IT OPS

SaaS Spend Anomaly to License Rightsizing Review

Watches monthly SaaS invoices in your billing data, detects seat-count or spend spikes per vendor.

CategoryIT Ops
Enginesim
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonthly schedule triggers post-billing review
  • ActionRead current vs prior invoice and seat data in BigQueryGoogle BigQueryBigQuery
  • LogicFlag vendors exceeding spend/seat anomaly threshold
  • ActionCreate rightsizing review on Monday for budget ownermonday.com
  • OutputEmail budget owner a digest of flagged vendorsGmailGmail

What it does

This workflow watches your SaaS billing records each month, compares vendor spend and seat counts against the prior period, and when a vendor jumps past your anomaly threshold it assembles the list of underused seats driving the cost and opens a rightsizing review item for the budget owner to approve cuts.

When to use it

Use it when finance and IT want spend governance, not just seat hygiene: catching the vendor that quietly doubled its seat count or the auto-renew that bumped per-seat pricing, and forcing a deliberate rightsizing decision before the next invoice.

How it works

  1. 1A monthly schedule triggers the review after billing close.
  2. 2Read current and prior-period invoice and seat data from BigQuery.
  3. 3Branch: flag vendors whose spend or seat growth exceeds the anomaly threshold.
  4. 4For each flagged vendor, compile the underused-seat list and projected savings.
  5. 5Create a rightsizing review item on the Monday board assigned to the budget owner.
  6. 6Email the budget owner a digest of all flagged vendors with the review links.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BigQueryDatasets, queries, schemas.
  2. 2
    Connect monday.comVisual work management for teams.
  3. 3
    Connect GmailRead, draft, send, label.
  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.

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