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https://platform.openai.com/docs/api-reference/introduction

Submitted use case ideas so far:

1. Check the sentiment of the notes and comments that is added by the client, write it to a dataset, then use the dataset to create a dashboard and bot to alert management
2. Check the reply from the client, if they give the instruction to close the ticket, then auto closes the ticket.
3. Give input windows in the Browser to compose a time entry or reply, polish the English to make sure there is no grammar or spelling error, and format the time log based on the company standard.
4. Detect the type and subtype progressive, based on the original description and follow-up reply and time entries, alert the ticket owner or dispatch to approval for the changes
5. Writing the ticket summary into the solution field when the ticket is ready to close.

Please submit your idea to support@mspbots.ai, thanks!