FinTech Central · A FutureCentral publication
Make better AI decisions in financial services.
Evidence-based analysis and practical guidance for Indian financial-services leaders choosing where AI creates value, how to deploy it and how to manage risk.
What financial-services decision are you working on?
Start with the question in front of you. Explore enterprise value, customer journeys, operations and responsible adoption through six routes.
India Financial Services AI Tracker
Follow evidence-linked signals across banking, payments, lending, insurance, risk and wealth—without speculative rankings.
Explore the tracker →Selected practical guides
Start with these published guides to India Stack, agentic insurance and grounded financial AI.
Understand India Stack as AI infrastructure
See how identity, payments, consent and digital public infrastructure can support smarter financial services in India.
Read the India Stack guide →Evaluate agentic insurance
Explore where autonomous workflows may improve insurance shopping and servicing—and where oversight still matters.
Read the agentic insurance guide →Ground financial AI with reliable evidence
Learn how retrieval-augmented generation can connect model outputs to controlled financial-services knowledge.
Read the RAG framework →Latest financial AI analysis
Our most recently published articles, with concise summaries to help you choose what to read next.
Why Trustworthy Investment Models Should Sometimes Refuse to Give an Answer
Valuation reliability starts with a simple question: does the evidence support the answer? A trustworthy investment model should sometimes decline to publish a fair-value estimate. By Gil Levy A precise answer can…
RBI Technology Risk: 5 Questions for Bank Boards
RBI technology risk guidance now puts AI, bank systems, and outside vendors on the board agenda. The core idea is simple. A bank must know how its technology can fail and how…
Insurance AI Audit: 6 Critical Tests Regulators Will Apply
An insurance AI audit now starts with evidence. Regulators want to know which models an insurer uses, what risks they create, and whether controls work in daily operations. The National Association of…
A Banking AI That Works Once Is Not Reliable
Banking AI reliability demands more than one successful result. Banks now test assistants that can retrieve account data, choose tools, and initiate actions. A new India-focused benchmark shows why repeated success matters…
Agentic KYC in Private Banking: What Banks Should Automate
Agentic KYC can speed up private-bank checks. An AI agent can find company records, map owners, and build a case file. Yet a person should still decide whether the bank accepts the…
AI Payment Controls: How Banks Can Make Agentic Commerce Safe
AI payment controls decide whether an agent can spend a customer’s money. The payment is only the last step. Before that, an AI agent may search, compare, choose a seller, and start…
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