The RBI doesn’t regulate bank statement analysers directly, but strict frameworks like KYC Master Directions, Account Aggregator rules, Fair Practices Code, and Data Protection laws to govern how financial data must be handled. This article explains how lenders can use automated analysers safely while being compliant.

Traditional loan collection channels including SMS, calls, and manual follow-ups , are losing relevance in a digital-first India. With 98% open rates and verified business profiles, WhatsApp offers lenders a faster, trusted, and conversational way to recover dues.

Bank statement analysis powers credit and fraud decisions, but PDF-based methods risk tampering and errors. The RBI’s Account Aggregator (AA) framework offers secure, verified bank data. This article compares both approaches and shows how Digitap’s hybrid model delivers accuracy and speed.

Traditional digital loan journeys lose more than half of applicants to friction. This playbook shows how WhatsApp turns that around. From instant lead capture to real-time verification, lenders can deliver a single-thread, frictionless experience that improves conversions and borrower satisfaction.

RBI’s Account Aggregator (AA) framework provides secure, structured bank data—but it doesn’t “parse” or underwrite for you. This guide explains the core AA APIs (Consent, Data Fetch), common pitfalls, and how Digitap’s FIU-grade API turns raw AA payloads into actionable credit intelligence—fast.

This article explains the compliance framework, technical standards, and monitoring practices BFSI firms need to follow along with how vendors like Digitap help institutions stay compliant while ensuring smooth digital onboarding.

Selecting a VKYC vendor is a strategic decision for BFSI firms, yet many make costly mistakes. This blog explores the top 5 pitfalls—from ignoring RBI compliance and weak security checks to poor tech evaluations and offers a framework for choosing the right partner to ensure compliance, security, and long-term value.