FINANCE

Rightsize a SaaS renewal from BigQuery utilization

When a renewal date approaches, an agent pulls the app's 90-day utilization from BigQuery, calculates the seat count actually used.

CategoryFinance
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSchedule fires 30 days before renewal
  • ActionQuery 90-day seat utilization in BigQueryGoogle BigQueryBigQuery
  • LogicCompute defensible seat count with headroom
  • ActionDraft rightsizing recommendation
  • OutputCreate ClickUp task for contract ownerClickUpClickUp

What it does

Ahead of each contract renewal, this agent investigates how many seats a SaaS app actually needed over the trailing 90 days, compares it to the contracted seat count, and produces a rightsizing recommendation. It then opens a ClickUp task for the renewal owner with the suggested new seat count and projected savings.

When to use it

Use this when renewals quietly auto-renew at last year's inflated seat count. Catching over-provisioning before signing is where the largest license savings live, and the agent does the utilization analysis you would otherwise rush the week before renewal.

How it works

  1. 1A calendar-derived schedule fires 30 days before a tracked renewal.
  2. 2The agent queries BigQuery for the app's peak and median active seats over 90 days.
  3. 3It reasons over usage variance to recommend a defensible seat count, leaving headroom for spikes.
  4. 4It drafts a rightsizing summary with current vs. recommended seats and dollar impact.
  5. 5A ClickUp task is created for the contract owner with the recommendation attached.

Set it up

What you configure once, before turning it on.

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

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