INVOICE PROCESSING

Cash-Flow-Aware Discount Payment Advisor (Agent: Stripe + Postgres + Outlook)

An agent that reviews invoices with expiring discounts against current cash position, decides which discounts are worth capturing now.

CategoryInvoice Processing
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule
  • ActionRead invoices with closing discount windowsPostgreSQLPostgres
  • ActionCheck live cash position via StripeStripeStripe
  • LogicReason yield vs cash ceiling, select captures
  • OutputEmail prioritized pay-now list via OutlookOutlook

What it does

This agent-driven workflow weighs each expiring early-payment discount against available cash. It pulls upcoming invoices with closing discount windows from Postgres, checks the current cash position via Stripe balance and recent activity, and reasons about which discounts deliver the best risk-adjusted return without overcommitting cash. It then emails AP a prioritized pay-now list with a short rationale per invoice.

When to use it

Use it when capturing every discount blindly would strain cash, and you need judgment about which ones are actually worth paying early this cycle. Ideal for teams balancing working capital against discount yield.

How it works

  1. 1A daily schedule fires.
  2. 2The agent reads invoices with discount windows closing soon from Postgres.
  3. 3It checks the live cash position and recent inflows via Stripe.
  4. 4It reasons about effective annualized yield per discount versus cash available, then selects which to capture within a cash ceiling.
  5. 5It composes and sends a prioritized pay-now recommendation email via Outlook with per-invoice rationale.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect StripeCustomers, subscriptions, payments.
  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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