FINANCE

Real-Time Spend Spike Alert for Procurement

When a finance system webhook reports a new large invoice, it checks the vendor's spend history in BigQuery and pings procurement in Slack only when the charge is an outlier…

CategoryFinance
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook receives new large invoiceHTTP webhook
  • ActionFetch vendor spend baseline from warehouseGoogle BigQueryBigQuery
  • LogicStop if charge is within normal range
  • ActionExplain why the charge is anomalousOpenAI
  • OutputAlert procurement channel in real timeSlack

What it does

This workflow listens for incoming invoice events. For each new large invoice it pulls that vendor's trailing spend distribution from BigQuery, decides whether the charge is statistically unusual, and alerts procurement in real time only when it is. Routine invoices pass through silently so the channel stays signal-heavy.

When to use it

Use it when you want catch-it-now coverage instead of a weekly batch review. It is ideal for teams where a single surprise invoice can blow a department budget and you want a human eyes-on before the payment cycle closes.

How it works

  1. 1A webhook fires when your AP system posts a new invoice above a dollar floor.
  2. 2BigQuery returns the vendor's recent spend history and computed mean and standard deviation.
  3. 3A logic step compares the new charge to the vendor baseline and stops if it falls within normal range.
  4. 4OpenAI writes a short plain-language explanation of why the charge looks anomalous.
  5. 5Slack posts the alert with the invoice, the baseline, and the explanation to the procurement channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect BigQueryDatasets, queries, schemas.
  3. 3
    Connect OpenAIModels, embeddings, files.
  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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