How Infosys is Fueling Efficiency, Innovation via AI Democratization

Executive Summary

Infosys is facilitating Artificial Intelligence (AI) democratization in the Life Sciences sector, enhancing accessibility and operational efficiency. As the industry shifts towards integrating AI across the pharmaceutical value chain, the company has implemented an AI-powered chatbot to enhance regulatory information access within R&D. This solution, featuring an Agentic AI model, streamlines workflows and empowers non-technical staff to engage with complex data securely. By fostering collaboration and innovation, Infosys is enabling clients to discover new opportunities.

Article:

If 2022–2023 was the phase of Artificial Intelligence (AI) experimentation in the Life Sciences industry and 2024 was the era of point solutions, then 2025 is when AI stops gatekeeping and starts mingling. The industry is finally ready for AI democratization or simply put, to make it accessible to a wider audience and not just the experts.

All forward-thinking life sciences companies know that the 5 Ps — Predictive, Proactive, Personalized, Participatory, and Precise — will become part of everyday operations. From drug discovery to diagnostics, clinical trials to compliance, and marketing to supply chain, AI is about to be woven across the entire pharmaceutical value chain.

This isn’t just tech for techies anymore. It’s about removing adoption barriers, busting silos, breaking literacy barriers, and avoiding that dreaded sentence: “I’ll get back to you once I check with the team concerned.” The magic word isn’t just AI democratization; it’s AI democratization as an enabler, unlocking doors that were previously closed and opportunities that were out of reach. Here’s how Infosys is doing it for clients.

Solution: Autonomous chatbot

Infosys implemented an AI-powered chatbot into a client’s R&D platform to transform how employees access and use regulatory information. Seamlessly integrated with enterprise systems such as Regulatory Vault, ServiceNow, SharePoint, and the HR portal, the chatbot operates within a regulated environment, with strict role-based access controls ensuring secure access to sensitive data.

Agentic AI to the Rescue

At the heart of this solution was an Agentic AI model capable of independently executing tasks across systems. This enabled the chatbot to go beyond simply responding to queries; it performed end-to-end workflows autonomously, replacing siloed tools and manual steps with a streamlined, unified experience. Regulatory teams, for example, could instantly locate validated documents, interpret updates, and act on them without switching between platforms.

Power of AI and Data Democratization

A key advantage of this implementation was its ability to democratize access to AI. By simplifying access to complex data, the system empowered professionals to focus on high-value activities such as compliance strategy, policy formulation, and risk mitigation.

With intuitive access through a chatbot interface and role-based permissions, employees across departments and not just technical or data teams could securely interact with complex, validated information. This not only improved responsiveness and collaboration but also positioned the organization to scale AI adoption to other business areas, unlocking greater operational efficiency and innovation.

 

 

Author Details

Ramya Gunza

Ramya is a seasoned Senior Business Consultant with over 8 years of experience within the Healthcare and Life Sciences industries, posssing deep expertise in data management, data quality, and business intelligence. Her proficiency extends to Data Office initiatives, Commercial Excellence strategies, and delivery of impactful data-driven solutions.

Himanshu Rao

Himanshu is a seasoned analytics professional with over 12 years of experience in the pharmaceutical and healthcare analytics domain. Throughout his career, he has partnered with leading global pharmaceutical organizations, delivering strategic insights and solutions across a wide spectrum of functions, including commercial analytics, competitive intelligence, reporting, R&D operations, and portfolio management. His expertise spans advanced data modeling, decision support, and the development of innovative GenAI solutions tailored to the unique challenges of the life sciences industry. He brings a strong track record of translating complex data into actionable intelligence that drives business growth and operational efficiency.

Inder Neel Dua

Inder is Partner at Infosys Consulting and leads the Life Sciences unit. With over 18 years of consulting expertise, he specializes in Listening, Communication and Solutioning business objectives with practical implementation. Inder likes to simplify complex information, develop effective frameworks, and streamline delivery through change management and operational effectiveness.

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