INVOICE PROCESSING

Invoice Match Exceptions with Slack Approval and Tiered Escalation

Detects three-way match exceptions and posts them to Slack with approve/reject buttons, escalating to a finance manager channel when the variance exceeds a dollar threshold.

CategoryInvoice Processing
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled scan for invoices awaiting match
  • ActionLoad PO + receipt and compute variancePostgreSQLPostgres
  • LogicDrop clean matches; keep exceptions
  • LogicRoute by dollar threshold (clerk vs. manager)
  • ActionPost approve/reject message to SlackSlack
  • OutputWrite approval decision back to PostgresPostgreSQLPostgres

What it does

Turns invoice-match exceptions into actionable Slack approvals. Small variances go to the AP clerk channel with one-click approve or reject; large-dollar variances skip straight to the finance manager channel for sign-off. Decisions write back so nothing sits unresolved.

When to use it

Use this when speed matters and your reviewers live in Slack. It removes the back-and-forth of asking 'who approves this?' by routing on variance size automatically.

How it works

  1. 1A scheduled run scans the open-invoice table in Postgres for items needing match review.
  2. 2For each, it loads the linked PO and receipt and computes the variance.
  3. 3Clean matches are auto-cleared; only exceptions continue.
  4. 4A logic branch routes by dollar impact: under the threshold goes to the AP channel, over it escalates to the finance manager channel.
  5. 5An interactive Slack message posts the variance summary with approve and reject actions.
  6. 6The reviewer's decision is recorded back to Postgres with the approver name and timestamp.

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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