AI AGENTS

Bulk-Fill an RFP Questionnaire Spreadsheet with Cited Drafts

On upload of an RFP questionnaire spreadsheet to Google Drive, an agent answers each question row from your knowledge library and writes cited drafts plus a confidence flag back…

CategoryAI Agents
Enginesim
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerRFP questionnaire spreadsheet uploaded to DriveGoogle DriveGoogle Drive
  • ActionRead each question row from the sheetGoogle DriveGoogle Drive
  • ActionSearch Confluence answer library per questionConfluenceConfluence
  • ActionDraft per-row answer with confidence via OpenAIOpenAI
  • LogicFlag low-confidence rows for human review
  • OutputWrite drafts, citations, and flags back to sheetGoogle DriveGoogle Drive

What it does

Processes an entire RFP or vendor-security questionnaire at once. When a new spreadsheet lands in a watched Google Drive folder, the agent reads every question row, drafts an answer for each from your curated Confluence library, and writes the draft, the source citation, and a confidence flag back into adjacent columns so a reviewer can clear the easy ones and focus on the gaps.

When to use it

Use it for the classic 200-row vendor questionnaire that arrives as a spreadsheet. It removes the copy-paste grind and gives reviewers a triaged sheet where low-confidence rows are flagged for a human.

How it works

  1. 1A new spreadsheet in the watched Google Drive RFP folder triggers the run.
  2. 2The agent reads each question row from the sheet.
  3. 3For every question it searches the Confluence answer library for matching approved content.
  4. 4OpenAI drafts an answer per row grounded in the retrieved passages and assigns a confidence score.
  5. 5A confidence check marks rows below threshold as needs-review.
  6. 6The agent writes drafts, citations, and review flags back into the spreadsheet in Drive.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Google DriveDocs, sheets, slides, files.
  2. 2
    Connect ConfluenceSpaces, pages, blueprints.
  3. 3
    Connect OpenAIModels, embeddings, files.
  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.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.