Knowledge management in the AI era
Great organizations don’t just create knowledge. They compound it.
AI is creating a new generation of enterprise knowledge. Make sure it doesn’t disappear with the answer.
From knowledge management to organizational learning
AI doesn’t just consume enterprise knowledge. It creates new knowledge as people and AI work together.
Knowledge management has traditionally helped organizations capture, organize, share, and reuse what people know.
AI changes the equation.
Every analysis can develop valuable assumptions, definitions, analytical methods, evidence, and human judgment. When only the answer is retained, much of that newly developed knowledge is lost.
Enterprise Reasoning captures the reasoning behind the answer and makes it available to what happens next.
- 01 / Database context
- Start with enterprise data, definitions, and existing knowledge.
- 02 / Reasoning Plan
- Make assumptions, analytical steps, and evidence explicit.
- 03 / Human-in-the-loop review
- Apply human judgment to refine and validate the approach.
- 04 / Reuse
- Bring the reviewed reasoning into the next analysis.
Put organizational learning to work
Make each analysis a starting point.
Connect database context, Reasoning Plans, and human judgment so teams can reuse what the enterprise already knows.
Preserve knowledge from AI analysis
Keep the definitions, assumptions, and methods developed during problem-solving alongside the reasoning behind the answer.
Make expert judgment reusable
Keep human-in-the-loop review central. Refine Reasoning Plans with the business context and judgment that people contribute.
Reuse reasoning across recurring work
Start the next analysis with existing enterprise knowledge, then adapt the approach as questions and data change.
What should your organization remember from its next AI analysis?
Talk with us about making human-AI reasoning a durable part of your enterprise knowledge.