Case Study
Turning Fragmented Knowledge into Trusted Answers
A global manufacturer needed to make enterprise knowledge easier to access across products, operations, regulatory information and other business domains. Infosys developed a reusable AI assistant platform that combines retrieval-augmented generation, large language models and enterprise integrations to provide contextual answers, automate knowledge retrieval and orchestrate workflows across business systems.
Key Challenges
Fragmented Enterprise Information
Critical knowledge was distributed across multiple product, operational, agronomy and regulatory systems, making consistent access difficult.
Slow Access to Expertise
Users often relied on manual support from subject-matter experts, increasing response times and limiting scalability.
Inefficient Cross-functional Workflows
Disconnected systems and manual processes made it harder for teams to retrieve reliable information and complete tasks efficiently.
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Talk To ExpertsThe Solution
Building a Reusable Enterprise AI Assistant Platform
Trusted Knowledge Retrieval
- Uses retrieval-augmented generation and large language models to provide contextual responses from enterprise knowledge.
- Connects structured and unstructured information to make relevant business content easier to access.
- Reduces dependence on manual knowledge searches and repeated subject-matter expert support.
Reusable AI Agents
- Enables configurable assistants for conversational queries, knowledge retrieval and task automation.
- Supports reusable agent patterns that can be extended across multiple business functions and use cases.
- Provides a consistent foundation for scaling enterprise AI without rebuilding every solution from scratch.
Connected and Governed Workflows
- Integrates AI assistants with enterprise applications, data sources and workflows through secure APIs and MCP-based connectivity.
- Supports role-based access controls, governance and compliance mechanisms across connected systems.
- Enables agents to answer business questions and orchestrate actions across multiple enterprise applications.
From Disconnected Knowledge to Reusable Enterprise Intelligence
- Conversational access gives employees a faster way to find trusted enterprise information without navigating multiple systems.
- Reusable AI agents reduce repeated manual effort and help business teams automate common knowledge and workflow tasks.
- A common platform creates a scalable foundation for extending governed AI assistants across new functions, data domains and enterprise processes.
Business Outcomes
Faster
access to trusted enterprise knowledge
Reduced
reliance on subject-matter experts
Higher
productivity through automated knowledge retrieval
Reusable
AI agent framework across business functions
Creating a Scalable Foundation for Enterprise AI
The reusable assistant platform turns fragmented enterprise knowledge into a more accessible and actionable resource. By combining trusted retrieval, conversational AI and workflow integration, the manufacturer can reduce manual knowledge searches while giving teams more consistent access to business information. A common agent framework also provides a governed foundation for extending AI-assisted experiences across additional functions and workflows as enterprise adoption expands.
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