
Transforming Credit Evaluation and Management with Agentic AI
Description
This IDC Perspective explores the transformative role of agentic AI in credit evaluation and management, highlighting AI agents' ability to autonomously orchestrate multiple AI tools and enable continuous, dynamic credit monitoring. By integrating RPA, ML, and generative AI, financial institutions can achieve greater accuracy, speed, and adaptability in credit processes while addressing challenges such as cost, governance, and explainability. This report provides practical advice for technology buyers navigating the evolving landscape of AI-driven credit management."Agentic AI enables the transformation of credit evaluation from a static event to a dynamic, continuous process — reshaping risk and accuracy. With the ability to combine data from various sources, agentic AI can boost the future of financial decision-making and predictive credit risk analysis," said Maria Adele Di Comite, research director, IDC Financial Insights.
Table of Contents
12 Pages
Executive Snapshot
Situation Overview
What Are AI Agents?
Why Use AI Agents in Credit Evaluation: The Shift to Continuous Monitoring and Dynamic Reevaluation
AI Agent Use Case: Credit Application, Evaluation, and Continuous Monitoring
Challenges
Advice for the Technology Buyer
Learn More
Related Research
Synopsis
Search Inside Report
Pricing
Currency Rates
Questions or Comments?
Our team has the ability to search within reports to verify it suits your needs. We can also help maximize your budget by finding sections of reports you can purchase.