Problem

Fazeshift solves the persistent manual-work problem in accounts receivable. At many companies, finance teams still rely on spreadsheets, emails, PDFs, and disconnected ERP, CRM, invoicing, and payment systems to generate invoices, chase customers, match payments, and reconcile accounts. The pain is operational and economic: staff can spend days reconciling a single payment across hundreds of invoices, while slow collections increase days sales outstanding, delay cash inflows, and force companies to add headcount as they grow.

The clearest use case is enterprise payment reconciliation and collections. Complex payer structures, parent-child relationships, partial payments, payments covering multiple invoices, and inconsistent customer or trade names make cash application especially labor-intensive. Automating these workflows helps companies get paid faster, reduce outstanding receivables, and expand AR capacity without proportionally expanding the finance team.

Product / Service

Fazeshift is an AI-native accounts-receivable platform built around autonomous agents. Its agents operate across the ERP systems, CRMs, email tools, and payment platforms that finance teams already use, then execute work rather than merely surface recommendations. The platform can generate invoices, extract billing information from contracts, send personalized reminders and dunning communications, match incoming payments to invoices, reconcile transactions, update systems, and manage escalation workflows.

The product is modular: companies can use separate or bundled capabilities such as cash application, collections, billing, onboarding, and credit-risk workflows, with pricing tailored to their needs. Fazeshift says its automation reduces manual AR work, improves cash flow and payment speed, and increases team capacity; its site advertises outcomes including a 50% DSO reduction, 40% faster average payment time, and three times more AR capacity per FTE.

Market

Fazeshift competes in accounts-receivable automation and the broader AI-for-finance or autonomous-finance market, with a longer-term ambition to become part of a broader CFO suite. Relevant alternatives include BILL AP/AR, Billtrust, Invoiced, Agicap, Square Point of Sale, and larger finance platforms such as Sage Intacct and Zuora; G2 categorizes Fazeshift primarily within accounts-receivable software. Its positioning is differentiated by using agents to execute end-to-end invoice-to-cash workflows across existing systems rather than focusing only on reporting, payments, or workflow triggers.

Fazeshift is not pre-revenue. Founded in 2024 and a participant in Y Combinator's Summer 2024 batch, the company had more than 30 customers and 20%–30% monthly ARR growth by 2025. In May 2026 it announced a $17 million Series A led by F-Prime, bringing total funding to $22 million; it reported 12x revenue growth over the preceding year, dozens of enterprise customers including eight unicorns, and automation of more than 90% of customers' manual AR tasks. Named customers include Sigma Computing, Snyk, Meter, and Clipboard Health.