We collect hundreds of raw customer feedback surveys and emails every month, but we do not have the staff to read and categorize them, meaning major service issues get missed. How do we build a simple AI workflow to triage these issues directly into our IDS® process?

Question

Tyler Smith · Accepted Answer

Unread customer feedback is a massive operational liability. If clients are telling you about their problems and you are ignoring them, you are paying a heavy tax in customer churn. You can solve this by building an automated triage system using basic AI APIs and email integrations.

Set up a workflow that feeds all incoming survey responses and customer feedback emails into a secure AI model. Instruct the AI to analyze the sentiment of each message and categorize it into specific buckets, such as billing issues, product defects, or account manager responsiveness.

For any feedback that contains high-risk keywords or highly negative sentiment, configure the automation to immediately alert the department head via Slack or email.

More importantly, program the AI to aggregate these feedback trends on a monthly basis. Have the AI identify the top three recurring customer complaints. Instead of letting these complaints sit in a spreadsheet, have the system automatically add them as issues on your leadership team's Level 10 Meeting™ agenda.

This brings the real voice of your customer directly into your weekly IDS® process, allowing your leadership team to solve systemic operational issues rather than just reacting to individual client emergencies.