DOCUMENT OPS

Auto-renew clause watcher with Postgres register and Slack alerts

Runs daily over a Postgres contract register, computes each agreement's auto-renew notice deadline.

CategoryDocument Ops
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule
  • ActionQuery active auto-renew contracts from Postgres registerPostgreSQLPostgres
  • LogicCompute notice deadline and keep contracts inside the warning window
  • ActionDraft per-contract action summary with OpenAIOpenAI
  • OutputPost grouped renewal-deadline digest to SlackSlack

What it does

Scans your structured contract register every morning and surfaces agreements whose auto-renew notice window is approaching. It calculates the last date to give notice from the effective date plus the term and notice period, then warns the responsible owner before the silent renewal locks in.

When to use it

Use it once contracts are already in a Postgres register and the risk you care about is missing the opt-out window on auto-renewing agreements. Ideal for finance and vendor-management teams trimming spend on contracts that renew automatically.

How it works

  1. 1A daily schedule starts the run.
  2. 2The workflow queries Postgres for active contracts with an auto-renew clause and a future renewal date.
  3. 3For each row it computes the notice deadline (renewal date minus the required notice days).
  4. 4A branch keeps only contracts whose deadline falls inside the configured warning window (for example, 45 days out).
  5. 5OpenAI drafts a short, human-readable summary per contract: counterparty, value, deadline, and what action is needed.
  6. 6A digest is posted to the owning team's Slack channel, grouped by deadline urgency.

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 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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