From AI-assisted technology development and automated collections to credit decisions in as little as 15–30 minutes, NBFCs are reporting measurable gains from artificial intelligence. However, executives at the ETBFSI NBFC Leaders’ Retreat 2026 said scaling AI-led lending will depend on cost economics, reliable data, risk controls and human accountability.
Artificial intelligence is moving beyond pilot projects across NBFCs, enabling faster credit decisions, more efficient customer engagement and greater automation of technology operations. However, lenders cautioned that automating processes does not mean handing over lending decisions to machines. Industry leaders at a panel discussion at the ETBFSI NBFC Leaders' Retreat, moderated by ETBFSI Editor Amol Dethe, said the next phase of AI adoption would be measured by its impact on productivity, credit quality and profitability, rather than the number of processes automated. AI delivers gains across technology and operations Advt
AI is increasingly being deployed beyond customer-facing applications, with lenders reporting improvements in software development, infrastructure costs and operational efficiency. Animesh Sharma, CTO, Indifi said more than 40% of Indifi’s technology team's output had been generated with AI assistance over the preceding two to three quarters, covering code generation, quality assurance and performance optimisation. AI-assisted identification of processing bottlenecks helped improve the performance of certain batch jobs by approximately 90%. Performance optimisation also contributed to a roughly 30% reduction in hosting costs over the preceding three quarters, Sharma said.
Indifi has also been testing AI in sales and operational workflows, with one sales-related pilot delivering a 40% improvement in operational efficiency.
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