Sahamati Labs partners with Google Cloud to embed AI in account aggregator framework
29 Sep 2025, 03:22 PMAs part of the collaboration, an AI Center of Excellence will be established that will develop solutions across lending, insurance, and wealth management sectors.
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Sahamati Labs, the research and innovation division of the account aggregator (AA) industry body Sahamati, has joined forces with Google Cloud India to embed artificial intelligence capabilities into the AA framework.
As part of the collaboration, an AI Center of Excellence will be established that will develop solutions across lending, insurance, and wealth management sectors.
The initiative aims to position India's AA framework, which currently facilitates data sharing for over 2.12 billion accounts, as a reference model for AI-driven financial services globally.
AAs act as intermediaries that facilitate the consented, secure flow of financial data between financial information providers (FIPs) like banks and financial information users (FIUs) like lending institutions.
Sahamati Labs will leverage Google Cloud's generative AI tools to build predictive analytics models, customized financial recommendations, and fraud detection systems.
The partnership also taps into Google Cloud's privacy-preserving technology to ensure sensitive financial data remains confidential while being shared across the ecosystem.
Support for Indian regional languages across Google's AI services forms another part of the collaboration, designed to remove language and literacy obstacles to financial access.
BG Mahesh, CEO of Sahamati, stated that embedding AI into the AA framework positions India to establish another global standard in financial inclusion.
Sashi Sreedharan, Managing Director of Google Cloud India, emphasized the company's commitment to making financial services more secure and accessible through AI integration.
Kiran Gopinath, who heads Sahamati Labs, highlighted that their AI-driven solutions address ecosystem-wide challenges, from generating predictive insights to preventing fraud in real-time.