Daylight launched artificial intelligence agents The accounts receivable (AR) platform enables finance teams to accelerate collections and turn receivables into a strategic driver of working capital performance. Early adopters have reportedly increased collections on high-risk accounts by almost 3x, reduced manual tracking efforts by more than 40 hours per week, reduced AR operating costs by more than 75%, and achieved email response rates of nearly 50%—more than three times the industry average of 15%.
As finance teams deal with delayed payments, reduced headcount, and increased pressure to accurately forecast cash, most AR systems still only show the amount owed without helping teams take action. The platform serves as an end-to-end execution layer in AR workflows, giving finance teams a definitive source of truth to see what’s owed, understand why it’s not being paid, and take action automatically without the need for manual efforts like tagging accounts, drafting emails, or pulling reports across systems.
“As invoice volumes grow and payment cycles become more unpredictable, finance teams need systems that not only uncover problems but actively resolve them.” in question Jared ShulmanCEO and co-founder of Daylit. “We developed Daylit because AR is one of the clearest places where AI agents can go from recommending action to actually delivering results by sending the right message at the right time, through the right channel, without having someone manage every step.”
Daylit connects directly to a company’s ERP, CRM and communications channels, enabling finance teams to:
Detect risk early – The platform flags accounts that show signs of late or missed payments based on their history, communication patterns, and real-time signals before they incur losses.
Take action automatically – AI agents autonomously follow up via email, phone, and text, retrieving billing history, documentation, and previous commitments to send accurate, context-aware support without manual intervention.
Improve cash visibility – Cash flow projections are constantly updated as new payment data, communications and customer behavior are received, providing finance leadership with a real-time picture of where receivables are located.
“The technical challenge in AR is not to produce messages. It is to understand account context, customer behavior, payment commitments and escalation paths well enough to act responsibly on behalf of the business.” in question Jerry ShuCTO and co-founder of Daylit. “Our agents learn how each customer pays, when they respond, what channels work, whether they follow up or not, and adapt over time. They get smarter with each interaction, so collections continue to improve without extra effort.”
Daylit’s AI agents are now ready. The launch builds on the company’s $110 million financing round in September 2025, led by Companyon Ventures, with participation from NextView Ventures, SixThirty Ventures, Viola Credit, and executives from Meta and Yelp.
