An Introduction to Practical O2C AI Autonomous Agents
When a portfolio company cannot produce a single DSO figure across its operating entities, the trapped cash is not theoretical. It surfaces at exit as a working capital adjustment, priced by the buyer.
Roughly $600 billion sits trapped in accounts receivable across the top 1,000 U.S. public companies, up 54% since 2018. Top-quartile performers collect 18 days faster than the median. And 83% of firms have still not fully automated accounts receivable.
The issue is not a lack of attention to value creation. Pricing, procurement and headcount have been worked across the mid-market for a decade; the balance sheet has not. In a buy-and-build platform the obvious fix also creates a paradox: full ERP consolidation runs 18 to 36 months, with 50–75% of projects exceeding budget, timeline or expected benefits. How do you unify receivables across inherited systems when the consolidation takes as long as you own the company?
How PE Firms Can Optimize O2C Performance of Portfolio Companies Using AI gives Operating Partners a practical path: seven order-to-cash AI agents deployed on top of the ERPs a portfolio company already runs.
What This Executive Guide Delivers
- The valuation physics of order-to-cash: the two mechanisms that convert collection days into equity value, with a cash-release matrix from $50M to $500M of revenue.
- The seven O2C AI agents: order, credit, invoicing, cash application, collections, deductions and analytics — each with its leakage point, what the agent does, and the KPI it moves.
- A self-administered diagnostic: three questions and five data points that already exist in any AR system, resolving to one of five entry-point patterns. Deductions lead in consumer goods; cash application leads in distribution.
- A vendor-neutral evaluation scorecard: seven criteria for judging any O2C capability, including the three that separate platform-suitable from enterprise-suitable.
Order-to-cash AI: common questions
What is an order-to-cash AI agent?
An order-to-cash AI agent performs a receivables task end to end rather than producing a worklist for a person. Agents cover order capture, credit, invoicing, cash application, collections, deductions and analytics, and escalate only the exceptions that need human judgment.
How much cash does reducing DSO release?
Cash released equals annual revenue divided by 365, multiplied by the days of DSO reduction. A $250M revenue company reducing DSO by 20 days releases about $13.7M in cash.
Can AR automation work across different ERPs in a buy-and-build platform?
Yes. An ERP-agnostic overlay connects above existing systems such as SAP, Oracle, NetSuite, Microsoft Dynamics and Sage, normalises the customer master across entities, and produces one roll-up DSO without replacing any back-end system.
