Most Indian banks have already run at least one AI pilot. Many are now on their second. The first wave was driven by enthusiasm — proof-of-concepts, demo environments, innovation labs. The second wave is different. CIOs are asking harder questions: Does this integrate with Finacle? Can it handle regional language inputs? Who trains our staff? What does the vendor support look like after go-live?
The AI products that win in Indian banking are not necessarily the most technically sophisticated. They are the ones that fit inside existing risk governance frameworks, work within the data residency constraints of the RBI, and come with a local support model that doesn't require a 9am-5pm London call.
The Post-Pilot Reality
The most common failure pattern we see: a product that performed brilliantly in the proof-of-concept loses the deal at the commercial stage because the vendor couldn't demonstrate local compliance readiness. Indian banks don't penalise you for being foreign. They penalise you for being unprepared.
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