DOCUMENT OPS
Executed Contract Exhibit & Initials Completeness Gate
When a signed contract lands in a Dropbox intake folder, verify every required exhibit, schedule, and initialed page is present.
How it runs
The automated pipeline, trigger to output.
- TriggerNew executed PDF in Dropbox intake folderDropbox
- ActionExtract contract text, exhibits, and signature blocksOpenAI
- LogicCheck all required exhibits, initials, and signatures present
- ActionMove complete contract to deal-room folderDropbox
- OutputPost itemized gap report for incomplete contractsSlack
What it does
Watches a Dropbox intake folder for newly executed agreements. For each new file it extracts the document text, checks that every required exhibit and schedule referenced in the contract is actually attached, confirms initial blocks on each required page are filled, and verifies all signature blocks are signed. Complete contracts move automatically to the deal room; incomplete ones never get filed and instead trigger a precise gap report.
When to use it
Use it when your team closes deals by collecting countersigned PDFs and you keep filing documents that are missing Exhibit B, an unsigned page, or a missing initial. It removes the manual page-by-page audit before a contract is considered "in good order."
How it works
- 1A new PDF arriving in the Dropbox `/intake/executed` folder triggers the run.
- 2The contract text and embedded annotations are extracted via the OpenAI document reader.
- 3The agent cross-references the contract's exhibit list against attached pages and checks every initial and signature block.
- 4A branch decides complete vs. incomplete.
- 5Complete contracts are moved to the Dropbox deal-room folder.
- 6Incomplete contracts post an itemized gap list (which exhibit, which page, which signer) to the deal team's Slack channel.
Set it up
What you configure once, before turning it on.
- 1Connect DropboxFiles and folders.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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