Infosys strengthens enterprise AI strategy with Topaz Fabric and energy sector automation agent

Infosys Limited (NSE: INFY, BSE: INFY, NYSE: INFY) has announced two new additions to its enterprise AI portfolio: an artificial intelligence agent tailored for operations in the energy sector and a modular AI service platform called Infosys Topaz Fabric. The developments reflect the company’s latest efforts to scale its AI-first strategy across both field operations and IT environments, with a focus on improving automation, efficiency, and enterprise service delivery.

The energy-specific AI assistant is designed to enhance safety, efficiency, and real-time decision-making for field operations. Powered by Infosys Topaz and Infosys Cobalt, and co-developed with Microsoft’s Copilot Studio, Azure OpenAI Foundry Models, and ChatGPT-4o, the solution converts complex operational data into actionable insights. Meanwhile, Infosys Topaz Fabric delivers a broader suite of 50+ modular agents integrated across enterprise IT systems to accelerate AI value realization across industries.

These moves signal Infosys’ deeper commitment to building AI-first platforms that combine generative AI, predictive analytics, and human-in-the-loop governance across both high-risk physical environments and digital enterprise ecosystems.

How is Infosys applying AI to field operations in the energy sector?

Infosys’ new AI agent for the energy industry is designed to support engineers and field technicians working in operationally intensive environments. The system uses conversational AI to interpret well logs, tables, plots, and imagery, and then synthesizes this information into contextual insights, safety alerts, and automated reports.

Real-time data from drilling, maintenance, or extraction activities can be overwhelming and difficult to translate into actionable decisions. Infosys’ AI agent addresses this by offering predictive early warnings for equipment failure or performance dips, recommending optimization strategies, and enabling instant access to critical information. This can reduce non-productive time, enhance wellbore quality, and improve overall safety metrics in upstream and downstream operations.

Ashiss Kumar Dash, Executive Vice President and Global Head for Services, Utilities, Resources, Energy, and Enterprise Sustainability at Infosys, said that the solution is tailored to overcome the energy sector’s ongoing struggle with fragmented data, operational delays, and high-risk maintenance cycles. He emphasized that the agent’s ability to convert raw data into actionable outcomes positions it as a vital tool in building intelligent and safe energy infrastructure.

Microsoft’s contribution to the AI agent architecture highlights the importance of industry-specific AI tooling. Stephen Boyle, Vice President of Global Partner Solutions at Microsoft, said the collaboration reflects a shared vision of enabling measurable value creation through safer, more resilient operational frameworks.

What does Infosys Topaz Fabric offer for enterprise IT transformation?

Infosys Topaz Fabric, launched just days prior on November 3, 2025, introduces a modular, composable architecture built to unify enterprise AI initiatives across transformation services, cybersecurity, quality engineering, and IT operations. The platform includes a catalog of more than 50 prebuilt AI agents that are interoperable with at least nine mainstream enterprise platforms.

Unlike conventional IT automation stacks that require extensive integration, Infosys Topaz Fabric is designed to plug into existing enterprise IT ecosystems. It supports both integrated and modular deployments, enabling customers to adopt services-as-software at their own pace. The platform’s open and layered design avoids vendor lock-ins, a key concern for enterprises navigating multi-cloud and hybrid infrastructure.

One of the defining features of Infosys Topaz Fabric is its ability to orchestrate end-to-end AI workflows with human supervision. These “human-in-the-loop” models ensure that out-of-the-box agents are continuously trained, governed, and contextualized by human experts, safeguarding against errors, bias, or drift. For instance, an HR agent can handle employee travel queries, generate requests, and route escalations when needed, thereby bridging automation with oversight.

Satish H.C., Chief Delivery Officer at Infosys, framed Topaz Fabric as a reimagining of the enterprise services stack. He said that the platform allows clients to “supercharge service delivery” by combining AI execution speed with human intelligence and domain-specific contextualization. This dual-mode delivery enables faster and more accurate responses to business events, IT incidents, or user requests.

How are clients like Nu Skin applying Infosys Topaz Fabric in real-world operations?

Infosys has already begun deploying Topaz Fabric across its enterprise clients. One of the first public adopters is Nu Skin Enterprises, a global beauty and wellness company known for its digital-first commerce model. Laxmi Srinivas Samayamantri, Vice President of Global Engineering, Data, and Architecture at Nu Skin, said the company is collaborating with Infosys to enhance IT operations through Agentic AI.

