Blog — page 5
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 5
Revenue AI agents vs. automation: what to use where
Choose the operating model by ambiguity, data access, action risk, reversibility and required human judgment—not by hype.
ReadWhat is RevTech? A practical guide to AI-native GTM
RevTech is the managed operating model that connects GTM context, governed agents and human decisions—not another point-tool category.
ReadAI for RevOps: 12 workflows that move pipeline
Twelve concrete workflows where fully managed agents carry recurring operations work and people keep the approvals.
ReadHow to build a pipeline report that drives weekly action
A pipeline report should not end with a number. Every signal needs a decision, an accountable owner and a next action.
ReadThe RevOps tech stack in 2026: from tools to AI agents
The modern RevOps stack connects systems of record to fully managed agents through shared context, approvals and governance.
ReadRevTech is now in public beta
The whole platform is open, every agent included. Signup runs through our team with guided onboarding.
ReadCapacity was always the constraint
Revenue plans are bounded by hours, not ambition. What changes when the repeatable work stops competing for them.
ReadAdopting AI is not a strategy
Most GTM teams have adopted AI and changed nothing about how work gets done. Adoption and operating-model change are different projects.
ReadGovern agents before you scale them
Permissions, approval thresholds, and audit are not brakes on agentic work. They are what makes widening it defensible.
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.
Explore the demo