Following up on the Signal Scout post from last week — here's the second agent in the pipeline: Account Intel. When Signal Scout fires, this agent kicks off deep enrichment on the company + identifies decision-makers. It pulls strategic priorities, tech stack, recent news, and builds personalization profiles so the rep walks into every conversation prepared. Maps enrichment data to custom HubSpot properties so the CRM becomes an actual intelligence platform. Here's the walkthrough: https://www.loom.com/share/59ae4fc303d5421a828b77923b66b7a6 Key design decisions: — Signal Scout only surfaces signals with a clear outreach angle (no noise) — Account Intel runs automatically when a signal fires (no manual trigger) — All intel is logged to HubSpot as structured data, not just notes Three more agents in the pipeline (outreach drafting, engagement monitoring, daily meeting prep). Happy to walk through the architecture if anyone's building something similar.
Thanks, Aaron W.. Good questions. On CRMs, the current build runs on HubSpot, but Lindy also connects to Salesforce, Pipedrive, and a few others natively. The agent logic stays the same, you'd just swap the CRM actions. Regarding the no-CRM scenario, that's actually simpler to set up. The intel output (company research, decision-maker profiles, talking points) can go straight to a Google Sheet, Notion, Airtable, or even just a daily email/Slack digest. The research and enrichment engine doesn't care where the results land. If you've got an audience and want to know more about who they are or surface outreach opportunities from that list, this type of agent works well for that. Happy to chat through what that would look like for your setup if you're interested. https://calendly.com/shilisia00
Extremely helpful, going to dive in a bit deeper and then may just drop you a line!
Aaron W. Sounds good, happy to chat whenever you’re ready.
