AI, data reshape lending operations and credit lifecycle

Banks are replacing disconnected lending systems with integrated platforms that combine artificial intelligence, real-time analytics and API connectivity. Financial institutions are changing how they originate, assess and manage credit across the full lending lifecycle to reach faster decisions, increase visibility and standardise operations.

Chartis Research found that institutions are moving away from standalone point solutions toward unified operating models that link data, processes, systems, partners and staff. That linkage makes it possible to combine internal records with external data sources and give underwriters and risk teams a fuller view of borrower exposures and cash flow without replacing core systems all at once.

Lenders are prioritising AI and automation use cases that affect credit decisioning, continuous portfolio monitoring and servicing. Banks are testing pilots that apply machine learning to credit scoring, automate document workflows and surface portfolio risks, then scaling the pilots that improve decision speed or portfolio performance while keeping operational controls and regulatory compliance in place.

Practitioners describe modernisation as incremental. Common approaches include layering analytics and AI on top of existing platforms, exposing capabilities through APIs and orchestrating workflows across internal teams and third-party providers. Real-time analytics reduce latency for key inputs and allow automated triggers for reviews or remediation.

For portfolio managers, continuous monitoring tools can detect concentration or covenant issues earlier. For loan servicers, connected workflows reduce manual handoffs and help standardise borrower communications. Banks report using API-enabled networks to share data with partners and to automate routine servicing tasks.

An industry webinar hosted with FIS will discuss these developments and how institutions can implement them without replacing core systems. The panel includes Dale Glajchen, VP and Head of Commercial Loan Servicing and Syndication at FIS; Anish Shah, Research Director at Chartis Research; Tim Probst, Global Head of Commercial Loan Servicing, Enterprise and Client Strategy at FIS; and Sharon Kimathi as moderator.

Chartis Research and participants at industry events describe priorities for the next phase of commercial lending transformation as pragmatic integration, stronger cross-functional operating models and selective AI deployment aimed at improving efficiency and decision quality across the credit lifecycle.