Blog — page 16
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 16
How 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.
ReadManaged RevOps vs. RevOps consulting: who owns the work after the strategy?
The deciding question is who owns reliable daily execution after the recommendations are delivered.
ReadCRM hygiene for AI agents: 8 checks before you automate revenue work
When agents can read and write revenue systems, clean CRM data becomes an operational safety control.
ReadSystem of record vs. system of action: where revenue AI agents belong
Keep the CRM as the governed record; use a managed operating layer to coordinate context, action and recovery.
ReadFrom AI agent pilot to production: a 90-day RevOps rollout plan
Narrow the scope, prove context and controls, rehearse exceptions and assign an operator before widening autonomy.
ReadHow to measure revenue AI agents: 12 metrics beyond activity
Measure the chain from eligible work to trustworthy completion, human control, recovery and commercial outcome.
ReadSee how the work gets done.
Explore how agents prepare work across your revenue teams, and how people review it, guide it and decide what happens next. Fictional data. Real product.
Explore the demo