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Long Term Bot Management

Knowledge management is not a one and done process. To keep your AI Virtual Assistance; V.A., successful and to drive adoption you must continuously work on improving it.  

1. Monitor:
Initially, you want to monitor the Train section daily. Gradually you can reduce the monitoring to every other day to weekly. We don’t recommend you do less than weekly.  

2. Encourage Usage:
To encourage usage, contact users; can be via email etc, whom had an issue and let them know this has been addressed or we are looking into it.  

3. Identify AI V.A. super users:
You will now have bot super users. Speak to them to find out what they like/dislike and what they want to see next for the chatbot. These will become your newest ambassadors.  

4. Communication:  

Anytime there is a new feature or something noteworthy happening with the AI V.A. communicate it. You want end-users to know this is a continuous process and that you hear their needs and are addressing it.

Download Document

Long Term Bot Management

Knowledge management is not a one and done process. To keep your AI Virtual Assistance; V.A., successful and to drive adoption you must continuously work on improving it.  

1. Monitor:
Initially, you want to monitor the Train section daily. Gradually you can reduce the monitoring to every other day to weekly. We don’t recommend you do less than weekly.  

2. Encourage Usage:
To encourage usage, contact users; can be via email etc, whom had an issue and let them know this has been addressed or we are looking into it.  

3. Identify AI V.A. super users:
You will now have bot super users. Speak to them to find out what they like/dislike and what they want to see next for the chatbot. These will become your newest ambassadors.  

4. Communication:  

Anytime there is a new feature or something noteworthy happening with the AI V.A. communicate it. You want end-users to know this is a continuous process and that you hear their needs and are addressing it.

Download Document
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