Leading lenders such as Jio Financial Services are deploying extensive intelligent software agents to enhance risk management, compliance, and audit processes, while accelerating decision times and delivering personalized product recommendations.

Jio Financial Services operates an AI-native infrastructure with about 130 intelligent AI agents and more than 14 agentic AI use cases across risk, compliance, and audit, improving customer experience and reducing turnaround times.

Both Jio Financial Services and Piramal Finance emphasize that AI adoption augments human work rather than triggering mass layoffs, underscoring governance and human oversight as essential.

The report cites Fortune India and LatestLY as sources, noting that verification and confirmation from additional outlets is still needed.

Piramal Finance’s AI-driven collections platform nearly sextuples hands-free monthly collections, rising from ₹84 crore to ₹1,019 crore in the year from FY26 Q1 to FY27 Q1, with AI-enabled disbursals of ₹33 crore in the last quarter.

AI is transforming India's NBFCs by automating lending, collections, and compliance workflows, while aiming to augment human workers rather than replace them.

Piramal Finance is expanding generative AI across operations, including its voice platform and automated engines, to scale transaction volumes and reduce costs without compromising service quality.

Despite extensive automation, industry leaders reiterate there will be no mass workforce reductions, with ML models acting as force multipliers that free staff for higher-value tasks and automate routine processes like document verification and KYC.

AI is moving from pilots to core operations in India's NBFCs, enhancing underwriting, collections, fraud detection, and customer service.

Early adopters like Jio Financial Services and Piramal Finance report substantial gains in efficiency and revenue growth through AI-driven tools.

AI initiatives at Jio Financial Services aim for cost savings and revenue growth, targeting up to 40% reduction in manual effort and a 30% cut in operating costs via Agentic AI.

Piramal Finance reports more than 50 generative AI use cases across underwriting, fraud detection, collections, and customer service, with its voice platform conducting over 4,000 AI-led interviews in a single quarter.