Live · continuously improvingNorth American direct-sales team
CASE 01 / TEAM INTELLIGENCE
Turn top-sales experience into a capability the whole team can call on.
This was not a document upload followed by a request that the team search for itself. It brings proven product knowledge, operating methods, and scenario judgment from leaders and top sellers into everyday work so the team gets faster support, improves together, and builds an AI-ready way of working.
The business had strong experience. It still lived with a small number of people.
Product knowledge, operating methods, and sales judgment were spread across training, files, leaders, and a small number of top sellers. Questions still returned to the frontline, fragmenting core-team time and making it difficult for newer sellers to reuse methods that had already been proven.
Three problems the project had to solve
- Reduce waiting and repeated inquiries so the team receives faster support and becomes more efficient in real sales situations.
- Capture and reuse leadership and top-seller experience while separating stable knowledge from questions that require human judgment.
- Record real questions, human corrections, and missing knowledge so team capability keeps improving with the AI era.
CASE 01 / TEAM INTELLIGENCE
How the agent entered the work
01Map recurring questions
Use real team inquiries to define the first knowledge set, scenarios, and boundaries for questions that cannot be automated.
02Capture top-sales experience
Organize product material, recurring questions, leadership judgment, and proven sales methods into maintainable answer patterns.
03Use the existing channel
Keep the team in a familiar communication channel instead of adding a new system for every question.
04Improve from real usage
Review new questions, human edits, and misses, then extend the knowledge and answer loops.
Launch was the beginning of reusing strong experience across the whole team.
The assistant is in active use. It handles recurring questions first, while complex issues and important operating judgment still go to leaders. New and frontline sellers apply mature methods in the flow of work, while real questions and feedback keep improving both team efficiency and AI working capability.