Scenarios
Linear in DarhimLabs connects support with AI Inbox, agents and automations. The most common scenario is ticket triage, SLA routing, support automation, but the connector is not just a simple "send event". DarhimLabs maintains object mapping, last sync status, health check scopes and audit log of configuration changes in one place.
In practice, the team sees customer conversation, AI recommendations, integration status and sync result without switching between tools. If an AI agent qualifies a lead, escalates an issue or updates data, Linear receives only the fields explicitly selected in workspace configuration.
Use cases
- Automatic conversation enrichment with context from Linear.
- Synchronization of qualification results, statuses or documents without manual rewriting.
- Escalation to human with AI decision history and source link in Linear.
- Integration effectiveness reporting in Command Center.
- Test delivery and replay for ticket.created and ticket.updated events without touching production data.
- Health check of token, scopes, rate limits and last successful sync before enabling automation.
When to use this integration
Use Linear when your team already works in this tool and you want DarhimLabs to act as an AI layer over your current stack. The integration is particularly useful for flows: ticket triage, SLA routing, support automation.
The biggest return appears when customer conversations create real operational tasks: a lead needs to reach sales, an issue needs support, a document needs the knowledge base, a payment needs verification or a deadline needs the calendar. DarhimLabs then enforces the rule: first context and workflow consent, only then write to external system.
Limitations
- Sync scope depends on DarhimLabs plan and permissions granted in Linear.
- DarhimLabs does not overwrite fields outside configured field mapping.
- For sensitive data we recommend a separate test workspace before enabling production.
- If Linear restricts API with rate limits or plan-based access, health check shows this as configuration risk instead of promising full realtime.
- Coming soon or beta mode is not presented as production connector. Integration status is visible in marketplace and on this page.
What we sync
Synchronization covers objects: Tickets, Customers, SLA events. Each object has explicit sync direction, fields, trigger and implementation note in integration data table.
Typical flow looks like this: conversation arrives at AI Inbox, agent evaluates intent, DarhimLabs records summary and confidence score, and connector sends only approved fields to Linear. For outbound write, retry/backoff and delivery log are available, and for inbound read, source freshness is visible.
Implementation notes
Before production launch, perform token test, field mapping test and webhook event test. All errors go to audit log and health check section in integration dashboard.
Recommended rollout sequence:
- Connect Linear in sandbox or test workspace.
- Run read-only sync for Tickets and Customers objects.
- Verify field mapping with business process owner.
- Enable write only for one workflow, e.g. ticket triage.
- After 24 hours check health check, audit log and retry delivery.