Daylit has launched its AI agents platform for accounts receivable (AR), enabling finance teams to accelerate collections and transform receivables into a strategic driver of working capital performance. Early adopters have reportedly increased collections on high-risk accounts by nearly 3x, reduced manual follow-up work by more than 40 hours per week, lowered AR operating costs by more than 75%, and achieved email reply rates of approximately 50%—more than triple the industry average of 15%.
Finance teams are dealing with delayed payments, leaner headcount, and increasing pressure to forecast cash accurately, but most AR systems still only show what’s owed without helping teams act on it. The platform serves as an end-to-end execution layer across AR workflows that gives finance teams a definitive source of truth to see what is owed, understand why it hasn’t been paid, and automatically take action without the manual effort of tagging accounts, drafting emails, or pulling reports across systems.
“As invoice volumes grow and payment cycles become more unpredictable, finance teams need systems that don’t just surface problems but actively solve them,” said Jared Shulman, CEO and co-founder of Daylit. “We built Daylit because AR is one of the clearest places where AI agents can move from suggesting actions to actually driving outcomes by sending the right message, at the right time, through the right channel, without someone having to manage every step.”
By connecting directly to a company’s ERP, CRM, and communication channels, Daylit enables finance teams to:
Identify risk early – The platform flags accounts that show signs of delayed or missed payment, based on their history, communication patterns, and real-time signals—before they become write-offs.
Take action automatically – AI agents autonomously handle follow-ups across email, phone, and text by pulling in invoice history, documentation, and prior commitments to send accurate, context-aware outreach without manual intervention.
Improve cash visibility – Cash flow projections are updated continuously as new payment data, communications, and customer behavior are received, providing finance leadership with a real-time picture of where receivables stand.
“The technical challenge in AR isn’t generating a message. It’s understanding account context, customer behavior, payment commitments, and escalation paths well enough to act responsibly on behalf of the business,” said Jerry Shu, CTO and co-founder of Daylit. “Our agents learn how each customer pays—when they respond, what channels work, whether they follow through—and adapt over time. They get smarter with every interaction, so collections keep improving without extra effort.”
Daylit’s AI agents are available now. The launch builds on the company’s $110 million funding round in September 2025, led by Companyon Ventures with participation from NextView Ventures, SixThirty Ventures, Viola Credit, and executives from Meta and Yelp.
