Transfer of unclaimed shares may go digital; AI, data analytics to perform several tasks
The government plans a new digital system for unclaimed shares and dividends. This system will connect various official platforms using application programming interfaces. Artificial intelligence and data analytics will streamline the transfer pro...

The government is developing a digital platform to simplify the recovery of unclaimed shares and dividends, replacing the existing paperwork-heavy process with a consent-based, paperless system.
It's working on a new digital platform to connect the Investor Education and Protection Fund Authority (IEPFA) with the MCA21 portal for corporate filings, depositories, registrars and transfer agents, banks, payment systems, DigiLocker, Aadhaar authentication and other official platforms through application programming interfaces (APIs). Artificial intelligence (AI) and data analytics will be deployed for various tasks, the people said.

Also Read: Have unclaimed deposits, insurance, mutual funds? Government launches single portal to trace forgotten assets
Companies typically transfer shares, dividends and matured debentures that are not claimed for seven years to the IEPFA. The current IEPFA portal to apply for asset transfers, despite marking a big step-up from the earlier time-consuming system, requires claimants to interact with multiple stakeholders and submit the same documents repeatedly. This prolongs processing timelines because the relevant information is scattered across various platforms.
The new portal would offer a single interface covering the entire spectrum of claim submission, document verification, status check, deficiency resolution, clearance and payment. Through the portal, the corporate affairs ministry also aims to adopt differentiated processing based on risk. This means simple, low-value claims with complete digital verification could be processed faster while more complex cases would undergo detailed scrutiny. It would boost transfers without undermining fraud prevention mechanisms.
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