Knowledge Management Solutions: Core Use Cases Knowledge management solutions have five core use cases: AI-powered knowledge creation, intelligent search and discovery, knowledge analytics and insights, knowledge governance and quality, and knowledge lifecycle management. This graphic has an associated spreadsheet that includes the objectives and top differentiators of each. Please access the spreadsheet for details.

GenAI Makes Knowledge Management Cool Again

AI models are only as intelligent as their training data and knowledge. Before implementing agentic AI or predictive analytics, invest in normalizing and integrating the data that flows through incident management, problem management, change management, request fulfillment, and knowledge management. Replacing existing tools is not the objective; the goal is building the data layer that connects them.

The report also introduces the data graph as a bridge to knowledge graphs, capturing relationships and usage patterns so organizations can give agents more context without jumping directly to a full knowledge graph architecture. Knowledge Graphs Define The Destination Combine Semantics, Ontology, And Knowledge Graphs For AI-Ready Data (with Indranil Bandyopadhyay and Charlie Dai) demystifies semantics, ontology, and knowledge graphs as terms.

The limits are the ones knowledge management has wrestled with for decades, and packaging them as agentic does not remove them. Ontologies and knowledge graphs codify explicit knowledge, the kind already written into documents, while the tacit judgment a senior adjuster applies but never records stays outside the graph. Agents built on flawed content reproduce those flaws at scale.

Figure 1 Build An Agile Knowledge Management Practice For Development Teams In software development, knowledge management enables teams to capture, organize, and share critical information. An agile knowledge management practice ensures that developers can access essential resources for problem-solving, innovation, and maintaining code quality, while leaders can preserve collective expertise and mitigate knowledge loss from turnover.

Organizations that capture, structure, and disseminate institutional knowledge well directly improve the developer experience, often measured in terms of productivity, satisfaction, and velocity. The Forrester report, Knowledge Management And The Developer Experience, underscores the strategic importance of knowledge management (KM) in modern software organizations.

The Forrester Adaptive, Resilient Technology Operations Model The Forrester Guide To Configuration Management Tame The Asset Management Beast The Forrester Guide To Incident And Crisis Management Build A Knowledge Management Culture To Increase Knowledge Flow And Learning AIOps: A Crucial Component Of High-Performance IT Service Desk As A Product Team Take Seven Steps To Implement AIOps And Observability For IT Operational Insights Accelerate.

Knowledge management received less stage time at Knowledge 2026 than any major domain, and the absence is the analysis. ServiceNow has stopped treating knowledge management as a product category and now treats it as a substrate that feeds specialists and the conversational front door. The article is no longer the deliverable; the answered question is.

The handful of AI-assist features include reply suggestions, sentiment analysis, summarization, live translation, knowledge and content generation, and in-context coaching. Freshworks includes AI insights with conversational analytics to detect anomalies and perform root cause analysis. Knowledge management is fair, but support for process management and automation is weak.