FINANCE

Quarterly SaaS Spend Anomaly Board Report

Each quarter, analyzes the full SaaS spend dataset in BigQuery for outliers and trend breaks, drafts a narrative board-ready summary of where money moved and why.

CategoryFinance
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerQuarterly schedule
  • ActionPull four quarters of spend from BigQueryGoogle BigQueryBigQuery
  • LogicDetect anomalies, movers, new and dropped vendors
  • ActionDraft board-ready spend narrative
  • ActionPublish report as a Notion pageNotionNotion
  • OutputNotify finance channel in SlackSlack

What it does

On a quarterly cadence, pulls the complete SaaS subscription spend history from BigQuery, statistically flags anomalies and trend breaks per vendor and category, and has an agent write a board-ready narrative explaining the biggest movers, new spend, and eliminated tools. The finished report is published as a Notion page for finance to review and circulate.

When to use it

When leadership wants a quarterly story about SaaS spend, not just a raw table, and finance shouldn't have to hand-write the same anomaly walkthrough every quarter. Use it to turn the warehouse data into a reviewable narrative automatically.

How it works

  1. 1A quarterly schedule starts the report run.
  2. 2BigQuery returns the trailing four quarters of SaaS spend by vendor and category.
  3. 3A logic step detects anomalies, biggest increases, new vendors, and dropped tools.
  4. 4The agent drafts a board-ready narrative explaining each notable movement.
  5. 5The report is published as a structured Notion page.
  6. 6A Slack note tells the finance channel the quarterly report is ready to review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BigQueryDatasets, queries, schemas.
  2. 2
    Connect NotionPages, databases, comments.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.