Axis Finance Launches AI Monitoring of Collection Calls, Improves ‘Interaction Oversight’

Axis Finance announced the rollout of a fully AI-led quality monitoring framework for its collection calls, aimed at elevating customer protection, strengthening compliance, and reinforcing fair, transparent and responsible communication during repayment interactions.

Collection calls are among the most critical customer touchpoints in the lending lifecycle. With this implementation, outbound collection calls are now monitored, analysed and assessed to ensure conversations are conducted in an appropriate, respectful and consistent manner, aligned with responsible collection practices and internal governance standards. This transition marks a shift from limited manual call sampling to technology-enabled monitoring at scale, enabling stronger and more consistent supervision across customer interactions.

“This system will enable a shift from limited sample-based monitoring to automated, broader coverage. In collections, it will support smarter supervision at scale, while strengthening consistency and accountability. From customer experience, it will support more consistent communication, compliant and conduct-led interactions and higher-quality customer conversations,” said Sai Giridhar, Managing Director & CEO, Axis Finance Limited exclusively speaking with FE FUTECH. 

This AI-enabled framework provides deeper insights into customer conversations, guiding teams on appropriate follow-up actions. It enables standards-driven communication, compliant and conduct-led interactions, and higher-quality customer conversations, while supporting proportionate engagement, reducing repeat outreach and improving clarity across the collections process.

Improvement in Customer Interactions

By transitioning from limited sampling to larger call coverage, Axis Finance has significantly strengthened accountability and oversight across customer interactions. The framework has been designed with a governance and compliance-first approach, reinforcing responsible collection practices and strengthening customer protection across the collections process. Calls flagged for potential deviations from expected conduct are identified and escalated through a structured review process, enabling prompt and appropriate corrective action, where required. 

The initiative also supports a more uniform and trustworthy customer experience. Insights from monitored conversations help address recurring customer concerns and reduce friction during repayment discussions. The AI-led monitoring framework has been deployed in a live, high-volume collections environment as part of Axis Finance’s broader efforts to strengthen operational governance across customer-facing functions.

“Calls are monitored against pre-set regulatory parameters. AI-led inputs are shared with supervisors, who review the findings and decide the appropriate action, thereby ensuring compliance,” informed Giridhar.

AI is as good as the quality of data provided, when asked about the data strategy for this initiative, Giri said, “The speech analytics system uses data from recorded conversations to generate insights. Based on historical information and outcomes, the system would be further enhanced to provide more relevant insights.”

NBFCs Using AI in Collections Call Monitoring

During Q3 FY26, several prominent NBFCs disclosed the use of AI in their collections processes. Bajaj Finance revealed that its AI systems were leveraged across customer interactions and collections workflows. Tata Capital disclosed that it had moved beyond pilots to enterprise-wide deployment, with voice-based, agentic AI platforms deployed specifically across sales, customer service, and collections. Poonawalla Fincorp spoke about an "AI-first" approach covering underwriting, customer interaction, and operational workflows, including collections. L&T Finance also highlighted the role of AI in overall collections monitoring, with its technology stack playing a key role in keeping portfolio health in check.