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.

GenAI Makes Knowledge Management Cool Again

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.

The good news is that rapid advances in IT service management, increasingly enabled by AI, has automated away the worst headaches from an operations and knowledge management standpoint. The bad news is that cloud support tiers often mimic old-school IT support structures — missing opportunities for user self-service, tying up support teams with low-level tasks, and diverting resources away from more complex tasks.

Building an agile knowledge management practice. Traditional knowledge management often fails in cloud environments because static documentation quickly becomes outdated, creating silos and slowing incident resolution. To evolve, shift to an agile approach that treats knowledge as a living asset. Start by fostering a culture of sharing and collaboration across teams.

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.

If technology operations are inhibiting data, AI, and analytics delivery, use the OpsIQ Maturity Index to establish a defensible baseline across monitoring, automation, optimization, alerting, and knowledge management, contrasting current and target states to surface operational gaps. Roadmap and activation, prioritize assessing your value-driven data strategy maturity.

Many organizations have struggled to bridge the gap between vision on agentic AI and practical progress. Recent examples from the financial services industry — often mischaracterized as slow to adopt agentic— are defying the trend.

AWS’ Amazon Bedrock Knowledge Bases (March 2025), Microsoft’s Azure AI Search (rebranded in late 2023), and Google’s Vertex AI RAG Engine (January 2025) set the tone globally. In China, Alibaba, Baidu, Huawei, and Tencent RAG central to their platforms with native knowledge management solutions, signaling strategic importance. By year’s end, headlines shifted to multicloud container platforms and agents, but these still depend on retrieval and grounding.