CRO/SMO tacit knowledge
Extract and standardize successful setup patterns through AI-driven conversations, and codify them as explicit knowledge.
Manufacturing industry
Pharmaceuticals and Healthcare
Transportation
Talent
CS / BPO
Gov / Education
Extract, standardize, and formalize successful setup patterns through AI conversations so they can be handed over to new owners
Background and Challenges
Reliance on verbal handoffs from experienced staff and individual notes causes information to be scattered and frequently lost
The cost for each person to learn the differences between facilities is high
The know-how for launching operations is highly dependent on individual expertise, creating significant risk when ownership changes
Long setup periods are delaying the start of clinical trials
AS-IS (Conventional Approach)
・Information is fragmented due to reliance on verbal handoffs and notes
・High learning cost for each facility
・Trial start delays caused by launch delays
TO-BE (After Implementation)
・Consolidate all expertise through asynchronous collection
・Automatically structure success and failure factors
・Automatically generate facility-specific procedures
Operational Flow
1. Send interview URLs to all stakeholders at once
2. AI extracts know-how and risks from the responses
3. Generate procedure manuals optimized for each facility type
4. New owners refer to the materials and complete setup quickly
Information That Can Be Collected
・Facility-specific requirements and feature list
・Key considerations in the approval process
・Risk checklist
Implementation Impact (KPI)
・Setup period: -40%
・Rework instances: Significantly reduced
・Process compliance rate: Improved