The partnership with Infosys has enabled Nu Skin to deploy Agent Assist features across both application and infrastructure layers. These features are expected to improve automation rates, increase system resilience, and elevate overall user experience. Samayamantri noted that the ability to personalize agent behavior for specific business scenarios has been instrumental in streamlining IT support, onboarding, and service requests.

Infosys is also strengthening its AI agent library through partnerships with AI-native startups within its ecosystem. This ensures that Topaz Fabric stays current with evolving technologies in AI observability, model retraining, and ethical alignment. As the platform matures, it is expected to offer deeper vertical integration into industry-specific functions such as healthcare claims processing, banking compliance checks, and retail personalization engines.

What differentiates Infosys’ AI strategy from other IT service providers?

Infosys’ AI expansion through Topaz Fabric and its energy operations agent reveals a strategic focus on composability, domain relevance, and governance—all of which distinguish it from traditional automation or AI ops vendors. By building AI agents that are both context-aware and human-supervised, Infosys is offering a hybrid path between full automation and business-critical reliability.

Infosys Topaz, originally launched in 2023, laid the foundation for this vision with copilots and recommendation engines embedded in enterprise workflows. The Topaz Fabric initiative takes that approach further by offering a marketplace of agents that can be quickly deployed, retrained, and scaled across business functions.

This agent-led approach also creates potential upsell paths for Infosys among its current base of digital transformation clients, particularly in regulated industries where explainability, compliance, and precision are vital. The integration with hyperscaler infrastructure such as Microsoft Azure ensures that clients can scale compute-intensive AI models without latency or platform conflicts.

What is the investor sentiment around Infosys and its AI platform expansion?

Infosys Limited (NSE: INFY) has maintained stable trading performance over the past quarter, with moderate gains driven in part by optimism around its Topaz AI initiatives. Institutional investors appear cautiously positive on the long-term monetization potential of Topaz Fabric, though short-term revenue impact is expected to remain modest.

Analysts covering Indian IT services stocks have described Infosys’ AI strategy as more cohesive and integrated compared to peers such as Tata Consultancy Services or Wipro, which have so far taken more fragmented or partnership-led approaches. Topaz Fabric, with its library of configurable agents, is seen as a platform play with recurring revenue potential, particularly in North America and Europe.

Infosys has also benefited from rising client interest in AI-led cost optimization amid economic uncertainty. By positioning its AI agents as accelerators for legacy modernization and cloud migration, Infosys is tapping into both capex-driven and opex-driven IT budgets.

Market watchers are now looking ahead to Infosys’ next earnings release to assess early deal wins tied to Topaz Fabric and to evaluate cross-selling momentum across legacy IT accounts. The real test for Infosys will be how quickly it can scale its AI platforms beyond pilot use cases and into core service contracts.

What are the broader implications for the future of enterprise AI?

The twin launches of Infosys Topaz Fabric and its AI agent for the energy sector offer a blueprint for how generative and predictive AI can be operationalized in enterprise settings. With a modular architecture, HITL governance, and hyperscaler integrations, Infosys is carving a niche for itself in the growing market for intelligent service automation.

Infosys’ approach also reflects a broader shift in enterprise AI adoption, from ad hoc pilots to standardized platforms. As more enterprises look to integrate AI into daily workflows, demand will grow for ready-to-use agents that can be deployed quickly, tuned precisely, and supervised effectively.

With vertical use cases in energy, IT, HR, and commerce already in motion, Infosys Topaz Fabric is likely to see increasing traction among enterprise clients aiming to balance innovation with operational discipline.

Key takeaways from Infosys Topaz Fabric rollout and energy AI agent deployment

• Infosys has introduced an AI agent tailored for the energy sector, designed to process real-time field data and improve decision-making, safety, and efficiency.
• The solution integrates Infosys Topaz, Infosys Cobalt, Microsoft Copilot Studio, Azure OpenAI, and ChatGPT-4o to deliver predictive insights and automated reporting capabilities.
• Infosys has also launched Topaz Fabric, a modular AI stack offering over 50 enterprise-ready agents for IT operations, quality engineering, cybersecurity, and transformation services.
• The platform is built to work with human-in-the-loop oversight, allowing automation while maintaining governance, contextual accuracy, and compliance.
• Nu Skin Enterprises is among the early adopters, using Topaz Fabric to improve IT support and infrastructure resilience through Agentic AI capabilities.
• Infosys is positioning Topaz Fabric to help enterprises integrate AI without abandoning existing IT investments or getting locked into proprietary ecosystems.
• Institutional sentiment remains cautiously optimistic, with analysts viewing Infosys’ AI expansion as a strategic differentiator in the competitive IT services sector.