The promise is seductive: let artificial intelligence handle the chaos of enterprise billing while humans simply approve the work. No more revenue leakage from missed contract amendments. No more month-end scrambles to close the books. Just click, review, done.
Zenskar, a New York-based startup building what it calls "agentic" billing automation, is wagering that this vision is within reach. The company announced a $15 million Series A round led by Susquehanna Venture Capital, Bessemer Venture Partners, Shine Capital, and Rho. The capital will fund an AI agents marketplace and integrations the founders believe can finally automate order-to-cash operations for complex B2B companies.
Perhaps predictably, they're calling it "Zero-Touch Finance."
Founded in 2022 by Apurv Bansal and Saurabh Agrawal—Bansal a Harvard Business School and IIT Delhi alum who worked at Google, Agrawal an IIT Bombay graduate with experience at Deutsche Bank—Zenskar is entering a crowded field at a moment when AI hype collides with the stubborn realities of enterprise finance. Billing systems need to be both accurate and auditable. A hallucinated invoice isn't just embarrassing; it's a compliance nightmare.
The Architecture Underneath
Zenskar's pitch hinges on a technical distinction that might sound semantic but matters in practice. The company separates deterministic financial calculations (the math that absolutely cannot be wrong) from AI-driven workflow automation (the tasks that can be orchestrated, reviewed, and adjusted). Agents execute; humans approve. Think of it as robotic process automation with a brain, or at least the appearance of one.
"The systems underneath those AI tools were built for a simpler world," CEO Bansal said in the announcement, a veiled jab at incumbents like Zuora and Chargebee. Zenskar claims it built an entirely new architecture: contracts modeled as objects on a graph to handle amendments and edge cases, with revenue recognition decoupled from billing to maintain compliance with ASC 606 and IFRS 15 accounting standards.
Whether that constitutes reinventing the wheel or fixing it depends on whom you ask.
The company is building what it calls an Agents Marketplace alongside a Slack-native assistant that integrates with major AI tools. The marketplace concept suggests an ecosystem play—third-party developers could theoretically build agents for niche workflows. It's ambitious, maybe overly so for a Series A company.
Traction, By the Numbers (Sort Of)
Zenskar reported 5x year-over-year revenue growth but declined to disclose absolute figures, a common move for early-stage companies wary of revealing how small their base remains. The customer list includes Posh, Thriva, Pontera, Yembo, Vertice, and Sardine—names that won't ring bells outside fintech and SaaS circles but represent the exact mid-market segment Zenskar is targeting.
The company's case studies cite specific outcomes: Vertice closes books 70% faster, according to Zenskar's internal reports. Yembo collects 50% of revenue a month earlier with 90% time savings, per the company's published case study. Pontera used the platform's automation to bill over 500 customers in days and collected more than $5 million, though what "one click" actually means in enterprise software remains open to interpretation.
The platform advertises over 200 integrations with CRMs, CPQs, ERPs, data warehouses, payment gateways, and tax providers—a breadth that's table stakes in this market. Specific integrations include bi-directional NetSuite sync, HubSpot, Avalara AvaTax, QuickBooks, and Stripe, the usual suspects for any serious billing platform.
A Crowded, Growing Market
Zenskar is hardly alone in chasing this opportunity. The recurring billing market was estimated at $13.75 billion in 2024 and is projected to reach $26.5 billion by 2032, according to a 2026 Future Market Report. Established players like Zuora and Chargebee dominate, while Stripe Billing leverages its payment network and newer entrants like Metronome focus on usage-based pricing.
Both Gartner and Forrester published vendor landscape reports in 2025 mapping at least 17 players in this space, which means differentiation is increasingly difficult. Everyone promises flexibility, automation, and compliance. The question is whether AI agents represent a genuine breakthrough or just the latest buzzword slapped onto incremental improvements.
Sai Araveti of Susquehanna Venture Capital acknowledged that finance teams have been slow to adopt AI, largely because "accuracy and auditability concerns" make experimentation risky. Legacy systems, he noted, "treat complexity as an exception" rather than the default state of modern B2B contracts.
Anant Vidur Puri of Bessemer, which previously led Zenskar's seed round in October 2022, highlighted what he called the company's "agentic architecture built for complex pricing and ASC 606-compliant revenue recognition." (Funding figures from that earlier round vary depending on the source: Zenskar reported $6.5 million, while third-party databases list $3.5 million—a discrepancy that's common but worth noting.)
Participating investors in the latest round included Rocketship, J-Ventures, Future Back Ventures (backed by consulting giant Bain & Company), and Converge. That's a lot of backers for a Series A, which could signal strong conviction or fragmented ownership. Time will tell which.
What Comes Next
Zenskar plans to expand its agent capabilities and deepen integrations, the kind of roadmap language that every SaaS company uses. More concretely, the company has announced partnerships with Paraglide.ai for accounts receivable automation (February 2026) and Basis Theory for payment tokenization and routing (also February). It showcased its AI-native approach at a GrowCFO tech event in March, part of a broader effort to build credibility with finance leaders.
Before launching, Bansal and Agrawal spent six months interviewing roughly 500 finance leaders—a discovery process that sounds exhausting but apparently shaped the product. Both founders bring pedigree: Bansal is a Harvard Business School and IIT Delhi alum who worked at Google, while Agrawal studied at IIT Bombay and spent time at Deutsche Bank. Employee counts from third-party sources range widely, from 77 to somewhere between 51 and 200, though exact headcount remains unverified.
The fundamental bet Zenskar is making is that AI agents can handle the messy, exception-heavy reality of enterprise billing better than humans or traditional automation. It's a bet that requires not just better software but a leap of faith from finance teams who've been burned before. Whether $15 million is enough to prove that thesis—and whether the market will care—remains an open question.
For now, the company has capital, customers citing impressive metrics, and a narrative that investors clearly found compelling. The hard part, as always, is execution.
