INVOICE PROCESSING

Quarterly Recurring-Spend True-Up Auditor

Each quarter, an agent aggregates all recurring vendor payments from Snowflake, compares the trailing run-rate to contracted annual values.

CategoryInvoice Processing
EngineSim + Paperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerQuarterly schedule fires
  • ActionAggregate recurring payments in SnowflakeSnowflakeSnowflake
  • LogicCompare run-rate to contracted annual
  • ActionAgent drafts narrative true-up report
  • ActionPublish report to NotionNotionNotion
  • OutputPost top-drift summary to SlackSlack

What it does

Produces a quarterly true-up: it totals what you actually paid each recurring vendor over the trailing period from your Snowflake finance warehouse, compares that run-rate to the contracted annual commitment, and identifies vendors trending over or under budget. An agent writes a readable narrative report - which vendors drifted, by how much, and the likely cause - publishes it as a Notion page, and posts a short summary with the top drifts to Slack.

When to use it

Use it at quarter-end when finance needs a defensible spend-versus-contract review across the whole vendor book, not just exception alerts. Ideal when the warehouse already holds clean payment data and you want a synthesized document rather than raw numbers.

How it works

  1. 1A quarterly schedule starts the audit.
  2. 2The flow queries Snowflake for trailing recurring payments grouped by vendor.
  3. 3A logic step compares each run-rate against the contracted annual value.
  4. 4The agent drafts a narrative true-up explaining each material drift.
  5. 5The report publishes to Notion and a top-drift summary posts to Slack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SnowflakeWarehouses, queries, shares.
  2. 2
    Connect NotionPages, databases, comments.
  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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