Infosys

AI Agent-Driven Intelligent Automation Transforms Energy Operations

Infosys · Energy operations automation · Microsoft

Infosys, in partnership with Microsoft, developed an AI agent-powered productivity solution that transforms operations in the energy sector. Leveraging Microsoft Copilot Studio, Azure OpenAI, Azure AI Foundry, Infosys Topaz, and Infosys Cobalt, the solution turns massive operational datasets into actionable insights for improved safety, reliability, and efficiency. The AI Assistant digests complex reports, images, and tables, providing predictive insights and real-time alerts to operators. This enables faster, data-driven decision-making and automation of repetitive workflow and report generation tasks. Operators can anticipate and avoid potential issues, minimizing non-productive time (NPT) and operational risk. By integrating advanced conversational AI into operational workflows, the solution empowers energy sector companies to unlock new productivity levels. It also improves coordination between engineering, field teams, and back-office operations through consistent, real-time insights accessible through intuitive conversational interfaces. Built atop the Microsoft Cloud and AI stack, Infosys embeds these agentic AI capabilities into their platforms for the energy industry, delivering measurable improvements in key safety and efficiency KPIs.

AgenticProduction

How Infosys Topaz leverages Amazon Bedrock to transform technical help desk operations

Infosys · Knowledge management · AWS

Infosys built an AI-powered technical help desk for a large energy supplier to ingest past and new call transcripts, summarize conversations, classify relevance, retrieve similar issues, and help support agents resolve meter technician calls faster. The system uses Amazon Bedrock with Claude Sonnet, Amazon S3, AWS Step Functions, AWS Lambda, Amazon OpenSearch Serverless, Amazon Titan Text Embeddings, AWS Secrets Manager, AWS KMS, AWS IAM, DynamoDB, and a Streamlit frontend. It implements role-based access control, asynchronous transcript processing, caching, FAQ retrieval, and a RAG-style knowledge base for agent assistance.

Agentic

Infosys transforms enterprise support and finance with customizable AI agents

Infosys · Automotive operations automation · Microsoft

Infosys launched the Agentic AI Foundry to accelerate enterprise AI adoption by providing pre-built and customizable AI agents for business automation. The Foundry, built within the Infosys Topaz platform and leveraging Microsoft's AI stack, enables organizations to rapidly develop and integrate AI-powered solutions into core business processes. Clients have achieved notable results such as a 50% reduction in support resolution times, over 24% increase in customer satisfaction, and major improvements to finance team productivity. The platform offers both horizontal (across departments) and vertical (industry-specific) AI agents, supporting a range of use cases from invoice automation to intelligent customer support. Internally, Infosys implemented a multi-agent invoice automation solution that boosted productivity by more than 50%. The solution’s open architecture avoids technology lock-in and provides responsible AI deployment strategies. Industry experts see Infosys’ Agentic AI Foundry as a key enabler of cost savings and efficiency for large enterprises moving to AI-first operating models. The platform supports effective change management and AI skills upskilling to maximize business outcomes.

Multi-agent

Infosys launches AI Center of Excellence to accelerate enterprise transformation

Infosys · AI development platform · Microsoft

Infosys and Microsoft have partnered to establish an AI Center of Excellence (AI-CoE), combining Infosys' domain expertise and Microsoft’s AI technology ecosystem. The AI-CoE is positioned as the hub for driving enterprise AI adoption, offering strategic guidance, data infrastructure, ethics governance, and talent development frameworks. It supports enterprises across industries with structured methodologies for maximizing AI innovation and ROI, providing a clear path from concept to scalable AI solutions. The center works in close collaboration with other CoEs and engineering teams, aligning strategic AI goals and building the required data, technology, and talent infrastructures. The partnership ensures responsible implementation of AI, emphasizing alignment with business goals, efficiency, and ethical practices in every industry transformation initiative. By offering expert guidance and a proven framework, the AI-CoE aims to improve organizational agility, drive faster AI deployment, and maintain strong governance and compliance mechanisms.

Infosys revolutionizes enterprise transformation with AI-powered assistants

Infosys · IT operations · Microsoft

Infosys adopted an AI-first strategy, focusing on embedding AI technologies throughout its business model rather than simply enhancing processes. Over 250,000 employees completed an AI awareness course, catalyzing a culture shift. Leveraging partnerships with players such as Microsoft and OpenAI, Infosys developed both small language models (SLMs) for industry-specific needs (e.g. banking) and persona-specific AI assistants for roles like customer service agents and wealth managers. These platforms and AI applications are delivered rapidly, reducing typical development time from months to mere weeks. Infosys now rolls out AI assistants and applications to 20,000+ enterprise users, supporting IT operations, software engineering, customer service, fraud detection, and compliance. The company is fostering change management in clients by offering training and revisiting IT contracts for accelerated AI adoption. Three waves of AI implementation are identified, from current AL assistants to future semi-autonomous business processes.

Multi-agentScaled Production