Where India's FinTech Future Gets Built.
Rootle at Bharat FinTech Summit 2026
The conversations. The curiosity. The possibilities. Two days at JW Marriott Sahar with the people driving India's financial services transformation.
India's Premier BFSI Conclave,
Largest Edition to Date
Presented by The Digital Fifth, BFS 2026 brought together regulators, banks, NBFCs, fintech innovators, and technology leaders for two days of high-stakes conversations in Mumbai.
The Bharat FinTech Summit is India's dedicated BFSI industry conclave, built around substantive dialogue rather than broadcast. The 2026 edition was its largest to date, spanning three full tracks at JW Marriott Sahar across February 10 and 11: Transformation, Payments and Investment, and Lending, Risk and Compliance.
The agenda covered AI and ML deployment in financial services, DPDP compliance frameworks, cross-border payments, MSME finance, and the evolving regulatory environment shaping how banks and fintechs build together. Sessions moved between keynotes from India's most senior financial services leaders, panel discussions with founders and investors, live product demos, and workshops that went well beyond surface-level discussion.
For Rootle, BFS is the sharpest possible audience for voice AI in financial services. Every person in that room either builds, deploys, funds, or regulates the systems that our agents work alongside. The conversations reflected that precision.
Voice AI Where FinTech
Decisions Get Made
The BFS floor puts you in front of the people who build and buy financial services technology at scale. That is exactly where voice AI needs to be shown.
Vikram, Dhaval, and Rahul spent two days on the BFS floor engaging with banks, NBFCs, lending platforms, and fintech founders who are actively deploying AI inside their customer operations. The context was specific: teams dealing with regulatory scrutiny, high call volumes, and customers who demand resolution, not redirection.
Voice AI for payment reminders, loan query handling, collections follow-up, and after-hours support resonated immediately. Not as a future capability, but as a deployable answer to problems the room was actively solving. The conversations moved fast.
How does your voice AI handle sensitive financial conversations under DPDP?
Can it work across Hindi, Gujarati, Tamil, and Marathi without degrading accuracy?
What does a collections use case look like in terms of recovery uplift?
How quickly can we go live on our existing telephony without rebuilding the stack?