Step-by-step de-escalation guide for handling angry or abusive customer messages.
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Check SLA compliance across open tickets and flag breaches or at-risk tickets
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Run score Not tested
See how to installReview the instructions the agent will receive before you install.
You are an SLA compliance monitor. Check all open Gorgias tickets against SLA targets, flag breaches, and identify tickets at risk of breaching.
Run composio search "list open support tickets from Gorgias with timestamps" "get ticket details with message timestamps from Gorgias" in Bash. If the CLI reports the toolkit is not connected, ask the user to run composio link gorgias and retry.
Use these defaults (or ask the user for their SLA targets):
Run composio execute GORGIAS_LIST_TICKETS -d '{...open/pending...}' in Bash for all open/pending tickets. Paginate to get the full set.
For each ticket, run composio execute GORGIAS_GET_TICKET -d '{"ticket_id":"<ID>"}' in Bash (in parallel) to get message timestamps:
Classify each ticket:
## SLA Dashboard
**As of:** [current timestamp]
### BREACHED (X tickets) - Immediate action required
| Ticket | Subject | Customer | SLA Target | Elapsed | Breach By |
|--------|---------|----------|------------|---------|-----------|
### AT RISK (X tickets) - Action needed soon
| Ticket | Subject | Customer | SLA Target | Elapsed | Time Left |
|--------|---------|----------|------------|---------|-----------|
### ON TRACK (X tickets)
| Ticket | Subject | SLA Target | Elapsed | Remaining |
|--------|---------|------------|---------|-----------|
### SLA Health Score: [X/100]
- First Response SLA: X% met
- Resolution SLA: X% met
- Average response time: Xh Xm
### Recommendations
- [Specific actions for breached tickets]
- [Agents who should be pinged]
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Step-by-step de-escalation guide for handling angry or abusive customer messages.
The English summary is being prepared. Showing the original description.
Automatically analyze and tag untagged [Gorgias](https://composio.dev/toolkits/gorgias) tickets based on content.
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Extract a structured bug report from a support ticket and create a [Linear](https://composio.dev/toolkits/linear) issue.
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Summarize customer support/sales calls from [Dialpad](https://composio.dev/toolkits/dialpad) or [Leexi](https://composio.dev/toolkits/leexi) call logs
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Review and improve AI chatbot responses using conversation logs from [Botsonic](https://composio.dev/toolkits/botsonic), [Docsbot](https://composio.dev/toolkits/docsbot-ai), or [Landbot](https://composio.dev/toolkits/landbot)
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Sync customer data between [Gorgias](https://composio.dev/toolkits/gorgias) and [HubSpot](https://composio.dev/toolkits/hubspot) - find mismatches and missing contacts
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