Infosys empowers digital banking with enterprise-ready AI Suite
Infosys launched the Finacle Data and AI Suite to help banks infuse artificial intelligence throughout their digital operations, enabling scalable adoption of AI with transparency and regulatory compliance. The suite, built on Microsoft Azure and Azure OpenAI Service, aims to empower banks in over 100 countries to deliver low-code, predictive, and generative AI solutions to transform customer experience, risk management, and operational decision-making. By leveraging Infosys Topaz—an AI-first, responsible-by-design platform for generative AI—the suite delivers robust data foundations and abstracts AI development complexity, putting advanced tools in business users' hands. It provides banks with ready capabilities for actionable insights across ecosystems, accelerating global AI adoption in banking. Infosys Finacle delivers digital engagement, payments, lending, and analytics solutions for global banks through this cloud-native offering. Their AI platform supports customization, scaling, and rapid innovation, empowering banks toward smarter and more agile operations. The suite addresses ethical and operational AI standards, including privacy, security, and compliance. Industry observers recognized the suite's potential to enable robust, differentiated transformation through data readiness and responsible AI, responding quickly to regulatory and market changes.
Reported outcomes
Strategic outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Infosys
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- finacle.com
The suite, built on Microsoft Azure and Azure OpenAI Service, aims to empower banks in over 100 countries to deliver low-code, predictive, and generative AI solutions to transform customer experience, risk management, and operational decision-making
Primary read
Use case focus
Showing 2 of 2
- 1Enterprise AI Enablement for Global Banking
- 2End-to-End Predictive and Generative AI Deployment in Financial Services
- Banks face increasing pressure to adopt AI for digital transformation but are hindered by data readiness gaps, complexity of model development, and regulatory and compliance demands.
- Banks must meet evolving customer demands for personalization, 24/7 engagement, and seamless digital experiences.
- The need for transparency and explainability in AI-driven processes is a regulatory and ethical imperative.
- Ensuring competitive agility requires rapid, scalable AI adoption and the ability to innovate on top of legacy systems.
- Infosys launched the Finacle Data and AI Suite for banks to enable the development of low-code, predictive, and generative AI solutions from the ground up.
- The platform is built on Microsoft Azure and seamlessly integrates Azure OpenAI services, supporting scalable adoption and operationalization of AI across banking domains.
- The platform includes robust data foundations, comprehensive model development tools, and responsible-by-design guardrails for ethics, privacy, and compliance.
- AI capabilities support transformations in customer experience, risk, payments, analytics, and decision-making.
- Accelerated enterprise-wide AI adoption for more than 100 global banks.
- Increased operational agility and speed of innovation for banking clients.
- Enabled banks to deliver personalized, secure, and regulatory-compliant digital experiences to customers.
- Reduced barriers for business teams developing and scaling AI-driven solutions.
Sources & evidence1
- Customer explicitly identified
- Deployment status explicitly supported
- Technical implementation details available
The same organization appears in newer AI deployment evidence.
- Same organization re-documented as recently as 2025.
Measures whether this deployment's public evidence persists — not whether the system is still in production.
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