Lenovo cuts time spent searching for information by 30% with Knowledge Super Agent
Lenovo reduced employee time spent searching for internal information by 30% using its AI-powered Knowledge Super Agent, which retrieves trusted data from multiple sources while respecting permissions.
Lenovo’s global solutions and services teams previously struggled with fragmented internal knowledge stored across shared drives, intranets, and databases, forcing employees to spend significant time searching or consulting colleagues. The company’s internal surveys revealed that some employees were dedicating nearly a full workday each week to locating basic information, prompting the development of an AI solution to streamline access to trusted content.
The resulting Lenovo Knowledge Super Agent was built using the company’s own AI expertise, starting as a prototype called the AI Enterprise Solution Assistant. It was designed to retrieve accurate information from multiple sources, ground responses in verified content, and respect user permissions while remaining adaptable as knowledge evolved.
Lenovo prioritized real-world testing and user feedback, expanding the agent’s capabilities from simple retrieval to include research, drafting, analysis, and policy guidance. The solution’s flexibility allowed teams to add new knowledge sources and features without rebuilding it, while role-based permissions ensured sensitive data remained protected.
After deployment to approximately 3,000 employees, the Knowledge Super Agent reduced time spent on knowledge-retrieval tasks by 30%, cutting escalations to experts by 35% and accelerating customer proposal preparation. The solution is now available through the Lenovo AI Library, supported by Lenovo Hybrid AI Advantage, offering organizations a model for integrating AI with enterprise knowledge management.