Industry Leaders Call AI-led CX To Drive Revenue

At the ETCIO Annual Conclave 2026 session titled "CX That Pays: Designing AI-Led Experiences That Grow Revenue, Retention, and Trust," business and technology leaders debated the role of AI in customer experience, the session was moderated by Shipra Malhotra, Editor, ETCIO. Praveen Shrikhande, CDIO, Aditya Birla Fashion & Retail, said customer experience in fashion and retail has become increasingly digital and omnichannel and needs faster, relevant responses across ecommerce and physical channels. Shashi Mohan Singh, CDO, Reliance Consumer Products, said AI helps consumer businesses optimise service cost while improving personalization and that customer metrics are moving beyond satisfaction to include purchase behaviour, order frequency, product availability, revenue contribution and upsell opportunities. Singh stated, "AI can help offer the right product at the right time, at the right price and at the right frequency for the customer." Kayzad Hiramanek, COO, Edelweiss Life Insurance, said trust is central in insurance and commented, "AI can play an effective role, but it cannot replace the entire relationship with the customer." Dr. Tejasvi Addagada, SVP & Head-AI, HDFC Bank, said responsible AI in financial services must be designed around governance, consent and customer need, and that AI-led experience cannot be reduced to chatbots alone.

Companies implementing AI for customer experience typically combine personalization, orchestration, and governance stacks. Industry-pattern observations: teams commonly rely on customer-data platforms, feature stores or embedding stores, and real-time decisioning to deliver contextual offers at scale. Observers note that measurement frameworks often shift from NPS alone to revenue-linked metrics such as conversion lift, repeat-purchase rate, and lifetime value when CX is tied to commercial outcomes.

For practitioners, the speakers' emphasis on omnichannel tracking, personalization tied to purchase behaviour, and explicit trust requirements reflects broader enterprise priorities: balancing automation with human empathy and regulatory compliance. Industry-pattern observations: regulated sectors such as banking and insurance add an extra layer of governance, increasing demand for explainability, consent management, and audit trails in production ML systems.

• •Adoption of governance tooling and consent frameworks across CX pipelines.
• •How teams link personalization experiments to revenue contribution and retention metrics.
• •Vendor moves that integrate real-time orchestration, privacy controls, and measurement into single platforms.

All on-the-record quotes and attributions above are reported from the ETCIO coverage of the ETCIO Annual Conclave 2026 session "CX That Pays."