Daylit Pushes Accounts Receivable Into Autopilot

Key Takeaways

• AI agents triple high‑risk collections.
• Manual follow‑up reduced by 40+ hours weekly.
• AR operating costs cut over 75%.
• Email reply rates reach 50%, far above 15% average.
• Real‑time cash forecasts enhance treasury liquidity planning.

Summary

Daylit unveiled AI‑driven agents that automate the accounts‑receivable workflow, linking ERP, CRM, email, phone, text and banking systems to flag delinquency risk, launch outreach and refresh cash forecasts instantly. Early adopters report collections on high‑risk accounts rising nearly threefold, manual follow‑up dropping by more than 40 hours per week, and operating costs slashing over 75 %. Email response rates climb to roughly 50 % versus the 15 % industry norm, turning AR from a back‑office record into an active working‑capital lever. Over 200 firms have reclaimed hundreds of millions of dollars using the platform.

Pulse Analysis

Daylit’s new AI agents arrive at a moment when corporate finance departments are grappling with soaring invoice volumes and increasingly erratic payment cycles. By embedding directly into existing ERP and CRM ecosystems, the solution eliminates the data silos that traditionally slow collections, allowing real‑time identification of delinquent accounts and immediate, channel‑optimized outreach. This shift from a passive record‑keeping system to an autonomous collection engine reflects a broader move toward AI‑enabled working‑capital management across the enterprise.

Performance data from pilot customers underscores the tangible benefits. Collections on high‑risk accounts have surged close to three times the prior baseline, while finance teams report a reduction of over 40 hours of manual follow‑up each week. Operating costs associated with accounts receivable have dropped more than 75 %, and email engagement has leapt to 50 %—far exceeding the 15 % industry average. For treasury professionals, the continuous cash‑forecasting capability translates into tighter liquidity planning, reduced forecast variance, and the ability to reallocate capital more efficiently.

The launch also signals the maturation of AI in the quote‑to‑cash space. Backed by a $110 million funding round and a recent SOC 2 Type I audit, Daylit demonstrates the security and scalability that large enterprises demand. As more vendors push beyond simple email automation toward semi‑autonomous execution, finance leaders should evaluate solutions on integration depth, compliance posture and measurable ROI. Companies that adopt such technology early are likely to gain a sustainable advantage in cash conversion cycles and overall financial agility.