Automate outbound prospecting and reply handling
They used a multi-agent setup in Grok Bot to find leads, research them, send outreach, and manage follow-up.
- What they did
- They installed an open-source Sales OS inside Grok Bot and connected it to the GojiberryAI MCP. Different agents took on separate jobs: one found prospects with buying signals, another checked fit, others researched accounts, enriched leads, scored intent, wrote LinkedIn messages, and handled outreach. After that, more agents sorted replies, followed up, qualified meetings, and tracked the pipeline while a sales manager agent coordinated the handoffs.
- How it went
- The system could run prospecting, outreach, and qualification from end to end without manual steps after setup. No conversion figures or campaign results were provided.
- Tips
- Keep each agent role narrow so handoffs stay clear. Build in a review step before any message is sent or campaign is launched.
Try it yourself with Grok Bot
Set up a sales workflow in [Grok Bot or similar agent platform] for [my business]. Use specialized agents to find prospects who show [buying signals], check whether they match [ideal customer profile], research each account, enrich contact details, score intent, draft a personalized outreach message, and prepare a contact list. Stop before sending anything, and show me the prospects and message drafts for approval. After I approve, send the outreach, then sort incoming replies, suggest follow-ups, qualify meeting requests, and keep a simple pipeline view. If any step would send a message, submit a form, delete data, or make a payment, pause and ask first.
Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.
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