InvGate Service Management has been included as a representative vendor in Forrester's Knowledge Management Solutions Landscape (2026), the firm's overview of the vendors shaping the Knowledge Management market.
What the report covers
Forrester's Landscape reports give technology and business leaders a view of an entire market: the full field of vendors and how they differ by size, type of offering, geography, and use case. Forrester frames Knowledge Management solutions as intelligent systems that capture, organize, share, analyze, and improve knowledge — structured and unstructured — using capabilities such as AI, machine learning, natural language processing, cognitive search, and generative AI.
The report is designed to help buyers understand the value the category delivers and investigate the options that fit their needs. As one of the most influential independent research and advisory firms, Forrester makes inclusion in this overview a useful reference point for teams evaluating Knowledge Management software. A central theme of the Q2 2026 edition is a shift now reshaping the category: enterprise knowledge has to serve both people and AI agents.
Where InvGate Service Management fits
Knowledge Management is built into InvGate Service Management as a native module aligned with ITSM processes, so teams manage knowledge and service delivery in one place, with approval workflows, role-based access, categorization, and feedback all tied to service requests. On the self-service side, InvGate's Virtual Service Agent surfaces relevant articles to employees, with possible solutions to help them resolve issues without waiting on an agent.
InvGate Service Management's AI Hub extends this further. Knowledge Article Generation turns a resolved ticket into a drafted article in under 30 seconds, keeping the knowledge base current as work gets done. Knowledge Discovery uses AI to analyze closed tickets and extract structured fragments called Snippets, turning day-to-day operational history into governable knowledge without anyone writing articles by hand. Approved Snippets then power Solution Recommendations for agents inside active tickets and Virtual Service Agent responses for end users, with staged activation that teams control. The Virtual Service Agent draws on both published articles and AI-discovered Snippets to resolve requests through natural conversation across chat platforms and the self-service portal, and more.
A quick word on Knowledge Management for service desks
In a service desk, Knowledge Management is the discipline of capturing how incidents and requests get resolved, then making those answers easy to find and reuse. It is a core ITIL practice for good reason. When the right article or solution surfaces at the right moment, employees can help themselves, agents stop solving the same problem twice, and resolution times drop.
Knowledge Management is also what powers self-service and ticket deflection, and it has become the foundation of AI-driven support: virtual agents and AI recommendations are only as accurate as the knowledge they draw on. For ITSM teams, that raises the stakes on keeping knowledge complete, current, and trustworthy, since the same content now serves employees, agents, and the AI features working alongside them.
Attribution: The Knowledge Management Solutions Landscape, (Q2 2026), Forrester Research, Inc. Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications.
