Infosys has thrown its hat deeper into the AI infrastructure ring with Infosys Topaz Fabric, a sweeping new platform designed to unify and accelerate enterprise IT operations through a layered stack of AI models, agents, and composable data tools. The launch marks the latest evolution in Infosys’ ongoing AI-first transformation strategy, positioning the company squarely against rivals like Accenture’s SynOps and TCS’s Cognix in the race to automate enterprise IT at scale.
A New Fabric for AI-Driven IT
Infosys Topaz Fabric isn’t just another platform—it’s a modular AI infrastructure aimed at making IT services more like software: consumable, interoperable, and fast to deploy. It bundles together data models, AI agents, process flows, and ready-to-use apps under one roof, giving enterprises the flexibility to modernize existing systems without ripping out legacy investments.
Infosys describes Topaz Fabric as “open and composable”, meaning it avoids vendor lock-ins—a long-standing pain point in enterprise IT. It integrates seamlessly with nine leading enterprise platforms and includes 50+ pre-built AI agents tailored for IT operations, quality engineering, transformation, and cybersecurity.
In simpler terms: Infosys wants to make running IT as intuitive and adaptive as using an app store.
Humans + AI: The New IT Partnership
A standout feature of Topaz Fabric is its “human-in-the-loop” approach. Instead of replacing IT staff, Infosys’ AI agents collaborate with them—automating repetitive workflows, offering contextual recommendations, and freeing up human teams to focus on strategy and innovation.
For instance, Infosys cites its AI HR agent, which can field employee travel queries via chat or email and automatically generate a travel request. Humans oversee, fine-tune, and retrain these agents to ensure compliance, ethical alignment, and accuracy.
Satish H.C., Chief Delivery Officer at Infosys, summed it up neatly:
“Topaz Fabric combines the transformative powers of AI with human creativity to supercharge service delivery across the enterprise landscape.”
It’s a balanced narrative—automation without alienation.
Built for Collaboration, Not Isolation
Infosys’ “forward deployed engineers” work hand-in-hand with client business teams to tailor Topaz Fabric to each enterprise’s specific landscape. This human-plus-agentic delivery model aims to boost speed and quality simultaneously—a critical edge as businesses juggle digital transformation, cybersecurity, and cost efficiency all at once.
One of Infosys’ early adopters, Nu Skin, is already seeing promise.
Laxmi Srinivas Samayamantri, VP of Global Engineering, Data & Architecture at Nu Skin, said the company expects Topaz Fabric’s Agent Assist features to increase automation, strengthen resilience, and enhance user experience across its beauty and wellness commerce operations.
Riding the Wave of Agentic AI
Infosys Topaz Fabric builds on the company’s broader Infosys Topaz initiative—a portfolio that’s rapidly evolving into one of the most comprehensive enterprise AI ecosystems in the consulting world. It’s also a signal of where enterprise AI is heading: toward agentic AI—autonomous, context-aware agents that collaborate dynamically with human experts.
By partnering with AI-native startups and global tech providers within its ecosystem, Infosys aims to stay at the forefront of the agentic AI movement, which many see as the next major leap beyond traditional machine learning and RPA (Robotic Process Automation).
Why It Matters
With enterprise AI spending expected to top $200 billion by 2030, platforms like Topaz Fabric represent a strategic pivot. Infosys isn’t just selling consulting anymore—it’s selling capability acceleration. As generative and agentic AI become mainstream, the ability to deploy pre-trained, enterprise-safe agents across IT, HR, and cybersecurity could become a defining differentiator in digital services.
Infosys may not be first to market, but its strength lies in scale and execution. With Topaz Fabric, it’s betting that the future of enterprise IT isn’t about more tools—it’s about better orchestration.
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