INVOICE PROCESSING

Route OCR'd invoices for approval by spend threshold

Extracts the total from each emailed invoice and routes it down a tiered approval path — auto-approve under a floor, manager sign-off in mid range, controller sign-off above a cap.

CategoryInvoice Processing
Enginesim
Difficultybeginner
Triggerevent
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew invoice emailGmailGmail
  • ActionOCR total, vendor, cost centerOpenAI
  • LogicSelect approval tier by amount threshold
  • ActionRequest sign-off from tier approverSlack
  • OutputLog tier and decision to audit ledgerPostgreSQLPostgres

What it does

Applies your approval matrix automatically. After OCR reads the invoice total and cost center, the flow picks the right approval tier and requests sign-off from the correct person, then records the outcome. Small invoices clear without human touch; larger ones escalate to the right authority.

When to use it

Use this when approval authority depends on dollar amount and you want consistent, auditable routing instead of forwarding emails around. Ideal for teams with a written delegation-of-authority policy.

How it works

  1. 1A new invoice email triggers the run.
  2. 2OCR extracts the invoice total, vendor, and cost center.
  3. 3A threshold check selects the tier: auto, manager, or controller.
  4. 4Below the floor, the invoice is written as approved immediately.
  5. 5For mid and high tiers, an approval request with the invoice summary is posted to the approver's Slack channel.
  6. 6The chosen tier and the resulting decision are logged to Postgres for the audit trail.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GmailRead, draft, send, label.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Connect PostgresAny Postgres URL — query, write, migrate.
  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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