KM Knowledge Bytes: The Three Faces of AI Agents Every KMer Should Know

 Everyone is talking about AI agents… but not all knowledge is created equal.

 And as Knowledge Managers, our roles shift accordingly.

Let’s unpack it:

1. Finding Knowledge & Information

• RAG-based agents (Retrieval-Augmented Generation) are becoming common—drawing answers from defined organizational content.

• Our role: Encourage their creation, promote their use, and embed them in self-service tools, professional portals, and SoP knowledge bases.

2.Automation Agents

• From syncing calendars to handling routine workflows—these agents streamline processes.

• Our involvement is often limited here, but staying informed is key.

3.Smart KM Agents (This is where the magic happens!)

• Complex decision-making?

• Expert-driven methodologies?

• This is our domain.

 We capture expert knowledge, structure it, conceptualize it—and help build intelligent agents that support real work in real-time.

This isn’t just about doing KM differently.

 It’s about doing different things.

 A powerful example of KM reimagined for the AI era.