INVOICE PROCESSING

Validate invoices against the Snowflake spend warehouse before release

On each approval request, queries the enterprise Snowflake spend warehouse across all subsidiaries for matching paid invoices.

CategoryInvoice Processing
Enginesim
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerApproval-pending webhook from AP systemHTTP webhook
  • ActionRead invoice fingerprint fields from payload
  • ActionQuery Snowflake spend warehouse across all entitiesSnowflakeSnowflake
  • LogicBranch on cross-entity duplicate hit
  • OutputHold and notify controller in MS TeamsMicrosoft Teams

What it does

Large orgs pay the same invoice twice across different entities, ERPs, or business units. This workflow checks every approval-bound invoice against the consolidated Snowflake spend warehouse, which aggregates payments from all subsidiaries. If the invoice fingerprint already appears paid anywhere in the enterprise, the release is blocked and the controller is notified.

When to use it

Use it when payments are decentralized but reporting is centralized in Snowflake. It's the enterprise-grade backstop for multi-entity AP, where one vendor invoices several of your subsidiaries and a duplicate slips between systems.

How it works

  1. 1An approval-pending event fires via webhook from your AP system.
  2. 2The invoice's fingerprint fields are read from the payload.
  3. 3Snowflake is queried across all entity spend tables for a fingerprint or vendor+amount+number match.
  4. 4A logic branch separates a cross-entity hit from a clean invoice.
  5. 5Confirmed duplicates are held and an alert with the paying entity goes to the controller in MS Teams.
  6. 6Clean invoices return an approved-to-release response to the AP system.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect SnowflakeWarehouses, queries, shares.
  3. 3
    Connect Microsoft TeamsChannels, chats, files.
  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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