Global Enterprise Builds GenAI-Powered Knowledge System and AI Agents to Automate Decisions and Workflows
Global enterprise operating across retail, supply chain, and corporate functions with large volumes of structured and unstructured data
The challenge
The client had vast amounts of data spread across documents, systems, and internal tools, making it difficult for teams to access accurate information quickly. Decision-making relied heavily on manual analysis, and key workflows were time-consuming, inconsistent, and difficult to scale.
What Everest delivered
Everest designed and implemented a GenAI-powered knowledge system using Retrieval-Augmented Generation (RAG), along with AI-driven agents to automate key business workflows and decision processes. The engagement included use case discovery, data integration, model development, and deployment of scalable AI workflows delivered by a cross-functional team of 22 AI engineers, data engineers, and solution architects.
Solution components
- GenAI-powered enterprise knowledge assistant for real-time query resolution
- RAG-based architecture integrating documents, databases, and internal systems
- AI agents for workflow automation and task execution
- Intelligent document processing for unstructured data ingestion
- Integration with existing enterprise platforms and tools
Business outcomes
- 55% reduction in manual effort for information retrieval and analysis
- 40% faster decision-making across key business functions
- 35% increase in process efficiency through automated workflows
- 60% improvement in access to accurate, real-time information
- $3.2M annual productivity gains across operations
Everest helped us turn scattered information into a system that not only answers questions but takes action. This has fundamentally changed how our teams work.