INVOICE PROCESSING

Detect duplicate or overlapping subscriptions for the same tool

When a new Stripe charge clears, checks Snowflake for other active subscriptions to the same vendor category and opens a Linear task for the owner to review when two overlapping…

CategoryInvoice Processing
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew Stripe charge postedStripeStripe
  • ActionQuery Snowflake for same-vendor active subsSnowflakeSnowflake
  • LogicBranch: overlap found vs none
  • ActionCreate Linear consolidation review issueLinearLinear
  • OutputNotify procurement owner in SlackSlack

What it does

Flags the classic waste pattern where two teams independently pay for the same tool, or a trial converts to paid while an existing seat plan is already running. It catches the second active subscription to a vendor or category at charge time.

When to use it

Use it in larger orgs where departments expense their own software and nobody has a single source of truth. Consolidating duplicate subscriptions is often the fastest SaaS cost win available.

How it works

  1. 1A new Stripe charge event triggers the run with the merchant and amount.
  2. 2Snowflake is queried for other active subscriptions sharing the same vendor or tool category.
  3. 3A logic step decides whether an overlap exists beyond a single expected line.
  4. 4If no overlap, the charge is recorded and the run ends quietly.
  5. 5If an overlap is found, a Linear issue is created for the procurement owner listing both subscriptions, their costs, and the owning teams.
  6. 6A Slack mention notifies the owner that a consolidation review is waiting.

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 LinearIssues, projects, cycles, triage.
  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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