Will India’s National AI Ecosystem Lower Barriers for the Finance Sector?

Synopsis
Key Takeaways
- Government initiatives aim to enhance AI access for smaller financial players.
- Four main challenges include data quality, infrastructure gaps, talent shortages, and regulatory ambiguity.
- AI governance is critical, requiring model risk management and fairness programs.
- National projects like AI Kosh will help bridge capacity gaps.
- Only 20 percent of regulated entities have adopted AI technology.
New Delhi, Oct 15 (NationPress) The initiatives by the Central Government to establish a national AI ecosystem are set to make AI resources more accessible for smaller entities in the financial services sector, moving beyond just large players, as detailed in a report released on Wednesday.
The analysis from business consultancy firm Grant Thornton Bharat indicates that this transition necessitates firms to proactively align their operations with these platforms, contributing both datasets and models.
Key initiatives such as the IndiaAI Mission, AI Kosh, the DPDP Act, and the cybersecurity mandates from CERT-In are laying the groundwork for computing capabilities, datasets, data protection, and digital frameworks that financial institutions can utilize, according to the report.
Financial organizations are encountering four main structural challenges: data quality, infrastructure deficiencies, talent shortages, and regulatory uncertainties, the report noted.
For banks and NBFCs, AI emerges as a significant governance topic at the board level, requiring comprehensive model risk management and fairness initiatives. The sector must adopt institutional strategies for managing model risks, creating thorough inventories of AI systems, developing fairness and explainability programs, and incorporating incident reporting into existing supervisory frameworks, as highlighted in the report.
The report emphasizes that national projects like AI Kosh and the IndiaAI Compute Platform are crucial in addressing capacity limitations for smaller institutions. It suggests that capital markets should prioritize transparency and auditability to foster trust in AI-driven decision-making. The consultancy firm encourages insurers and fintechs to innovate responsibly, ensuring that fairness, explainability, and consumer protection remain central.
A recent report from the RBI indicates that only 20 percent of regulated entities have implemented some form of AI technology so far, with many relying on basic rule-based non-learning AI models and moderately complex ML models, while advanced AI models remain underutilized.
"AI has transitioned from being an experimental tool to a regulated infrastructure that requires fairness, transparency, and governance," the report concludes.