The New Cash Flow Playbook: Why Credit & AR need to work as one in the Agentic Era

Credit decides who to trust. AR chases the cash. And the handoff between them is where cash flow quietly leaks.

For years, finance teams have run credit and AR as separate functions with separate goals. But every credit decision decides what the collection team inherits: how a customer pays, how often they dispute, how much slips into delinquency and bad debt.

Run in silos, both teams work half-blind. Credit rarely sees how customers actually pay. AR inherits risk decisions it had no hand in shaping. And as customer relationships become more dynamic, that disconnect gets more expensive.

Agentic AI changes what's possible here. When AI agents can observe payment behavior as it happens, surface shifting risk signals, and act across both workflows, credit and AR stop operating on separate clocks. Credit policy gets informed by live collections data. Collections strategy adapts the moment risk moves. The two functions can finally work as one to protect your cash flow.

In this session, Credit Pulse and Growfin unpack what tighter credit-to-AR alignment looks like in the agentic era, how leading organizations are putting operational data and AI agents to work across the customer lifecycle.

What we'll cover:

• How credit decisions quietly shape downstream collections, delinquency, and cash flow
• Why real payment behavior belongs in credit reviews, not just financial statements and credit scores
• Practical ways to connect credit and AR workflows without disrupting the processes you already run
• Where AI delivers the most value across the credit-to-cash lifecycle, and where human judgment still wins
• The shared operating metrics both teams should own to lift working capital, cut bad debt, and sharpen forecasting

Whether you lead credit, AR, or finance transformation, you'll leave with concrete ways to build a credit-to-cash process where risk management and cash collection run as one intelligent motion, not two disconnected ones.

‍