Enterprise AI is revolutionizing the way businesses operate, with Infosys revealing that over 50% of artificial intelligence implementations yield significant results. The highest success rates are noted in sectors such as professional services and technology, whereas financial services grapple with regulatory challenges. Satish H C, the Executive Vice President and Chief Delivery Officer at Infosys, discusses the company’s commitment to investing in small language models, Agentic AI, and workforce development to enhance AI-driven automation.

The Impact of AI on Business Goals

A recent study by Infosys indicates that only 20% of AI applications fully achieve their intended business objectives, while an additional 31% are close to success. What are the primary obstacles that hinder effective AI deployment?

Transformative change requires a keen understanding of complexities and organizational readiness. Although incremental improvements can be made, real transformation necessitates a complete rethinking of processes through an AI-first lens, rather than merely enhancing existing systems. This transition relies heavily on:

• Workforce engagement
• Change management
• Training initiatives
• Financial support

Expectations can also differ based on the type of AI employed. Generative AI excels in functions like chatbots, Q&A sessions, and document summarization. Meanwhile, AI aimed at delivering business value often leans on traditional models, business intelligence queries, or statistical methods to produce reliable predictions. Achieving these goals demands substantial investment in agentic frameworks and interconnected models.

Optimizing AI Investments for Sustainable Growth

How is Infosys assisting clients in maximizing their AI investments while ensuring cost reductions without sacrificing performance?

Infosys employs several strategic methods to help clients navigate their AI investments efficiently. Key approaches include:

• AI Tooling: Utilizing the AI Foundry and AI Factory for experimentation and innovation.
• Agentic AI: Transforming enterprises through specialized AI agents designed for specific tasks and decision-making.
• Value Office Setup: Establishing frameworks to enhance governance and workforce engagement.

The synergy between the AI Foundry and AI Factory fosters an environment of innovation, leading to the development of products and platforms that drive customer value. With the Responsible AI 3S framework—Scan, Shield, and Steer—Infosys ensures that AI innovations are safe for client adoption.

Transformative AI Implementations by Infosys

Are there notable examples of how Infosys has implemented AI to significantly improve business outcomes for clients?

In the U.S. Consumer Packaged Goods (CPG) sector, Infosys’ Media Mix Optimiser drastically reduced implementation times and enhanced accuracy by 10-15%, optimizing marketing budgets and maximizing return on investment (ROI). Similarly, for a U.S. electric utility, the Enterprise Analytical Platform decreased data processing times, improved forecasting accuracy, and lowered operational costs, which ultimately enhanced asset planning and monitoring.

Successful Adoption of Agentic AI Models

Can you provide examples of companies that have leveraged Agentic AI for transformative results?

Many transformation initiatives incorporate the Agentic AI framework. One of the most significant implementations improved the workflow for numerous inventory analysts by using generative AI and pretrained large language models (LLMs), saving analysts over 10% of their time. In another instance, an American tech giant’s support team faced challenges such as high ticket volumes and slow resolution times. By integrating multiple knowledge sources through Infosys’ Agentic AI-powered assistant and chatbot, the company was able to streamline support processes, significantly enhancing first-day resolution rates and agent productivity.

By investing in innovative AI solutions, businesses can not only optimize their operations but also pave the way for sustainable growth in an increasingly competitive landscape.