AI Agent for Mojo Helpdesk

"Check last week's tickets in Mojo Helpdesk, see which ones have no response, and draft a polite follow-up in Mojo Helpdesk for each. Post the list to Slack when done."

"Scan all open tickets for keywords like 'login' or 'password' and add a 'Security' tag to those tickets."

"Analyse the last 100 tickets in Mojo Helpdesk and provide a bulleted list of the top 3 recurring problems."

"Extract the phone numbers from recent ticket signatures and update the corresponding contacts in HubSpot."

"Find all tickets marked as 'Resolved' more than 7 days ago and change their status to 'Closed'."

"Find tickets that mention 'cancel' or 'refund' and create a priority alert in Slack."

"Compile a list of all tickets from high-value accounts and email a summary to my manager."

"Find all tickets closed yesterday and draft a feedback request email for each customer."

"Copy the resolution notes from Mojo Helpdesk tickets into the 'Notes' field of the associated Salesforce records."

"Filter tickets from customers who signed up in the last 30 days and highlight them for my review."

"Calculate the average time to first response for all tickets last month and export the data to Google Sheets."

"Identify tickets with outdated tags and replace them with our new standard category names."

"Check if ticket volume today is 20% higher than the daily average and alert the team in Slack."

"Download all attachments from tickets older than one year and save them to a Google Drive folder."

"Review open tickets and add a prefix to subjects that are missing a category tag."

"Read the last 20 tickets and tell me if our support team is being helpful and polite."

"Search tickets for mentions of 'feature' or 'add' and list the most requested items."

"List the top 5 customers who have opened the most tickets this month."

"Scan tickets for mentions of 'upgrade' or 'pricing' and flag them for the sales team."

"Calculate how many tickets each support agent closed this week and post the leaderboard to Slack."