AI AGENTS

Answer Portal-Submitted RFP Questions via Webhook with Citations

A webhook from your RFP portal sends each new question to an agent that drafts a cited answer from the knowledge library and posts it to the team's Notion response workspace.

CategoryAI Agents
EngineSim + Paperclip
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerRFP portal fires new-question webhookHTTP webhook
  • LogicValidate payload and extract question
  • ActionSearch Confluence answer libraryConfluenceConfluence
  • ActionDraft cited answer via OpenAIOpenAI
  • OutputAppend question and cited draft to Notion pageNotionNotion

What it does

Connects a third-party RFP or procurement portal to your answer library through a webhook. As questions are added in the portal, each one is sent to the agent, which drafts a cited answer from your curated Confluence library and writes it into a structured Notion page the proposal team uses to assemble the final submission.

When to use it

Use it when buyers route RFPs through a portal that can fire webhooks, and your proposal team drafts in Notion. It bridges the portal and your knowledge base without manual re-keying of questions.

How it works

  1. 1The RFP portal posts a new-question webhook that triggers the run.
  2. 2The agent validates the payload and extracts the question and metadata.
  3. 3It searches the Confluence answer library for matching approved content.
  4. 4A confidence check routes weak matches to a 'draft needed' state instead of a fabricated answer.
  5. 5OpenAI drafts the answer grounded in retrieved passages with inline citations.
  6. 6The agent appends the question, draft, and citations as a block in the team's Notion response page.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect ConfluenceSpaces, pages, blueprints.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect NotionPages, databases, comments.
  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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