Accumulation of New Business Know-How

AI Systematizes the Success and Failure Factors of New Business Initiatives for Future Expansion

Background and Challenges

Each term’s person in charge designs the program individually, and the process is not standardized

Mentoring records and feedback are not shared, and important insights are dispersed

Success and failure factors become individual knowledge, preventing an organizational learning cycle and leading to repeated mistakes

AS-IS (Conventional)

・Operations vary by person in charge

・Knowledge remains siloed within individuals

・The same mistakes are repeated

TO-BE (After Implementation)

・Process standardization through structured questions

・AI automatically structures knowledge

・Rapid learning through playbooks

Operational Flow

1. Deliver phase-specific standard questions to participants

2. Accumulate activity records and mentoring content through follow-up interviews

3. Program participants consult AI chat about lessons learned

Information That Can Be Obtained

・Hypothesis validation logs / customer insights

・Collection of success and failure cases

・Updated playbooks

Implementation Effects (KPI)

・Launch time: -40%

・Knowledge reuse: improved

・Mid-period pivot: optimized