GlobalData’s Celent division has issued a report entitled: Infusing Loan Servicing Platforms With Artificial Intelligence- How Lenders Are Transforming Loan Servicing for the AI/ML, GenAI, and Agentic Era
As financial institutions renovate legacy mainframe-based systems, they face a dual mandate to replace or modernise core servicing technology while embedding AI as a foundational capability. Adoption rates for GenAI and agentic AI are accelerating faster than prior automation waves, increasing pressure on institutions to modernise platform architecture more quickly.

The strategic imperative is to modernise and AI-enable in parallel. Institutions upgrading legacy platforms should simultaneously enhance data infrastructure and deploy high-value AI use cases, while those implementing new cloud-native cores must design AI into both incumbent and next-generation environments during transition.

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Case studies from Rocket Mortgage and a large European Bank (using Sopra Banking Software) illustrate how centralised, governed data architectures enable AI-driven servicing transformation.

Why It matters

GenAI and agentic AI solutions are being developed and implemented rapidly, and more quickly than ML and RPA. Loan servicing platform architecture must also be modernised more quickly to take advantage of AI’s positive impact on operational efficiency, customer engagement, and automated decisioning. At the same time, lenders need to build for today, but design for tomorrow.

This loan servicing technology trends assessment builds on the report findings in the Celent report, Next Generation Loan Servicing Platforms: A Primer on Loan Servicing Processes and Technology, and How to Modernize Them to Future Proof Lending. That report analyses how loan servicers are progressively modernising their legacy, mainframe-based loan servicing systems or are evaluating, testing, and deploying new cloud-native, API-driven, and more AI-ready servicing platforms. Here, Celent builds on that report’s analysis by adding the requirement to modernise servicing technology for AI.

Further information on assessing the full report is available via this link.

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