agent hive

CHATBOTS

Enrich and rank chat leads before they reach sales

For each chat-captured email, it pulls company details from a web enrichment lookup, computes a fit-plus-intent priority score with an LLM, writes the ranked lead to Airtable.

CategoryChatbots
Enginesim
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerChat lead captured with emailHTTP webhook
  • ActionEnrich lead with company dataExa
  • ActionScore fit and intent, assign tierOpenAI
  • ActionWrite ranked lead to Airtable pipelineAirtableAirtable
  • LogicLead is A-tier?
  • OutputEscalate top leads to sales channelSlack

What it does

Adds a research step between "visitor left an email" and "sales gets notified." The workflow enriches each lead with public company data, combines that fit signal with the conversation's intent signal into a single priority score, and stores every lead in a sortable Airtable pipeline — escalating only the top tier so reps focus on the best opportunities.

When to use it

Chat is generating leads faster than your team can vet them, and reps waste time on poor-fit companies. Use this to auto-research and rank inbound leads so the sales channel only lights up for genuinely good prospects.

How it works

  1. 1A chat lead capture posts the visitor's email and transcript to the webhook.
  2. 2A web search enriches the lead with company size, industry, and recent signals.
  3. 3OpenAI scores fit and intent together and assigns an A/B/C priority tier.
  4. 4Every lead is written to an Airtable pipeline table with its score and enrichment data.
  5. 5A logic branch escalates only A-tier leads, posting them to the sales Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect ExaNeural search across the web.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect AirtableBases, tables, views, automations.
  5. 5
    Connect SlackChannels, DMs, threads, mentions.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    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.