Blog — page 2
Notes on
agentic GTM.
Short arguments about how revenue work is changing — and what it takes to run agents responsibly once it has.
Posts, page 2
AI lead qualification agent vs. chatbot: where the workflow changes
A chatbot manages a conversation. A qualification agent operates an evidence-backed decision and handoff workflow.
ReadHow to turn a campaign brief into content your team can review
The useful output is not a pile of drafts. It is a content package whose audience, purpose, associations and review decisions are visible.
ReadHow to turn a spoken deal update into reviewable CRM work
The goal is not transcription. It is to preserve context, clarify ambiguity and prepare specific work a person can approve.
ReadHow to test lead routing before a flow goes live
The time to find an unclear handoff is before the first real lead enters it—not after sales asks where the record went.
ReadHow to verify the evidence behind an AI analyst answer
A plausible number can still answer a different question from the one your team meant to ask.
ReadHow to find the missing buyer in a deal review
A deal can have several contacts and still be single-threaded where the decision actually happens.
ReadHow to prepare for an account meeting from the CRM record
A useful account plan is a working briefing for the next conversation, not a document created once and admired later.
ReadHow to build a post-pilot re-engagement RevPlay
A pilot ending is a trigger. A repeatable motion needs to say who qualifies, what happens next and where a person decides.
ReadHow to give an AI messaging sequence one clear job
“Follow up” describes a genre. A useful messaging framework tells the agent what outcome each step is supposed to create.
ReadTry the demo.
See agents carry the repeatable work of GTM across sales, marketing, customer success, and RevOps. Every action prepared, reviewed, and recorded. Fictional data, real product.
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