Insights and Updates

Tune In: Credit Pulse x TCLM Podcast
Jordan Esbin, CEO of Credit Pulse, joins the TCLM podcast to discuss AI-powered credit risk, B2B automation, and the future of credit management.
AI-powered credit risk management is the use of machine learning, alternative data signals, and automated monitoring to assess, score, and continuously track the creditworthiness of B2B customers — enabling faster decisions and earlier identification of financial distress than traditional manual reviews.
In this episode of the TCLM Podcast, we dig into how AI is reshaping B2B credit operations — from risk scoring to portfolio monitoring to the future of the credit manager role.
What Topics Does the TCLM Podcast Cover?
The TCLM (Trade Credit & Lending Matters) Podcast features conversations with credit leaders and fintech experts on the trends, tools, and practices redefining commercial credit risk management.
About TCLM
The TCLM Podcast covers the intersection of trade credit, technology, and risk management for B2B finance professionals.

Credit Pulse is an AI-powered credit risk intelligence platform for B2B finance and credit teams.
For more information, visit www.creditpulse.com.
Frequently Asked Questions
What is AI-powered credit risk management?
AI-powered credit risk management uses machine learning models and alternative data signals to assess and continuously monitor the financial health of B2B customers. Unlike static scorecards, AI systems update risk scores in real time as new payment behavior, financial filings, and market signals emerge.
How does AI improve B2B credit decisions?
AI improves B2B credit decisions by processing more data sources faster than manual review allows — including trade payment history, UCC filings, financial statement trends, and news signals. This enables credit teams to approve customers more quickly, set appropriate limits, and flag deteriorating accounts before a payment is missed.
What data does an AI credit risk platform use?
AI credit risk platforms typically combine traditional data (business credit reports, financial statements) with alternative signals (trade payment patterns, court filings, job posting trends, and social signals) to build a more complete picture of a customer's current financial health.
Can AI replace credit analysts?
AI augments credit analysts rather than replacing them. Routine decisioning on lower-risk accounts can be automated, freeing analysts to focus on complex accounts, relationship management, and exception handling where human judgment is most valuable.
What is the TCLM Podcast about?
The TCLM (Trade Credit & Lending Matters) Podcast covers the intersection of trade credit, technology, and risk management for B2B finance professionals. Episodes feature interviews with credit leaders, fintech founders, and industry experts discussing trends reshaping commercial credit operations.
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