Rasmus K.

thanks for pinging, noticed this only now. Nikhat I. exactly, trust is earned incrementally. we start with “here’s what you should know” and only graduate to “here’s what I did” once the system has proven it reads the situation/data correctly Gururaj P. to add to Nikhat’s example: same logic applies post-signup: a user connects their tools, starts exploring, invites a teammate. that’s a buying signal, not just a product event. the “system” should detect that pattern, surface it to the team with context (“signed up 2 days ago, connected 3 integrations, matches ICP”), and draft a personalized outreach/followup, not a generic “how’s it going?” drip email. where it gets interesting is when the system learns which signals actually convert. not every integration connect means intent, but an integration connect + a second session within 24h + matching your best-customer profile? that’s when the system should act, not wait for a human to notice in a dashboard

I’m currently building close to this at 3 early-stage companies. we start with setting up the “analyze -> decide” to the point where the system is trustworthy enough to let it “act/execute” semi-automatically. probably easier at the early-stage vs larger orgs but main benefit so far is the continuous prioritization and understanding on what should be moved & worked on, thanks to the real-time understanding of customer journeys

thank you Chris! sort of yes, but instead of having to switch over to a new CRM, it works on the one (+ other tools) you’re already using. currently in alpha so here looking for connections & learnings!