AI AGENTS

RFP Inbox Go/No-Go Pre-Screener

Watches a shared inbox for inbound RFPs and solicitations, scores each one against your org capability profile.

CategoryAI Agents
Enginepaperclip
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew RFP email arrives in shared inboxGmailGmail
  • ActionExtract opportunity details and requirementsOpenAI
  • ActionScore requirements against capability profileOpenAI
  • LogicHard disqualifier present? Force no-go
  • ActionDraft one-page go/no-go memoOpenAI
  • OutputPost memo to capture team Slack channelSlack

What it does

This workflow turns a flooded business-development inbox into a triaged decision queue. Every inbound RFP or solicitation email is read, summarized, and scored against your saved capability profile (NAICS codes, certifications, past performance, geography, contract-size band). It returns a structured go/no-go memo so a capture lead spends time only on opportunities you can actually win.

When to use it

Use it when your team receives more solicitations than a human can read carefully, and weak-fit bids are quietly draining proposal hours. Best for agencies, GovCon shops, and services firms with a clear, stable set of eligibility constraints.

How it works

  1. 1A new email lands in the monitored Gmail inbox and triggers the run.
  2. 2The agent extracts the opportunity details — issuer, due date, scope, mandatory requirements, set-aside type.
  3. 3It loads your capability profile and asks the model to compare requirements against capabilities, flagging each as met, gap, or disqualifier.
  4. 4A logic gate routes the result: any hard disqualifier forces a no-go; otherwise it computes a fit score.
  5. 5The agent drafts a one-page memo with the recommendation, top three reasons, and open risks.
  6. 6The memo is posted to the capture team's Slack channel with the original email linked.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GmailRead, draft, send, label.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  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.