Skip to main content

Kill criteria

Pre-agreed, objective conditions under which a project is stopped regardless of political momentum (for example, thesis invalidated, timeline past three times the estimate, budget past twice the estimate without progress). The half of pipeline management that organizations find hardest.

Defined in 4 GAGE programs, which carry 11 distinct definitions of it. The wording above is taught in Business AI Transformation.

How each discipline defines it

The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.

Business AI Transformation

Pre-agreed, objective conditions under which a project is stopped regardless of political momentum (for example, thesis invalidated, timeline past three times the estimate, budget past twice the estimate without progress). The half of pipeline management that organizations find hardest.

AI Governance: Applied Mastery

Pre-agreed, numeric conditions under which a project is paused or shut down, set in calm conditions rather than decided in a crisis. A stop rule written in advance is cheaper and steadier than one forced by a public failure.

Agentic AI Governance: Applied Mastery

The predefined, measurable conditions, decided before deployment, that trigger a move between offline states. A kill criterion written during an active incident is a pressured guess, not a control.

AI Literacy & Professional Conduct

The specific, measurable evidence, set at the moment of funding, that would make an executive stop an AI initiative; what allows a portfolio to feed winners by stopping losers.

Business AI Transformation

Pre-approved, objective conditions under which a pilot or the whole program should be stopped. Because they are signed off in advance, exercising them reads as discipline, not personal failure. Their absence produces the "pilot zoo."

Where it is taught

The exact lessons this term appears in. The first 7 topics of every program are free with a free account.

Terms it appears with

Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.