GSTN, Molina Healthcare, Siemens, and more streamline operations with AI-first transformation
Infosys Topaz offers an AI-first suite of services, frameworks, and platforms built on Microsoft Azure, Azure OpenAI Service, and Azure Cognitive Services. The solution integrates 12,000+ AI assets and 150+ pre-trained AI models to accelerate organizations’ AI adoption and ROI across industries. Real implementations include the Goods and Services Tax Network (GSTN), which reduced tax fraud via advanced fraud analytics processing 20 billion transactions. Molina Healthcare enhanced digital transformation and member service through AI-infused cloud technologies, while Siemens leveraged Topaz for digital workforce upskilling and personalized learning, and Booking Holdings benefited from AI-first cybersecurity threat management. These transformations, led by Infosys in partnership with Microsoft, utilized AI to automate complex processes, optimize operational efficiencies, and strengthen regulatory compliance. The solutions provide responsible, ethical, and secure AI embedded into business operations, purpose-built to create enterprise value and customer trust. Independent recognition includes awards for enterprise adoption of AI and strategic market leadership. The platform also includes agentic functions and has launched over 200 AI agents for various enterprise tasks. The AI-driven approach helps enterprises unlock efficiencies at scale, future-proof their investments, and build robust connected ecosystems.
- Organization
- GSTN
- Industry
- Professional Services
- Location
- India
- Published
- July 2025
Reported outcomes
Strategic outcomes
Primary read
Use case focus
Showing 3 of 5
- 1Tax fraud detection using AI analytics
- 2Employee digital skills upskilling via AI platforms
- 3Predictive analytics in telecom networks
- GSTN faced large-scale tax fraud and the need to analyze billions of transactions rapidly.
- Healthcare clients like Molina needed seamless cloud-based transformation and improved digital service delivery.
- Organizations like Siemens wanted to upskill employees for digitalization and AI-led change.
- Booking Holdings required proactive and resilient cybersecurity in a rapidly evolving threat landscape.
- British Telecom sought to improve predictive analytics for critical domains.
- Multiple industries needed responsible, trustworthy, and scalable ways to adopt AI.
- Infosys Topaz integrated with Azure OpenAI Service and Azure Cognitive Services enabled advanced data analytics and operational automation.
- Custom AI models and frameworks processed high-velocity, high-volume data (as at GSTN).
- Infosys and Microsoft established secure, responsible AI environments for healthcare, manufacturing, and telecom.
- Developed 200+ enterprise AI agents and an Agentic Foundry to deliver cross-domain automations.
- Cloud transformation and AI maturity frameworks guided clients in building AI-first architectures.
- Detected fraud worth $5B at GSTN, processing 20B transactions with 50+ complex analyses.
- Digital transformation accelerated for healthcare, telecom, and manufacturing clients.
- Enhanced operational efficiencies, improved employee learning (Siemens), and resilient cybersecurity (Booking Holdings).
- Numerous industry awards and market recognition for Infosys Topaz AI solutions.
Architecture
Infosys Topaz integrates Azure OpenAI Service, Azure Cognitive Services, and Azure cloud to build custom AI models and agents. For GSTN, analytics and fraud detection process 20B transactions using bespoke models; Siemens leverages the learning and workforce upskilling platform connected with generative AI. British Telecom ingests real-time data streams for predictive analytics; Booking Holdings utilizes agent-driven cybersecurity orchestration, all orchestrated over secure cloud with agentic design via Infosys Topaz’ Agentic Foundry.
Implementation partners1
Sources & evidence1
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