Capture the reason behind a good example, not just the answer. Newer colleagues need to understand when the answer changes and when to ask a specialist.
Won’t people just copy the suggested answer?
They might. So test whether they can explain the next step when one detail changes.
1. Capture the reason behind a good example.
The situation. What was the customer trying to achieve?
The judgment. Which detail changed the response, and why?
The boundary. When would a different answer or a specialist be needed?
2. Explain the answer and show the guidance.
A fictional case:
- The question
- A routine delivery question from a customer.
- The assistant
- Retrieves the applicable process, prepares a suggested reply, and identifies the supporting passage and any missing information.
- The colleague
- Checks the source before relying on the explanation.
3. Check understanding with a different case.
Give the learner a fictional example with one important detail changed. Ask them to explain the right next step and when they would seek help. A mentor reviews the reasoning, not merely the wording.
4. Start with one question experts keep answering.
Collect a few approved examples, ask the expert to explain the exceptions, and test the material with a newer colleague. Keep feedback flowing back to the owner of the guidance.
Practical check: The aim is to make experience easier to share, not less important.
Read more: Your AI Champion Has a Queue: How to Share an AI Workflow With the Team · Using AI to Practise Difficult Customer Conversations
The example is fictional. This is general guidance, not advice for your situation.