Inside Axis Bank’s Six-Point GenAI Strategy

Axis Bank has set up a dedicated Business Intelligence Unit (BIU) and a specialised Enterprise AI Centre of Excellence (CoE) to orchestrate its data-driven transformation

The bank’s AI stack is built on a ‘democratised’ model, leveraging a mix of LLMs, SLMs, and traditional ML across 2.5 petabytes of data

A stringent five-point framework, evaluating efficiency, adoption, input metrics, cost reduction, and revenue, governs the transition of AI use cases from pilots to production

Added to Saved Stories in Login VIEW SAVED STORIES .inc42-toggle-item-popup { display: none; position: relative; } .toggle-item-close { text-align: end; padding: 8px 12px 0px 10px; position: absolute; right: 0; cursor: pointer; } .toggle-items-content-main { display: block; position: relative; top: 27px; left: -204px; border-radius: 12px; background: #FFF; box-shadow: 0px 4px 24px 0px rgba(100, 100, 100, 0.25); width: 435px; height: 115px; } .toggle-items-content { display: flex; align-items: baseline; justify-content: center; padding-top: 22px; } .toggle-items-content .items-content-text .h4-saved-story{ color: #000; font-size: 20px; font-style: normal; font-weight: 700; line-height: normal; text-transform: capitalize; margin: 2px 0 10px 6px; } .toggle-items-content .items-content-text .myInc42-plus-dark { width: 100px !important; } .toggle-items-content .items-content-text .myInc42-light { width: 80px !important; } .toggle-items-content .items-content-text img{ height: 22px; } .view-my-feed-btn { width: 100%; text-align: center; display: flex; justify-content: center; } .view-my-feed-btn a { width: auto !important; } .view-my-feed-btn button { border-radius: 4px; background: linear-gradient(180deg, #DA1B4D 0%, #E23026 100%); color: #fff; font-size: 12px; display: inline-block !important; min-width: 162px; width: 162px !important; height: 34px !important; font-style: normal; font-weight: 700; line-height: normal; padding: 10px; cursor: pointer; } .CustomIconStyled { position: absolute; right: 180px; top: -80px; } .SubDropdownModelShare .sub-arrow-icon { width: 76px; height: 80px; position: relative; overflow: hidden; box-shadow: none; } @media (max-width:767px) { .toggle-items-content .items-content-text .h4-saved-story{ margin: 4px 0 10px 6px; font-size: 18px; } .toggle-items-content { align-items: center; } }

If data is the new gold, then banks must glow. 

Sitting on a repository of huge volumes of data, the banking industry has unlocked opportunities beyond areas such as fraud detection, credit scoring, and customer service to let generative AI drive up revenues by anything between 6% and 20% in the next two years.  

As GenAI scales from experimentation to implementation to enterprise-wide reinvention, it has begun unleashing dual tailwinds, pushing banks to improve their efficiency ratio up to 15 percentage points which, in turn, supports the topline growth.  

Axis Bank, the third-largest private sector lender in India, with a market capitalisation of ₹4.14 Lakh Cr, offers a sneak peek into the way the banking industry has embraced AI. In the high-stakes theatre of Indian banking, where precision is not just a preference but a regulatory mandate, Axis Bank is treating AI less like a futuristic ensemble, and more like a core structural pillar. 

In an........

© Inc42