Daylit Launches AI Agents for Collections, Targeting Finance Teams' Cash Flow Headaches
Daylit released an AI agents platform for accounts receivable on Tuesday, designed to automate collection work and provide real-time cash visibility to finance teams. Early customers report collecting nearly 3x more on high-risk accounts, cutting manual follow-up work by more than 40 hours per week, and reducing AR operating costs by more than 75%.
Finance teams face mounting pressure: invoice volumes are rising, payment cycles are unpredictable, and headcount isn't growing to match the workload. Most AR systems show what's owed but don't help teams act on it. Daylit positions itself differently-as a system built for execution, not just record-keeping.
The platform connects directly to a company's ERP, CRM, and communication channels. It flags accounts showing signs of delayed payment based on history and behavior, then autonomously sends follow-ups via email, phone, or text. Each outreach pulls in invoice details and prior commitments, so messages are contextual without manual drafting.
What the Platform Does
- Identifies risk early by spotting accounts likely to miss or delay payment before they become write-offs
- Takes action automatically through AI agents that handle follow-ups across multiple channels without human intervention
- Updates cash flow projections continuously as new payment data and customer behavior arrive
Aaron Lynch, VP of Finance at Maintera, a facility management company, said the platform improved current AR by 16% within 30 days without adding staff. "As a PE-backed company, working capital is always top of mind, and missing on collections isn't an option," he said.
Daylit has worked with more than 200 companies and helped recover hundreds of millions in outstanding receivables. The company's AI agents learn how each customer pays-when they respond, which channels work best, whether they follow through-and adapt over time.
The launch follows a $110 million funding round in September 2025 led by Companyon Ventures, with backing from NextView Ventures, SixThirty Ventures, Viola Credit, and executives from Meta and Yelp. Daylit completed its SOC 2 Type I examination in February 2026.
Email reply rates on Daylit's outreach average around 50%, more than triple the industry standard of 15%.
Finance professionals looking to understand how AI agents apply to their workflows should explore resources on AI for Finance and AI Agents & Automation.
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