AI is changing the landscape of banking, but building successful AI in production goes beyond having good models. Banks face the challenges of legacy core systems, fractured data estates, new regulations, and growing financial crime, and require AI to be explainable, governable, and integrated into business decisions.
McKinsey estimated that Generative AI could generate US$200–340 billion per year in value for the global banking sector, representing 2.8–4.7% of industry revenue. The value is available for those who modernise their tech stack while remaining regulatory compliant.
We help retail banks, NBFCs, payment providers, fintechs and capital markets firms build intelligent platforms that will improve customer experience, compliance, cost efficiency and innovation.
Banks use AI for credit assessment, underwriting, collections and portfolio management to improve decision-making while saving money on operational costs.
Consumer lending is a leader in terms of adoption of AI technologies. Celent states that 83% of lenders plan to invest more into Generative AI in 2026, making AI adoption faster than any other wave of online lending and automated underwriting.
Fraudsters are using AI, too. Synthetic IDs, deep fakes, voice cloning and authorized push payment frauds pose serious challenges to traditional rule-based detection systems.
A modern fraud platform includes:
And it helps significantly in reducing false positives as well as detecting emerging threats.
Open Banking is no longer an API programme but becomes a strategic capability for banks.
India’s RBI Account Aggregator ecosystem has passed 252 million users with more than 2.6 billion consent-enabled accounts for secure data sharing across banking, insurance, pension and securities.
We help organizations build secure and consent-based data platforms for the creation of new financial products and collaboration within ecosystems.
Payment infrastructure is evolving towards real-time, structured and intelligent payments.
Changes happening in the industry include:
Modern payment platforms improve reconciliation, compliance screening and customer experience while enabling future innovations in payments.
Capital market firms are modernizing front, middle and back office with automation, AI and real-time data platforms.
Automation helps in:
Banks are moving past digital channels and towards an intelligent customer experience.
Customer onboarding
This leads to faster service, lower operational costs and customer experience consistency across all channels.
Financial Institutions operate within increasingly complex regulations that include:
AI systems have to provide transparency, explainability, auditability, bias monitoring and human oversight. Governance is becoming one of the engineering disciplines
