For 25 years, knowledge management teams have led the way in capturing and transferring expertise through Knowledge Harvesting—a proven methodology for systematically capturing, structuring, and applying expert knowledge across domains.

 

However, enterprise knowledge capture has been constrained by the need for specialized skills to complete an entire project and the limited availability of experts, making scalability a challenge.

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Through three years of research and development with emerging AI technology, Knowledge Harvesting has evolved from a structured but labor-intensive process into a dynamic, AI-driven system that continuously learns and adapts.

 

Knowledge Harvesting Prompts now deliver superior results while requiring just 1/5 of the facilitation resources.

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• Focus on a problem, challenge, or critical knowledge area.

• Elicit information from AIs, documents, and subject matter experts.

• Apply insights to make informed decisions and take appropriate actions.

• Organize and structure knowledge in a clear, concise, and actionable way.

• Evaluate and adapt interactions for learning and performance support.

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Solve problems. Capture knowledge. Improve AI interactions. Do all three at once.