Enabling enterprise intelligence with HCLTech and Google Cloud
A leading global provider of cloud-based communication and collaboration solutions partnered with HCLTech and Google Cloud to explore the potential of Agentic AI in enhancing enterprise productivity and decision-making. This engagement leverages Google Gemini Enterprise and HCLTech’s deep integration expertise to demonstrate how contextual, conversational AI can deliver rapid and accurate insights across fragmented enterprise systems, laying the foundation for a scalable, AI-driven transformation.
The Challenge
- Need to accelerate initial information gathering and query/ticket triage processes
- Requirement to validate out-of-the-box conversational AI capabilities for enterprise use
- Search through highly siloed data, limiting access to unified, GenAI-driven insights
- Fragmented systems that reduce operational efficiency and visibility

The Objective
- Implement an early-stage deployment of Google Gemini Enterprise to assess enterprise readiness
- Enable secure and context-aware access to data across multiple enterprise repositories
- Evaluate Gemini Enterprise’s performance and accuracy in synthesizing cross-system information
- Lay the groundwork for future AI-driven business automation initiatives

The Solution
- Configured Workforce Identity Federation for secure, role-based access
- Integrated Google Cloud Storage, ServiceNow, SharePoint, OneDrive and Outlook into a unified conversational interface
- Developed an evaluation framework to measure Gemini Enterprise's effectiveness and user experience
- Implemented Google Gemini Enterprise for intelligent, persona-based search and response across enterprise systems

The Impact
- Established a strong foundation for future automation and Agentic AI expansion
- Demonstrated Gemini Enterprise's conversational skills in accurately handling natural language queries for different personas.
- Productivity benefit by 30-40% through automated contextual search.
- 40% reduction in service desk tickets through self-service.

