Being AI -first
Explore AI-first thought leadership with Infosys’ insights, reports, and industry-specific content
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Infosys TechCompass
A strategic view of how technology evolves over time and the trends that drive their adoption
Responsible Enterprise AI in the Agentic Era
Companies see RAI as a critical enabler for Enterprise AI success but are playing catch-up. RAI teams must invest in agile, efficient, scalable models as Agentic AI brings complexity and uncertainty.
CPG Industry Outlook 2025
CPG growth will be driven by AI-powered innovation, strategic M&A, and investments in consumer intelligence and outsourcing to boost resilience and efficiency.
Tech Navigator: Agentic Enterprise AI Playbook
Explore the revolution of agentic AI, where autonomous systems adapt and act with minimal intervention, reshaping industries and unlocking new levels of innovation.
Capital markets rely on COTS platforms for trading operations. However, rigid systems struggle with AI integration. Modular, API-driven architectures are the future. They enable agility, innovation, and adapt dynamically to changing regulations. Yet, the future is hybrid, blending COTS products with in-house AI solutions.
Ken Elliott of The Friedkin Group shares how treating data as a corporate asset and embracing responsible AI adoption are transforming automotive operations, decision-making, and business value.
Agentic AI’s piecemeal adoption in manufacturing and retail creates local optimization but encourages value leakage overall. To create sustainable value, enterprises need to reimagine entire business processes enabled by this vital new technology. Done right, our research has found the result is a continuously evolving and learning organization – a live enterprise.
AI is creating new job families that combine human creativity and machine intelligence, driving the need for reskilling, new success metrics, and reimagined career paths.
Agentic AI is already proving its value in broad domains, such as IT, business operations, and information intensive business processes. However, in this new Tech Navigator report, we shine a spotlight on how Infosys is using agentic AI to solve real-world challenges in five distinct industries.
Mortgage processing can be slow and messy — too many documents, outdated systems, and complex workflows. Agentic AI changes that by speeding up applications, automating documents, streamlining underwriting, and handling appraisals. Borrowers get faster closings with fewer errors, while lenders become efficient and stay compliant. And with human oversight, it’s smart, fair, and secure.
AI governance must catch up and keep pace with this fast-moving technology. Only then can the board provide clear, explicit leadership. While some organizations are proactively redefining their structures to lead in the transition to enterprise AI, others risk falling behind, ceding ground to better-prepared competitors.
This conversation with Maria Haight of Joyson Safety and Rakesh Babu Gollapalli of Infosys highlights how AI-driven manufacturing, responsible governance, and cybersecurity are reshaping industrial enterprises with both opportunity and risk.