After years of investment in AI, GBS leaders are being asked to prove it moved the cash. That's hard to do when the scoreboard is an average. In a study with a16z across billions of dollars in live B2B receivables, two companies both had a DSO in the 40s. One company's slowest invoices paid the same day. The other's took 599 days.

This session goes to the data from the ledger and the inbox. It shows where overdue money actually concentrates, what AI agents and people each handled across the collections process, and which outcomes to measure so AI's impact holds up in front of the CFO.

Key takeaways

1. Why a single DSO number can hide a stuck receivables book, and the five metrics that show where the cash is and what it costs to collect it

2. What agents and people each owned in collections, from the first ask to the last dispute, with measured results on capacity and automation

3. How to prime your AR book for AI, from white-glove strategic accounts to the long tail, with the governance and audit trail to scale it with confidence