INVOICE PROCESSING

Pre-Payment-Run Cadence Reconciliation Report

Before each scheduled payment run, builds a reconciliation report comparing every recurring vendor's expected invoice to what actually arrived.

CategoryInvoice Processing
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSchedule fires before the payment run
  • ActionPull expected and received invoices from PostgresPostgreSQLPostgres
  • LogicBucket vendors into on-time, missing, early, mismatch
  • ActionDraft exception-focused summary with OpenAIOpenAI
  • OutputPost reconciliation report to AP Teams channelMicrosoft Teams

What it does

Runs ahead of your payment batch and produces a single reconciliation view of the recurring-vendor book: which expected invoices arrived on time, which are missing, and which came in early or off-amount. The result is a structured Teams summary AP can review and approve before releasing the run, replacing a manual spreadsheet check.

When to use it

Use it the day before a scheduled payment run when you need one trustworthy snapshot of recurring-invoice health across all vendors, rather than chasing each one individually.

How it works

  1. 1A schedule fires a fixed lead time before the payment run.
  2. 2Pull expected recurring invoices and received invoices from Postgres.
  3. 3Reconcile each vendor into on-time, missing, early, or amount-mismatch buckets.
  4. 4OpenAI drafts a concise, sectioned reconciliation summary highlighting only the exceptions.
  5. 5Post the report to the AP Microsoft Teams channel for review and sign-off.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect Microsoft TeamsChannels, chats, files.
  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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