IT OPS

Flag Redundant SaaS Spend Across Departments

Joins Stripe subscription data with the SaaS category catalog in Snowflake to find multiple teams paying for tools in the same category.

CategoryIT Ops
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonthly schedule
  • ActionPull active subscriptions from StripeStripeStripe
  • ActionJoin with category catalogSnowflakeSnowflake
  • LogicFind categories with 2+ vendors, rank by spend
  • ActionCreate consolidation opportunitymonday.com
  • OutputPost top opportunities to IT channelSlack

What it does

Looks across all recurring SaaS spend and groups it by functional category, then finds categories where more than one distinct vendor is being paid for by different departments. For each overlap it estimates annualized duplicate spend and opens a consolidation opportunity so IT can standardize on one tool.

When to use it

Run this monthly or ahead of budget planning when you suspect teams are independently buying overlapping tools. It is the cost-optimization companion to discovery: not every shadow tool is a risk, but duplicate categories are almost always waste.

How it works

  1. 1A monthly schedule triggers the run.
  2. 2An action pulls active subscriptions and amounts from Stripe.
  3. 3An action joins them against the category catalog in Snowflake to tag each vendor's function.
  4. 4A logic step identifies categories with two or more distinct vendors across departments and ranks by total spend.
  5. 5An action creates a consolidation opportunity in Monday with the overlapping vendors and estimated savings.
  6. 6A final output posts the top opportunities to the IT-ops Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect StripeCustomers, subscriptions, payments.
  2. 2
    Connect SnowflakeWarehouses, queries, shares.
  3. 3
    Connect monday.comVisual work management for teams.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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