Resolve customer support tickets automatically with AI

How it works

1. 1.Schedule periodic checks for open tickets in Jira
2. 2.Analyze ticket content using LLM chain to understand issues and context
3. 3.Classify customer messages by sentiment to identify critical cases
4. 4.Generate AI-powered solution recommendations based on issue type and history
5. 5.Send automated responses to Slack for the team and Twitter for public replies
6. 6.Log all resolutions, decisions, and metrics in Notion for auditing and optimization

Use cases

• Reduce response time for high-impact urgent complaints
• Automatically route and prioritize tickets based on sentiment and complexity
• Identify recurring customer issues to drive product improvements
• Deliver instant public responses to common questions on Twitter/X

Requirements

• Active OpenAI account with valid API key and sufficient credits
• Jira project configured with appropriate read and write permissions
• Slack channel and Twitter/X account authorized for automated posting
• Notion database set up to store and query resolution records

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.