Tapesh Bhatnagar, Head Digital Solutions, Giesecke+Devrient (G+D)
Artificial intelligence (AI) is the driving force behind India’s digital banking boom. Whether it’s chatbots handling everyday customer queries or fraud detection systems that stop suspicious transactions in their tracks, AI is helping banks and fintechs deliver services that are faster, smarter, and more personal than ever.
But this isn’t just about algorithms crunching numbers. Around the world, these systems handle some of the most sensitive financial details, such as account numbers, credit card details, and lending decisions. As AI takes on a bigger role in the financial world, it’s coming under closer scrutiny from both regulators and the public.
With the Digital Personal Data Protection (DPDP) Act 2023 and the Reserve Bank of India’s enhanced cybersecurity framework now in place, AI in finance operates under a powerful compliance spotlight. The question is no longer “how quickly can we innovate?” but “how can we innovate responsibly while keeping the trust of customers and regulators?”
Trust is the new currency
In today’s digital banking and fintech world, trust is as valuable as capital. A 2024 PwC survey found that 82 per cent of Indian consumers see strong personal data protection as the single most important factor in whether they engage with a company or not.
The numbers tell the story. In June 2025 alone, unified payments interface (UPI) transactions hit Rs 24.04 trillion, a sign that mobile app-based transaction has become part of everyday life. But such growth inevitably attracts sharper oversight, particularly as AI adoption ramps up.
Indian banking must now navigate strict localisation rules, explicit consent management, and transparency around how algorithms make decisions. Failure to comply will not just result in fines but will also erode credibility that could take years to rebuild.
Explainability is a particularly hot topic. If an AI rule denies a loan, flags a payment as suspicious, or alters a credit limit, both regulators and customers increasingly expect to know why. Yet, as of early 2025, the National Association of Software and Service Companies (NASSCOM) reports that only 36 per cent of AI models in India’s Banking, Financial Services, and Insurance (BFSI) sector have explainable decision-making frameworks.
Even the question of where AI systems are hosted is under close watch. Public cloud platforms offer scalability, but for mission-critical banking workloads, they can raise data sovereignty and security concerns.
Why responsible AI is a business advantage
Balancing rapid AI adoption with robust compliance, privacy, and ethical safeguards is key to ensuring sustainable innovation. When handled well, responsible AI becomes a strategic differentiator. Customers adopt faster when they trust the technology, and regulators support solutions that have accountability built in.
One promising approach is the use of domain-specific AI chatbots. Unlike generic AI tools, these are purpose-built for the financial sector, like G+D Netcetera’s AI-enabled chatbot, with compliance requirements and data sensitivities baked in. These chatbots use tokenisation to replace real account details with secure surrogate data during conversations, delivering personalised service without exposing sensitive information.
Building compliance in from the ground up
Another effective approach is the use of AI compliance agents; real-time monitors embedded within AI systems that check every customer interaction against relevant regulations. This “compliance-by-design” approach automates oversight, reduces human error, and allows AI services to scale without compromising integrity.
Pairing data tokenisation with advanced authentication methods, such as Fast Identity Online (FIDO) standards or mobile biometrics, adds another layer of security. Customers enjoy seamless access to services, while banks maintain rigorous behind-the-scenes controls. In high-sensitivity markets like India, this layered defence is fast becoming the gold standard for AI-enabled financial platforms.
Controlling the environment
Where AI is hosted matters as much as how it’s built. Deploying AI applications within secure private clouds or on-premises gives banks complete control over how customer data is stored, accessed, and used. This approach aligns with India’s data sovereignty goals and meets regulators’ growing demands for operational transparency.
G+D Netcetera’s modular AI solutions allow financial institutions to choose the hosting model that best fits their compliance obligations, without losing agility.
The road ahead
India’s rise as the world’s third-largest fintech ecosystem is no accident. The combination of a young, tech-savvy population, progressive digital infrastructure, and regulatory frameworks like the DPDP Act provides fertile ground for AI-driven innovation. But this opportunity comes with a non-negotiable condition – the future must be built on responsible AI.
The winners will be banks and fintechs that treat privacy, security, and compliance as core design principles. They’ll be the ones that customers trust most, earn regulators’ support, and competitors scramble to keep up with.
