AI Startup Fazeshift Secures $22M to Automate Accounts Receivable
- San Francisco-based artificial intelligence startup Fazeshift secured $17 million in Series A funding on May 7, 2026, to automate accounts receivable (AR) and other financial operations.
- Other participants included Gradient, which is the early-stage AI fund for Google, as well as Y Combinator, Wayfinder, Pioneer Fund, Ritual Capital, and several angel investors.
- Fazeshift intends to allocate the new capital toward product development, the acceleration of its go-to-market strategy, and scaling adoption among enterprise organizations.
San Francisco-based artificial intelligence startup Fazeshift secured $17 million in Series A funding on May 7, 2026, to automate accounts receivable (AR) and other financial operations. This latest round brings the company’s total capital raised to $22 million.
The funding round was led by venture capital firm F-Prime. Other participants included Gradient, which is the early-stage AI fund for Google, as well as Y Combinator, Wayfinder, Pioneer Fund, Ritual Capital, and several angel investors.
Fazeshift intends to allocate the new capital toward product development, the acceleration of its go-to-market strategy, and scaling adoption among enterprise organizations.
Autonomous Execution in Corporate Finance
Corporate finance teams are currently experiencing a structural transition as AI technology evolves from a supplementary tool into an autonomous execution engine. According to the company, accounts receivable remains a heavily manual process at most firms despite its critical importance to corporate cash flow.
Manual AR typically requires large teams to handle the generation of invoices, the pursuit of collections, the matching of incoming payments, and the reconciliation of data across fragmented software tools.
Rather than introducing a separate system of record, Fazeshift operates as an execution layer. The platform integrates directly with a company’s existing email and payment platforms, customer relationship management (CRM) systems, and enterprise resource planning (ERP) software.
The platform utilizes AI agents to execute workflows automatically, including system updates, customer communication, payment reconciliation, and invoice creation.
Operational Impact and Growth Metrics
Fazeshift reports that its platform currently automates more than 90% of manual AR tasks for its users. Over the course of the previous year, the company grew its revenue twelvefold.

The startup now serves dozens of enterprise clients, including eight billion-dollar unicorn startups. Notable customers include:
- Sigma Computing
- Snyk
- Meter
- Clipboard Health
For these clients, the technology has reduced days sales outstanding (DSO) and performed workflows at a scale exceeding human capacity. In specific instances, the platform’s AI agents automated more than 9,000 customer communications in a single day and helped collect $7.4 million in cash within weeks of the initial deployment.
Finance teams are still spending days reconciling a single payment across hundreds of invoices, or logging into portals over and over just to check if something has been posted. This is critical work that remains largely unsolved by software. Fazeshift changes that by operating these workflows directly with AI—starting with accounts receivable, and helping teams transition to an AI-native way of working.
Caitlin Leksana, CEO and co-founder of Fazeshift
Industry Context
The shift toward autonomous finance is part of a broader industry trend. This includes a recently announced partnership between professional services firm PwC and OpenAI to develop AI agents for core corporate finance functions, such as payments, planning, and forecasting.
