AI AGENTS

On-Demand RFP Eligibility Second Opinion

A chat-triggered agent that takes a pasted opportunity or a link, reads it, checks it against your capability profile.

CategoryAI Agents
Enginepaperclip
Difficultybeginner
Triggerchat
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerChat message with opportunity text or link
  • ActionFetch and read linked page if a URL givenFirecrawl
  • ActionExtract requirements and compare to profileOpenAI
  • LogicForm recommendation and confidence level
  • OutputReply with go/no-go memo and stay for Q&AOpenAI

What it does

This workflow is an on-demand sounding board for a capture lead deciding whether to pursue an opportunity. You paste an RFP summary, requirements list, or a public link into chat, and the agent reads it, weighs it against your capability profile, and returns a go/no-go memo. Because it is conversational, you can push back, ask about a specific requirement, or test an assumption before anyone writes a word of proposal.

When to use it

Use it for the judgment-call opportunities that don't fit a rule, when you want a fast, defensible second opinion rather than an automated verdict. Best right before a bid/no-bid meeting.

How it works

  1. 1A chat message with the opportunity text or link triggers the agent.
  2. 2If a link is provided, the agent fetches and reads the page content.
  3. 3It extracts mandatory requirements, set-aside conditions, and the deadline.
  4. 4It compares them to your capability profile and reasons through fit, gaps, and disqualifiers.
  5. 5A logic step forms the recommendation and confidence level.
  6. 6The agent replies in chat with a go/no-go memo, then stays available for follow-up questions and to revise the call.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FirecrawlCrawl, scrape, structured extract.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    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.