Inquiry Response Process, AI Summary

/ Workflow Apps / Inquiry Response, OpenAI API

Inquiry Response Process, AI Summary 20240129
This process manages the progress of inquiries from receipt to response. After receiving an inquiry via a web form, a summary of the inquiry is automatically generated by AI (ChatGPT). The person in charge reads the content of the inquiry with reference to the summary and prepares a response.
Worker (#of Swimlane: 2)
  • General Inquiry Desk Leader
    • Responsible for the inquiry response team.
  • Responder
    • Person in charge of responding to inquiries.
Business Flow (Complexity of Workflow: 12)
  • 61. Designate Responder
    • The person in charge of the inquiry response team will designate a responder.
  • 132. Response
    • The person responding to the inquiry enters the response.
  • 193. Evaluation of response
    • The person responsible for the inquiry response team evaluates the response results.
  • 33x1. ChatGPT Summary
    • The workflow infrastructure summarizes the query content.
  • 8x2. Set Title
    • The workflow platform sets the subject.
  • 9x3. Destination, response email text
    • The workflow infrastructure sets the recipient of the response email and the response email text.
Business Process Variables (#of Data Item: 26)
  • ▼ Inquiry Source ▼ 0
  • Name q_name 1 *
  • Company q_company 2 *
  • Email Address q_email 3*
    • The email address of the inquirer is stored.
  • Telephone Number q_tel 4
    • Stores the telephone number of the inquirer.
  • Noteworthy Past Inquiries q_note 5
    • Stores notable past queries regarding the inquirer.
  • ▼ Inquiry Form ▼ 6
  • Date Received q_receiveDatetime 7
    • The date and time the inquiry was received is stored.
    • processInstanceStartDatetime
  • ChatGPT Summary of Inquiries q_ChatGPTcompletion 34
    • A summary of the query content (response text from ChatGPT) is stored.
  • Inquiry ID q_id 8
    • #{#sformat(‘%d’, processInstanceId)}#{#sformat(‘%04d’, processInstanceSequenceNumber)}
  • Inquiry Type 1 q_kind1 9
  • Inquiry Type 2 q_kind2 10
  • Product Features q_function 11
    • Product functions related to the inquiry are stored.
  • Inquiry Detail q_inquiryDetail 12*
    • Inquiry details are stored.
  • Inquiry Files q_inquiryFile 13
    • Files related to the query will be stored.
  • ▼ Response Details ▼ 14
  • Responder q_operator 16
    • The name of the person in charge of creating the query response is stored.
  • Response Date q_responseDatetime 17
    • The date and time of the reply to the inquiry source is stored.
  • Email Response Recipient q_mailTo 20
    • Stores the destination address for inquiry response emails.
  • Response Email Sender q_mailFrom 21
    • The sender address of the inquiry response email is stored.
    • customer-service@example.com
  • Response Email Body q_mailBody 22
    • The inquiry response email body is stored.
  • Response Files q_responseFile 33
    • Stores files related to query answers.
  • ▼ Internal Communication ▼ 29
  • Correspondence Rating q_point 30
    • Stores the rating for handling inquiries.
  • Knowledge should be shared internally q_knowledgeFlag 31
    • The content of the inquiry and whether the results should be shared internally as knowledge is stored.
  • Comment q_comment 32
    • Memos and comments are stored.

Field Name, num, Initial Value

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Notes

  • Example of prompt for the AI (ChatGPT) connection step
I want to read and understand long questions in a short time so that I can answer them quickly.

Please summarize in 20 words or less the following Questetra BPM Suite query.

---[Inquiry Text]---

(Inquiry text here)

Capture

See also

問合管理プロセス,優先度ＡＩ判断
問合管理プロセス,回答助言部署、AI判断
OpenAI ChatGPT: チャット
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