AI adaptation of strategic knowledge is accomplished in three steps:
- Extraction of key elementsWhen THEO uploads a business plan, make sure it includes core sections such as market analysis, user pain points, and competitor matrix. The system will focus on recognizing the structure of TAM/SAM data, value proposition, etc., and translate it into AI-friendly expressions such as "Our target users are... they face... problems in... scenarios".
- Strategic Questioning Techniques: Once you have access to the knowledge base, ask the AI questions that include specific constraints (e.g., "Within a budget of $500,000, recommend 3 user acquisition channels for the moms and dads group in Tier 2 and Tier 3 cities"). Avoid generalized questions about "how to grow", based on the resource constraints in the plan.
- Iterative validation mechanisms: The first generated strategic recommendations should be validated with the actual business (e.g. small-scale pilots), feeding the resultant data back into the THEO system. When the market changes, new financial data or user research is uploaded and the AI recommendations will be automatically adapted.
Typical cases show that companies using this methodology have up to 82% overlap between AI strategy recommendations and manual teams, with a 3x increase in recommendation adoption.
This answer comes from the articleTHEO: A core tool for transforming business information into an AI intelligent assistantThe
May not be reproduced without permission:AI productivity tools " How to realize the transformation of a startup business plan into an AI actionable strategy proposal?
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