AI AGENTS

Export the completed compliance matrix to a submission doc

On demand, validates that every requirement in an Airtable matrix is answered and approved.

CategoryAI Agents
EngineSim + Paperclip
Difficultyintermediate
Triggermanual
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerManually request matrix export
  • ActionRead all rows from Airtable matrixAirtableAirtable
  • LogicGate on unanswered or unapproved rows
  • ActionAssemble formatted matrix text with OpenAIOpenAI
  • ActionCreate submission document in Google DriveGoogle DriveGoogle Drive
  • OutputPost document link to Slack for sign-offSlack

What it does

Turns a finished Airtable compliance matrix into a polished, submission-ready document. Before exporting, it verifies every requirement has an approved response and an owner; if any rows are incomplete it stops and reports them instead of producing a half-finished deliverable. Once the matrix passes, it generates a formatted compliance document in Google Drive and shares the link.

When to use it

Use it at the end of an RFP cycle when responses are written and approved and you need a clean, consistently formatted matrix to attach to the bid. It eliminates manual copy-paste and the risk of submitting with blank rows.

How it works

  1. 1Triggered manually when the team believes the matrix is complete.
  2. 2All rows are read from the Airtable matrix.
  3. 3A logic step checks for any unanswered or unapproved requirements.
  4. 4If gaps exist, a Slack message lists exactly which rows block submission and the run stops.
  5. 5If clean, OpenAI assembles the formatted matrix text and a Google Drive document is created.
  6. 6The shareable document link is posted to Slack for final sign-off.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect Google DriveDocs, sheets, slides, files.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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