INVOICE PROCESSING

Daily AP aging digest from the Front invoice ledger

On a daily schedule, scans the Airtable invoice ledger for unapproved and past-due invoices, summarizes them with OpenAI.

CategoryInvoice Processing
Enginesim
Difficultybeginner
Triggerschedule
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily morning schedule fires
  • ActionQuery Airtable for unapproved and past-due invoicesAirtableAirtable
  • LogicBucket by overdue, due soon, awaiting approval
  • ActionSummarize prioritized digest with OpenAIOpenAI
  • OutputPost aging digest with record links to SlackSlack

What it does

Gives finance a once-a-day picture of what is stuck. It scans the Airtable ledger built from Front invoices, finds anything unapproved, awaiting payment, or past its due date, then posts a ranked digest to Slack so nothing slips past terms and no early-payment discount is missed.

When to use it

Use it when invoices are landing and getting parsed correctly but follow-through stalls and items quietly go past due. This closes the loop with a daily nudge instead of waiting for a vendor to chase payment.

How it works

  1. 1A scheduled trigger runs each morning before the AP standup.
  2. 2The flow queries Airtable for invoices that are unapproved, approved-but-unpaid, or past due, with their amounts and due dates.
  3. 3A logic step buckets invoices into overdue, due within three days, and awaiting approval, and sorts by amount.
  4. 4OpenAI writes a concise, prioritized digest with totals per bucket and the top items needing action.
  5. 5The digest is posted to the finance Slack channel with deep links back to each Airtable record.

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 SlackChannels, DMs, threads, mentions.
  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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