DATA OPS
Orphaned Dashboard Owner Reassignment Agent
Finds dashboards whose owner has left the org, infers the most active recent viewer as the new candidate owner, and opens a Linear task asking them to confirm ownership.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule starts the reassignment agent
- ActionFind decayed dashboards with missing or deactivated owners in SnowflakeSnowflake
- LogicReason over recent viewers to nominate a new owner
- LogicBranch dashboards with no viewers to a retirement queue
- ActionOpen a Linear task for the nominated owner to confirmLinear
- ActionSet pending-owner flag in Snowflake registrySnowflake
What it does
This agent hunts for dashboards still flagged as decayed but with no valid owner — typically because the original owner offboarded. It reasons over recent Snowflake access patterns to nominate the most engaged remaining viewer, then files a Linear task to transfer ownership.
When to use it
Use this when departures leave dashboards orphaned and the decay sweep keeps surfacing assets nobody will claim. It re-homes them to a live human so retirement decisions don't stall indefinitely.
How it works
- 1A weekly schedule starts the agent.
- 2The agent queries Snowflake for decayed dashboards whose recorded owner is missing or deactivated.
- 3For each, it pulls recent viewer activity and reasons about who most plausibly owns the asset now, weighing view frequency and role.
- 4A branch skips assets with no remaining viewers, routing them straight to a retirement queue.
- 5For the rest, the agent opens a Linear task assigned to the nominated owner, summarizing the dashboard, its idle history, and why they were chosen.
- 6The Snowflake registry is updated with a pending-owner flag.
Set it up
What you configure once, before turning it on.
- 1Connect SnowflakeWarehouses, queries, shares.
- 2Connect LinearIssues, projects, cycles, triage.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Data Ops workflows
BigQuery Per-Team Budget Breach Alert to PagerDuty
Tracks month-to-date BigQuery scheduled-query spend per team and, when a team crosses its monthly budget, pages the team's on-call in PagerDuty and snapshots the spend breakdown…
dbt orphan model detector with Linear cleanup tickets
Scans your dbt manifest for models that no other model, exposure, or BI tool consumes.
Weekly BigQuery Cost Trend Sheet and Exec Digest
Compiles week-over-week BigQuery scheduled-query cost by owner and dataset into a Google Sheet with trend columns.
Backfill Missing Owner Labels on BigQuery Scheduled Queries
Finds scheduled queries with no owner label, infers the likely owner from creator metadata and target-table lineage, proposes a label.
Daily BigQuery Scheduled-Query Cost Attribution to Owners
Each morning, totals the prior day's on-demand bytes-billed per scheduled query, maps each query to its owner from a label, and posts a per-owner cost leaderboard to Slack.
dbt source freshness watcher with severity-routed alerts
Checks Snowflake loaded-at timestamps against each dbt source's freshness SLA, then routes warnings to Slack and hard breaches to a PagerDuty incident so stale data never…
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.