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- How Banks Are Modernizing Credit Decisions
How Banks Are Modernizing Credit Decisions
The shift from static scoring to real-time decisions.
A Guide to AI-Powered Credit Scoring for Banks
AI-powered credit scoring is improving how banks assess borrower risk, using real-time data and advanced algorithms to make faster, more accurate decisions. Unlike traditional models, AI adapts to various risk factors, improving the accuracy and consistency of credit assessments.
These systems also help banks maintain regulatory compliance with built-in transparency while streamlining credit application workflows. By scaling efficiently, AI-powered scoring can handle larger volumes without sacrificing quality.
Learn how AI is changing credit scoring and explore its benefits:
In Case You Missed: The Key to Automating Enterprise AI ft. Ankur Patel & Tim Piemonte
What’s the secret to scaling AI agents across financial services operations?
In a special episode of theCUBE, hosted at the NYSE Wired studio, Ankur Patel, CEO of Multimodal, and Tim Piemonte, President of Tribeca Softech, sat down to discuss how AI agents are transforming financial services.
In this session, they explored how orchestrating intelligent agents across systems, optimizing operational workflows, and ensuring robust security can unlock unprecedented value for financial institutions.
It covered:
Why AI agents are the key to automating end-to-end workflows in financial services
How AI can reduce time-to-quote and boost conversion rates in lending
The challenges of orchestrating agents across disparate legacy systems
Why businesses are moving beyond AI experimentation to focus on ROI and measurable outcomes
Insights on scaling AI with domain-specific expertise and without increasing headcount
The evolving role of AI in driving revenue, not just reducing costs
How an Automated Credit Decisioning System Works
Automated credit decisioning speeds up the process by ingesting, validating, and analyzing applications, highlighting only the key data points.
It ensures consistent policy enforcement, with decisions made against identity checks, eligibility rules, and policy thresholds. Final decisions come with confidence scores and full audit trails, reducing risk and improving efficiency.
Want to see it in action?


