Fazeshift Raises $17 Million To Bring AI Automation To Accounts Receivable

Fazeshift raises $17 million to build AI agents for accounts receivable automation in finance operations

Fazeshift is a San Francisco based AI accounting startup

Fazeshift, the San Francisco startup deploying artificial intelligence agents to automate accounts receivable workflows, has closed a $17 million Series A funding round, bringing its total capital raised to $22 million. The deal adds to a wave of venture funding into accounting technology startups, a category that has drawn increasing attention from investors over the past 18 months.

F-Prime Capital led the round with participation from Gradient Ventures, Google’s dedicated early-stage AI fund, alongside Y Combinator, Wayfinder Ventures, Pioneer Fund, Ritual Capital, and a group of angel investors. The company said it plans to direct the capital toward product development, go-to-market expansion, and scaling adoption among enterprise organizations.

The round comes during a period of sustained dealmaking across accounting technology. French accounting platform Pennylane raised $205 million in January at a $4.25 billion valuation, backed by TCV, Blackstone, and Sequoia. Ramp, the corporate spend management company, reached a $32 billion valuation after raising $300 million late last year, its fourth raise of 2025 alone. Capital One acquired corporate card and expense platform Brex for $5.15 billion. And last month, AI tax startup Juno closed a $12 million seed round. The accounting software sector now counts more than a dozen unicorns globally, according to industry data, and the pace of new funding has accelerated as investors look for AI-native companies capable of replacing manual financial workflows at scale.

Fazeshift is targeting accounts receivable, a function that, despite its importance to corporate cash flow, remains largely manual at most companies, according to the firm. There are more than a million AR clerks in the United States alone, the company said, and the majority spend their days moving between enterprise resource planning systems like NetSuite, CRM platforms like Salesforce, bank portals, and email threads. These systems do not natively communicate with each other. Unlike accounts payable, which a company can largely standardize on its own terms, accounts receivable requires adapting to each customer’s specific invoicing and payment requirements. CEO Caitlin Leksana has described it as a “snowflake” problem, one that has historically resisted software-driven automation.

“Finance teams are still spending days reconciling a single payment across hundreds of invoices,” Leksana said. “This is critical work that remains largely unsolved by software.”

Leksana founded the company in 2023 with Timmy Galvin, its CTO. The two met at Harvard Business School. Leksana previously worked as a consultant at BCG and holds degrees in mechanical engineering. Galvin holds two computer science degrees from MIT, spent seven years as a nuclear submarine officer in the U.S. Navy, taught cybersecurity at the Naval Academy, and holds a software patent for data algorithms. Before Fazeshift, the pair ran a startup called Carma, where they said they found themselves tracking payments for ten customers on color-coded spreadsheets.

The platform sits on top of a company’s existing technology stack as an execution layer rather than introducing another system of record. Its AI agents handle invoicing, collections outreach, payment matching, reconciliation, and customer communication across the tools finance teams already use. Fazeshift said its technology automates more than 90% of manual AR tasks. Rather than surfacing recommendations for a person to act on, the agents execute workflows directly, placing the company in a cohort of AI startups moving from the copilot model into autonomous operation.

“What sets us apart is our ability to handle complex workflows that other tools fail to solve,” Leksana said, “especially in industries like wholesale, construction, staffing, and HVAC, where AR processes are highly fragmented and manual.”

The company said it has grown revenue twelvefold over the past year and now serves dozens of enterprise customers, including eight valued at more than $1 billion. Clients include Sigma Computing, Snyk, Meter, and Clipboard Health, alongside one of the largest independent wholesale distributors in the southeastern United States, the world’s top e-commerce aggregator, and a global leader in music publishing, according to the company. Fazeshift said it automated more than 9,000 customer communications in a single day for one client and helped collect $7.4 million in cash within weeks of deployment for another.

Rocio Wu, a partner at F-Prime Capital, said the firm was drawn to the gap between how critical accounts receivable is to corporate cash flow and how little the underlying workflows have changed.

“You’d be surprised how many Fortune 500 companies only started adopting software a few years ago and still have dozens, if not hundreds, of AR clerks on staff,” Wu said. “That gap between how critical the function is and how broken the workflows remain is exactly the kind of opportunity we look for.”

Wu described the founding team as having built the platform they wished they had at their previous company. “When you meet founders like that, you move fast,” she said.

Accounting technology startups have benefited from broader investor interest in AI software that can operate autonomously rather than serve as an assistant. Capital flowing into the sector has concentrated into fewer, larger bets on companies with demonstrated traction, a pattern visible in the recent raises by Pennylane, Ramp, and now Fazeshift. OpenAI announced a partnership with PwC during the same period to build AI agents for corporate finance functions including forecasting, planning, and payments.

Fazeshift said it views accounts receivable as its entry point. Leksana said the long-term plan is to expand into a broader set of CFO functions. “We’re building toward a future of autonomous finance where core operational work is executed by AI,” she said, “and human teams can focus on agent management, strategic work, and governance.”

The company said it plans to use the new funding to hire and to accelerate product development. It did not disclose its valuation.