IT OPS
Weekly Shadow-IT Posture Report for Leadership
Aggregates the week's shadow-IT findings and review outcomes from Snowflake and Linear into a single rollup with trends.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly report schedule
- ActionTotal weekly findings and spendSnowflake
- ActionPull intake ticket outcomesLinear
- ActionSynthesize narrative and trendsOpenAI
- ActionPublish report to NotionNotion
- OutputPost highlights to leadership SlackSlack
What it does
Rolls up everything the detection pipeline found and the security team decided this week — new tools discovered, total unsanctioned spend, items sanctioned, blocked, or still open — into one readable posture report so leadership sees the shadow-IT trend without digging through tickets.
When to use it
Run it every Friday when you want a recurring executive view of shadow-IT exposure and the security team's throughput, sourced automatically instead of hand-assembled.
How it works
- 1A weekly schedule triggers the report build.
- 2A Snowflake query totals new findings and unsanctioned SaaS spend for the week; a Linear query pulls intake-ticket statuses and resolutions.
- 3An OpenAI step synthesizes the numbers into a narrative with week-over-week trend and top risks.
- 4A Notion action publishes the formatted report to the IT posture page.
- 5A Slack message posts the headline metrics and the report link to the leadership channel.
Set it up
What you configure once, before turning it on.
- 1Connect SnowflakeWarehouses, queries, shares.
- 2Connect LinearIssues, projects, cycles, triage.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect NotionPages, databases, comments.
- 5Connect SlackChannels, DMs, threads, mentions.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More IT Ops workflows
Recurring Sensor Fault Root-Cause Investigator
On a schedule, an agent reviews recent Monday work orders and BigQuery telemetry to identify equipment with repeating faults, drafts a root-cause hypothesis with a recommended fix.
Daily Building Anomaly Digest to MS Teams
Each morning queries BigQuery for the prior day's flagged sensor anomalies, summarizes them by site and system into a ranked briefing.
Agentic Inactive-Seat Reclamation Review
An agent investigates each idle SaaS seat by correlating SSO login gaps with HR status and ticket history, classifies it as reclaim, hold, or escalate, and drafts a reasoned…
Reconcile SSO logins against expense spend to find unmanaged tools
Joins SSO usage data with expense/payment records in Snowflake to surface tools that are being used but not paid for, or paid for but never logged.
Approved-Seat Deprovision Execution
Fires when an IT approver confirms a seat for removal, then executes deprovisioning via the IdP API and logs the action to an audit table and a Linear cleanup ticket.
HVAC Anomaly Detection to Severity-Routed Work Orders
Ingests building HVAC telemetry via webhook, flags out-of-band temperature, pressure, or runtime readings.

Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.
