Case Study
Scaling AI Across Critical Value Streams
A global energy technology company needed to move beyond isolated AI use cases and create a repeatable model for enterprise-wide adoption. Infosys was selected as its AI strategy partner, bringing together AI expertise, product engineering, business-process knowledge and technology execution to help reimagine priority workflows and scale agentic AI across critical value streams.
Key Challenges
Moving Beyond Isolated AI Use Cases
The organization needed an enterprise-wide approach that could take AI from individual initiatives to repeatable deployment across business-critical workflows.
Connecting Strategy with Execution
Scaling AI required more than technology alone, combining enterprise strategy with product engineering, process expertise and implementation capability.
Embedding AI Across Value Streams
The goal was to integrate agentic AI into end-to-end workflows across major business areas rather than deploy disconnected point solutions.
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Talk To ExpertsThe Solution
Creating a Repeatable Model for Enterprise Agentic AI
Enterprise AI Strategy
- Established an enterprise-wide approach to identifying and scaling high-value AI opportunities.
- Connected strategic priorities with the workflows where agentic AI could deliver meaningful transformation.
- Created a common direction for moving AI initiatives from strategy through execution.
Agentic AI for Priority Workflows
- Applied agentic AI to reimagine priority value-stream workflows across the enterprise.
- Developed agents and multi-agent solutions designed for production use.
- Embedded AI into end-to-end business processes rather than limiting adoption to isolated tasks.
Integrated Transformation Expertise
- Combined AI capabilities with product engineering, business-process expertise and IT execution.
- Used a multidisciplinary approach to support transformation from strategy through implementation.
- Built a foundation for repeatable expansion of AI across additional enterprise value streams.
From Individual Use Cases to Enterprise-wide AI
- A unified AI strategy helps connect individual initiatives to broader business priorities and creates a clearer path to scale.
- Production-ready agents bring intelligence directly into priority workflows, enabling AI to become part of day-to-day operations.
- A repeatable strategy-to-execution model creates the foundation for extending agentic AI across more value streams over time.
Business Outcomes
25 +
agents and multi-agent use cases in production
Enterprise-wide
AI strategy established
AI embedded
across end-to-end value streams
Repeatable
approach for scaling additional AI use cases
Building an Enterprise Foundation for AI at Scale
The engagement demonstrates how organizations can move from individual AI initiatives to a coordinated enterprise transformation. By connecting strategy, agentic AI, product engineering and business-process expertise, the company has created a repeatable model for embedding intelligence into priority workflows. With more than 25 agents and multi-agent use cases already in production, the approach provides a foundation for extending AI across additional value streams as enterprise adoption expands.
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