In the session “Enterprises, KM, & AI: From Fragmented Knowledge to Intelligent Systems,” Jess DeMay (Enterprise Knowledge) and Rachel Teague (Emory Consulting LLC.) co-presented at KMWorld 2025, exploring how organizations can evolve from disconnected information environments into intelligent and adaptive systems. The presentation focused on how strong knowledge management foundations enable AI to reason, learn, and support better decision-making across the enterprise.

Jess and Rachel highlighted how the role of KM leaders is changing. Rather than focusing solely on curating content or managing repositories, KM leaders are increasingly responsible for shaping the structures, governance, and connections that allow intelligence to emerge across the organization. This includes aligning people, processes, and technology so that both humans and machines can find, interpret, and act on knowledge effectively.

The session combined practical frameworks with hands-on activities designed to make these ideas tangible. Participants mapped where knowledge gets stuck within their organizations, across systems, teams, and processes, and examined how these breakdowns limit learning and adaptability. Attendees then designed a micro-agent concept for their own environment, identifying where systems need guidance, feedback loops, and agentic behaviors to help them learn, adapt, and improve over time.

Participants in this session gained insights into:

• How knowledge management supports intelligent and adaptive systems.
• Where knowledge commonly breaks down and limits intelligent system behavior.
• Practical ways to design micro-agents that surface gaps and guide system behavior.
• How KM practices enable scalable and sustainable AI initiatives.