Record SLA breaches in reporting database tables

Whenever a ticket breaches its SLA in Thoughtly, insert an event row in SQL Server to track team compliance metrics over time.

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How Knit builds this workflow

The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.

Thoughtly Explore Thoughtly →

Triggers

New ticket created

Fires when a new support ticket is created in Thoughtly.

Ticket status changed

Fires when a ticket's status changes in Thoughtly.

Ticket assigned

Fires when a ticket in Thoughtly is assigned to an agent.

SLA breached

Fires when a ticket in Thoughtly breaches its response SLA.

Actions

Create ticket

Creates a new ticket in Thoughtly.

Update ticket status

Updates a ticket's status in Thoughtly.

Assign ticket

Assigns a ticket in Thoughtly to an agent.

Add ticket comment

Posts an internal or public comment on a ticket in Thoughtly.

SQL Server Explore SQL Server →

Triggers

New row inserted

Fires when a new row is added to a table in SQL Server.

Row updated

Fires when an existing row changes in SQL Server.

Query result ready

Fires when a scheduled query in SQL Server finishes running.

Actions

Run a query

Runs a SQL query against SQL Server and returns the result.

Insert or update a row

Writes a new or updated row to SQL Server.

Sync a table

Syncs a table in SQL Server with data from another source.

Log new support tickets directly into database tables When a customer submits a new ticket in Thoughtly, instantly insert a record into SQL Server to preserve central activity logs. See details

Update ticket status when backend database state changes When an issue or order status row is updated in SQL Server, automatically adjust the related ticket status in Thoughtly. See details

See all Thoughtly + SQL Server integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Record SLA breaches in reporting database tables” between Thoughtly and SQL Server?

Yes — describe it in the box above and Knit's Integrations Agent researches Thoughtly and SQL Server's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.

How long does it take to build?

Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.

What's the most common Databases & Warehouses + Ticketing automation?

Writing new and updated tickets from Thoughtly into a table in SQL Server continuously, so support metrics stay current without a manual export.

Does this capture custom fields and tags, or just the basics?

The Agent maps whatever custom fields and tags Thoughtly exposes, not just the default ticket schema, into the matching columns in SQL Server.