INVOICE PROCESSING

Send a daily digest of unmatched Dropbox invoices to AP

Runs on a schedule, scans all invoices processed that day, and emails the AP team a single digest of every invoice whose line items failed PO validation, sorted by dollar impact.

CategoryInvoice Processing
Enginesim
Difficultybeginner
Triggerschedule
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires
  • ActionQuery Needs Review invoices in AirtableAirtableAirtable
  • LogicSort by variance, count total exposure
  • ActionFormat scannable digest with OpenAIOpenAI
  • OutputEmail digest to AP via OutlookOutlook

What it does

Instead of pinging AP on every exception, this workflow batches them. Once a day it reviews all invoices logged in the Airtable tracker, finds the ones flagged as line-item mismatches against their POs, ranks them by the size of the variance, and sends one consolidated digest email so the team can clear exceptions in a single sitting.

When to use it

Use it when real-time alerts create noise and your AP team prefers to batch-review exceptions at a set time. Good for steady, predictable invoice volume where nothing needs same-minute attention but nothing should slip through either.

How it works

  1. 1A daily schedule trigger fires at your chosen time (e.g. 8am).
  2. 2The flow queries Airtable for invoices marked Needs Review since the last run.
  3. 3A logic step sorts them by total variance amount and counts the exposure.
  4. 4OpenAI formats the list into a scannable digest with one line per invoice.
  5. 5Outlook sends the digest to the AP distribution list; if there are zero exceptions, it sends an all-clear note instead.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect OutlookMail, calendar, contacts.
  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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