Find the billing patterns quietly draining collectible revenue.
Enterprise finance and revenue operations departments lose millions annually to uncollected invoices, billing discrepancies, delayed payment cycles, and subtle churn signals. Finance teams can upload raw payment gateway logs, ERP billing histories, contract terms, and dunning communication records. The data preparation engine cleans messy invoice line items while relational metrics calculate the intersecting factors between payment terms, client industry, and late payment probability.
Steeped AI maps nuanced concepts across free-text billing dispute notes and customer correspondence, including pricing confusion language, contract term misalignment, auto-renewal frustration, and payment method friction, with a consistency manual accounts receivable review at scale can never achieve. Finance directors isolate why specific account tiers delay payment, then automate targeted collection workflows, adjust credit terms, and plug the leak.
Use Steeped AI's data preparation to clean messy invoice descriptions, fix inconsistent date formats, and handle missing values across sprawling ERP billing logs. When one charge is written six ways across three systems, Steeped AI reconciles it before any leakage analysis runs.
Use Steeped AI's AI topic mapping to turn free-text dispute notes and customer correspondence into measurable concepts like pricing confusion, term misalignment, and auto-renewal frustration. The reason behind a late payment becomes a column you can cross-tabulate against account tier.
Use Steeped AI's journey mapping to give every invoice a measurable path from issue through dunning to payment or write-off. See exactly which step adds days to days-sales-outstanding, so collection effort targets the stage that actually stalls.
Steeped AI's automated metric breakouts calculate the intersecting relationships between invoice payment terms, client contract size, and payment delay probability. Thousands of hardcoded metrics run before you open the platform, with AI never touching the calculation itself.
Steeped AI's regression predictive power pinpoints which early payment behaviors, such as a partial payment on the first invoice, most strongly predict an eventual bad-debt write-off. Credit terms tighten on evidence rather than on a collector's hunch.
Steeped AI's talk to your data lets a revenue operations lead ask which billing terms drive the lowest days-sales-outstanding and get ranked, mathematically verified findings back. Answers are pulled straight from the real ledger, never generated.

Ask your data anything. Get real findings ranked by impact, with AI reports your team can present and share on the spot.