6 terms, defined the way we use them. A GTM system can only score, route, and act on a signal consistently when every tool and every team uses the same definitions.
Revenue that was available to a company and lost to internal friction instead of competitors or market conditions. Leak concentrates at handoffs: leads never contacted, MQLs rejected at the sales boundary, content never used, signals never routed, cycles extended by mistrust.
Full entry →The system underneath a company's pipeline: CRM objects and definitions, lifecycle stages, routing rules, dashboards, automation, and the cadence that keeps them agreeing. The operating layer determines whether the same effort compounds or resets every quarter. It is also what AI agents inherit: an agent can only be as trustworthy as the layer it reads.
Full entry →The path a buying signal travels from the moment it exists to the moment someone or something acts on it. Intent data, product usage, engagement, and competitive movement arrive in real time; in most systems they wait on a human to notice. Good routing means a signal triggers a move, with context attached, inside the window where it still matters.
Full entry →The ritual of producing confident revenue numbers from a system that cannot support them. Stages mean different things to different reps, commit categories get used three ways, and pipeline reviews become debates about whose figures are real. Leadership asks for confidence and receives performance. The fix is definitional, because inspection cannot repair stages that have stopped meaning anything.
Full entry →A go-to-market motion designed so AI agents can run meaningful parts of it: clear definitions, enforceable stages, one source of truth, and signal that routes automatically. Distinct from AI-assisted GTM, where tools draft and summarize but the operating layer still depends on tribal knowledge. AI-native systems are built to be usable by people and legible to agents at the same time.
Full entry →The condition a revenue system must reach before AI agents can be trusted to act on it. An agent inherits whatever it connects to: inconsistent definitions, contradictory routing, and fuzzy stages get executed at machine speed. Readiness means the operating layer is consistent enough that an agent reading it will do the right thing in a thousand records, unattended.
Full entry →To see these terms in use, read the library. To see them built into a working system, see the Signal-to-Pipeline Build.
