Enterprise asset management integrates information and knowledge across enterprise systems to build a holistic view across assets, their lifecycles, documentation, and performed asset management activities. It helps automate end-to-end workflows spanning across systems and related documentation, facilitates capturing and reusing knowledge, and enables new possibilities for AI-driven insights.

Enterprise asset management is essential for creating a comprehensive view of assets, their lifecycles, documentation, and management activities. It enables companies to automate end-to-end workflows across teams, capturing and reusing knowledge assets. This enhances AI-driven insights, optimizes asset utilization, and strengthens collaboration, productivity, and overall business performance.

Knowledge management is the process of capturing and reusing organizational knowledge. It connects information across disconnected teams, systems, and processes allowing workflows and templates that capture repeatable knowledge and leveraging AI for additional insights across asset information.

Knowledge management allows the capture and reuse of repeatable organizational knowledge through workflows and templates, ensuring that best practices are consistently applied across the organization. Staff will spend less time searching for knowledge and more time activating knowledge and insights. Knowledge work automation facilitates AI-driven insights across asset information that help identify patterns and optimize processes, leading to more efficient operations.

Knowledge management connects knowledge across disconnected systems, processes, and teams. This allows integration with asset information management through connected workflows and templates that capture reusable organizational knowledge that can be leveraged for best practices and accurate AI insights.