INVOICE PROCESSING

Autonomous Invoice Mismatch Investigator

An agent picks up each flagged invoice mismatch, gathers the PO, receipt, and vendor history, reasons about the likely cause, drafts a resolution recommendation.

CategoryInvoice Processing
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps4
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew mismatch record created in PostgresPostgreSQLPostgres
  • ActionGather PO, receipt, and vendor invoice historyPostgreSQLPostgres
  • LogicReason about likely cause and recommended action
  • OutputPost case and recommendation to buyer in SlackSlack

What it does

Goes beyond flagging. For every invoice that fails the three-way match, an agent investigates: it reads the PO, the goods receipt, prior invoices from the same vendor, and any partial-delivery notes, then forms a hypothesis (partial shipment, price increase, duplicate, data-entry slip) and writes a plain-English recommendation for the buyer.

When to use it

Use it when raw mismatch alerts create too much investigation work and you want the agent to do the legwork so buyers approve, dispute, or correct in seconds instead of digging through systems.

How it works

  1. 1A new mismatch record in Postgres triggers the agent.
  2. 2The agent gathers context: PO, goods receipt, and the vendor's recent invoice history from Postgres.
  3. 3It reasons over the variance to classify the most likely cause and confidence.
  4. 4It drafts a recommendation (approve with note, short-pay, dispute, or request credit).
  5. 5It posts the case and recommended action to the buyer in Slack with approve/dispute buttons.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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