- IT leaders and knowledge managers are currently overwhelmed by the sheer volume of internal information distributed across systems such as SharePoint, Slack, Google Drive, and Confluence.
- Employees frequently spend excessive time searching for documents, conversations, or expert knowledge, hurting productivity and decision-making.
- Hybrid and remote work have intensified these challenges, making it harder to retain and access institutional knowledge.
- As a result, many businesses are turning to AI-powered knowledge management platforms that can quickly surface and summarize relevant information in context.
Our Advice
Critical Insight
- AI knowledge management technologies offer potential, but the industry is always changing, which can be confusing for buyers.
- Solutions such as enterprise search, generative AI copilots, and knowledge bases frequently make overlapping claims.
- While they provide features like semantic search and conversational interfaces, buyers are concerned about hallucinated responses, poor corporate integration, and restricted data governance.
- Many organizations struggle to confidently evaluate and compare technologies beyond marketing demos.
Impact and Result
- This buyers guide will help you navigate the crowded AI knowledge management market, understand key trends, explore common use cases, and identify the features that truly differentiate solutions.
- You will emerge with a requirements workbook ready to engage with leading vendors to find the best fit for your organization鈥檚 knowledge goals, technical requirements, and user needs.
- The guide is designed for IT leaders, knowledge managers, and department heads looking to reduce time spent searching for information, improve access to institutional knowledge, and enable smarter decision-making.