Happy path
The single most common route through a process, the clean sequence people picture when they describe it. On a real discovery map it is usually the central spine, and the diagnostic question is what share of cases actually follow it (a small share is a warning).
Defined in 2 GAGE programs, which carry 3 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.
The single most common route through a process, the clean sequence people picture when they describe it. On a real discovery map it is usually the central spine, and the diagnostic question is what share of cases actually follow it (a small share is a warning).
The input or scenario a system handles well, which a demo is built around. Real use includes the unhappy paths (rare, messy, adversarial inputs) that a demo avoids and an evaluation deliberately seeks out.
The normal, everything-goes-right route through a process. Easy to describe and easy for AI to handle, and almost never where automation projects fail; the failures live in the exceptions, variations, and edge cases outside it.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- Distrust is a skill: why demos convince and evals do not lie · Evaluation and Trust, AI Governance: Applied Mastery
- Current-State Process Mining · Diagnose the Organization, Business AI Transformation
- Process Discovery and Documentation · Process and Operations Redesign, Business AI Transformation
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.