Mumbai: The Digital India BHASHINI Division (DIBD), under the Digital India Corporation (DIC), Ministry of Electronics and Information Technology (MeitY), and the Reserve Bank of India (RBI) have signed a Memorandum of Understanding (MoU) to introduce Banking BHASHINI, a specialised multilingual AI framework aimed at transforming access to banking and financial services across India.
The agreement, signed on 23 February 2026 under the initiative titled “BHASHINI for Seva / Sanchalan – A BHASHINI Sahayogi Program,” marks a significant step toward strengthening multilingual enablement in the financial ecosystem.
Through Banking BHASHINI, the two institutions will collaborate to integrate advanced language AI models into India’s banking infrastructure to promote financial inclusion across diverse linguistic communities.
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Deployment of BHASHINI Models in RBI Ecosystem
Under the MoU, Banking BHASHINI will facilitate the deployment of BHASHINI’s language AI models within the RBI’s ecosystem. The initiative includes co-development of a banking-specific language model tailored to financial terminology, regulatory frameworks, and sector-specific use cases.
The jointly developed domain-specific model, officially titled Banking BHASHINI, will incorporate banking terminology and contextual regulatory frameworks to ensure accurate multilingual communication.
The model is designed to deliver strong contextual accuracy across multiple Indian languages while supporting the development of reference applications and voice-enabled interfaces for banking operations.
By embedding Banking BHASHINI within institutional systems, the RBI and Digital India BHASHINI Division aim to enhance customer engagement, streamline communication, and enable seamless multilingual banking services nationwide.
Enrichment of Linguistic Datasets Through Bhashadaan
A key component of the Banking BHASHINI initiative is the enrichment of linguistic datasets through the “Bhashadaan” initiative. This structured contribution framework will enhance the scalability and performance of multilingual AI systems for institutional use.
The collaboration ensures that Banking BHASHINI remains adaptable to evolving financial sector requirements. These efforts will be carried out under the broader BHASHINI Sahayogi framework, supporting continuous improvement and contextual refinement of AI models deployed in the banking sector.
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Banking BHASHINI: Strengthening Financial Inclusion Across 22 Scheduled Languages
The initiative aims to strengthen multilingual access across all 22 languages recognised under the Eighth Schedule of the Constitution of India.
By leveraging Banking BHASHINI, banking institutions will be better equipped to communicate effectively with citizens in their preferred languages.
This partnership highlights the Reserve Bank of India’s commitment to leveraging indigenous AI capabilities while reinforcing BHASHINI’s role as India’s national-scale Language Infrastructure.
Through Banking BHASHINI, the institutions seek to build secure, interoperable, and inclusive multilingual AI systems for critical governance and institutional domains, with a strong focus on expanding financial services accessibility across the country.
