections through cash application and dispute resolution. The NYC company built specifically for the edge cases that have always broken manual AR processes (portal uploads, PO mismatches, and disputes that sit unresolved for weeks), wrapping every model call in deterministic code so finance teams can hand off real money without giving up accuracy. Customers including ElevenLabs, Profound, and Siro report a 40% reduction in days sales outstanding, a 24% higher collections response rate, and 26 hours a month back per AR team, with a small Monk team now managing over $1B in receivables across the customer base.
AlleyWatch sat down with Monk Cofounder and CEO George Kurdin to learn more about the business, the team’s plans, recent funding round, and much, much more…
Who were your investors and how much did you raise?
Monk raised $25M in a Series A co-led by Footwork and Acrew Capital, with continued participation from Better Tomorrow Ventures (BTV). This brings total funding to $29M, following a $4M seed led by BTV in spring of 2025.
Tell us about the product or service that Monk offers.
Monk is an AI-native accounts receivable platform that automates the full contract-to-cash lifecycle for B2B companies — from processing contracts and generating invoices, to intelligent collections, cash application, dispute resolution, and revenue reporting. Most AR tools automate the easy parts and leave the hard parts to your team. Monk was built for the other direction: the edge cases, the portal uploads, the PO mismatches, the disputes that sit unresolved for weeks. Those exceptions alone account for 39% of cashflow delays. Customers see a 40% reduction in days sales outstanding, a 24% higher collections response rate, and 26 hours a month returned to finance teams.
What inspired the start of Monk?
We didn’t start with a thesis — we started with a question: where is the most acute, most universal financial pain in B2B businesses today? After interviewing more than 200 CFOs across every sector, stage, and size, one category came up every single time: accounts receivable. The frustration was different in kind from everything else. Complex enough that nobody wanted to touch it, universal enough that everyone was quietly drowning in it. Finance teams weren’t waiting for a solution — they’d stopped expecting one. That gap was too big to ignore.
How is Monk different?
Every other major financial workflow has been modernized — ERPs, CRMs, AP automation. But the other side of the ledger, actually getting paid, stayed largely the same. Invoices over email, payments chased manually, deposits matched by hand. Monk was built AI-native from the ground up to handle exactly that. We don’t automate the easy parts and hand off the hard parts — we built specifically for the edge cases that have always broken manual processes. And because AR touches real money and real customer relationships, every model call is wrapped in deterministic code and tested against thousands of edge cases. There’s no room for error.
What market does Monk target and how big is it?
Monk targets B2B companies managing accounts receivable — a category where trillions of dollars are trapped in manual, email-based processes every year. The wedge is AR automation, with a broader vision to become the B2B revenue platform for the AI era. Early customers include ElevenLabs, Profound, and Siro.
What’s your business model?
Monk operates on a subscription model with custom pricing based on each customer’s needs. As the volume and complexity of what we’re automating grows, the contract grows with it.
How are you preparing for a potential economic slowdown?
Monk helps companies get paid faster and do more with smaller teams — that value proposition gets stronger in a tighter economy, not weaker. A 40% reduction in DSO and 26 hours saved per month per AR team is a hard ROI to argue with when budgets are under pressure. If anything, an economic slowdown accelerates the case for automating cash collection.
What was the funding process like?
Fast. We ran a competitive process and moved quickly — from first meetings to signed terms in a matter of weeks. Our focus was on finding partners who would be able to make us a bigger and better company than we are today – we had high conviction that Nikhil at Footwork and Lauren at Acrew were the perfect partners. Once we figured that out, we got back to building.
What are the biggest challenges that you faced while raising capital?
Honestly, the biggest challenge was just keeping the pace up — on both fronts at once. We were running a full fundraising process while also closing customers, growing the team, and shipping product. We didn’t want fundraising to become a distraction, so we moved with urgency and kept the bar high for how we used our time. When you’re moving that fast, you have to be disciplined about what you say yes to. But that speed also creates its own momentum — investors can feel when a company isn’t waiting around.
What factors about your business led your investors to write the check?
A combination of things: a problem that is both enormous and underserved, real and measurable customer outcomes, and a team willing to do the hard work that most application-layer AI companies avoid. As Footwork’s Nikhil Basu Trivedi put it: “The challenging part of building in AI is diffusing the technology into the workflows that run the economy. Monk is one of the few teams willing to do that work.” The fact that a small team was already managing over a billion dollars in receivables for customers — with concrete results — made the conviction easy.
A combination of things: a problem that is both enormous and underserved, real and measurable customer outcomes, and a team willing to do the hard work that most application-layer AI companies avoid. As Footwork’s Nikhil Basu Trivedi put it: “The challenging part of building in AI is diffusing the technology into the workflows that run the economy. Monk is one of the few teams willing to do that work.” The fact that a small team was already managing over a billion dollars in receivables for customers — with concrete results — made the conviction easy.
What are the milestones you plan to achieve in the next six months?
We’re going deeper across the full contract-to-cash stack — extending our collections agent’s capabilities, handling more of the edge cases that have always broken manual processes, and continuing to grow our customer base. The goal is simple: when any B2B company thinks about their cash, they think of Monk.
What advice can you offer companies in New York that do not have a fresh injection of capital in the bank?
Know your burn number cold and get to default alive. Then go win customers — not leads, not pilots, paying customers who renew. Revenue is the best fundraising strategy there is. The companies that survive without fresh capital are the ones that treat every dollar like it matters and let the results do the talking.
Where do you see the company going now over the near term?
AR is the wedge, but the vision is much larger — to be the B2B revenue platform for the AI era. We’re early, the category is large, and the work that matters most is still ahead.
What’s your favorite spring destination in and around the city?
Office. We need to work.
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