In the BFSI sector, Axis Max Life Insurance partnered with GreyLabs AI to deploy the GreyLabs Voice AI Suite for analysing customer conversations at scale. The AI-led deployment enabled the insurer to assess 100% of meaningful sales calls, generating customer intelligence that contributed to a nearly 15% improvement in sales conversions, while also strengthening agent performance and informing product design.
Background
Over the past five years, Axis Max Life has expanded its digital life insurance business significantly. Its online business has grown tenfold, with digital channels now contributing around 15% of the company’s Annualised Premium Equivalent (APE). Today, one in three new customers is acquired digitally, while the online business is growing at nearly four times the industry growth rate. As digital sales volumes increased, the number and complexity of telesales conversations outpaced traditional manual call review processes. The company sought an AI-driven approach to analyse customer conversations comprehensively and derive actionable business insights.
The Challenge
Axis Max Life wanted to:
- Analyse every meaningful customer conversation instead of reviewing only a sample.
- Better understand customer intent during sales interactions.
- Improve sales conversions through data-driven coaching and engagement.
- Generate insights that could support both product development and customer experience.
The Solution
The insurer deployed GreyLabs AI’s Voice AI Suite across its telesales operations.
The implementation enabled the company to:
- Analyse over 6 lakh customer conversations.
- Process more than 1.4 crore minutes of customer interactions.
- Cover conversations handled by 700+ sales agents.
- Conduct AI-led assessment of all meaningful customer calls.
- Generate contextual follow-up messages based on what customers actually said during conversations.
Speaking on the development, Aman Goel, Founder and CEO, GreyLabs AI, said, “Axis Max Life Insurance has been an exceptional partner, a team that was willing to fundamentally rethink how customer intelligence should work in a regulated industry. BFSI as a sector has historically been cautious about AI adoption and rightly so. But what this deployment demonstrates is that when AI is implemented with the right guardrails, the right intent, and a genuine focus on business outcomes rather than technology for its own sake, the results are transformative. What Axis Max Life has shown is that in regulated industries, AI does not need to replace human judgment, it needs to inform it. That is the model we are building across BFSI.”
Key Insight
One of the most significant findings from the deployment was that the first 90–120 seconds of a sales conversation proved to be a stronger predictor of conversion propensity than customer demographic profiles. The insight enabled Axis Max Life to identify high-intent customers based on conversation behaviour, helping telesales teams focus on what customers expressed during calls rather than relying primarily on demographic information.
Business Outcomes
The deployment delivered measurable business results, including:
- Nearly 15% improvement in sales conversions.
- AI-driven analysis of every meaningful customer conversation.
- Better visibility into agent performance.
- Higher click-through rates for contextual post-call follow-up messages.
- Product design decisions increasingly informed by customer conversations.
The Road Ahead
Building on the deployment, Axis Max Life and GreyLabs AI are exploring additional AI applications across the sales lifecycle, including the implementation of a Voice AI Calling Agent to proactively engage prospective customers and support them through the purchase journey.
Vaibhav Kumar, Head – Product Management and E- Commerce, Axis Max Life Insurance, said, “At Axis Max Life, our digital business is built on the principle of understanding what our customers need. GreyLabs AI’s Voice AI Suite has given us an ability to listen to our customers at scale -not just what they say, but what they mean. The intelligence we’ve gained has helped us serve customers better, design more relevant products, and build more meaningful conversations at every touchpoint. This is exactly the kind of partnership that helps us deliver on our promise to customers.”
