Support Automation #3372: NPS Collection with AWS S3 + OpenAI + Asana

Problem

High-volume nps collection queues in AWS S3 stall when downstream updates to OpenAI are manual.

Automation standardizes triage and notification for the support stack.

Workflow

AWS S3 ticket event → classify/priority rules → update OpenAI → ping channel in Asana.

Tools Used

• AWS S3
• OpenAI
• Asana

Setup Steps

1. Connect AWS S3 and OpenAI with scoped API permissions.
2. Configure the nps collection entry condition (Hard difficulty in this library entry).
3. Set field transforms and default values between tools.
4. Add a dead-letter or retry path for failed runs.
5. Validate with sample data before go-live.

Expected Outcome

• nps collection runs without manual copy-paste between AWS S3, OpenAI, Asana.
• Status updates stay aligned across the connected tools.
• Failures surface in one place instead of silent drift.

Benefits & ROI

• Ranked as Medium ROI in our template dataset for Support.
• Typical implementation complexity: Hard.
• Frees ops time from repetitive nps collection tasks in this stack.

Troubleshooting

• Confirm ticket status enums match between helpdesk and downstream tools.
• Test reopened tickets to avoid duplicate threads.
• Map priority and assignee fields explicitly.