RIGHT ENGINES
What is an AI engine?
A direct definition of what is an ai engine, including use, cost, inputs, limitations, and when not to use it.
What is it?
An AI engine is a repeatable system that combines instructions, evidence handling, decision logic, validation, and delivery around a specific outcome.
When is it useful?
It is useful when a business problem recurs and a dependable workflow matters more than one clever answer.
What does it cost?
Investment ranges from a reusable Outcome Kit to a scoped Private or Exclusive Engine.
How does it work?
Right Engines diagnoses the problem, selects or builds an architecture, validates it, and delivers the governed workflow.
What inputs are required?
The problem, available evidence, constraints, environment, risk, and success criteria.
What are the limitations?
An engine is only as reliable as its evidence, tests, controls, and review model.
When should you not use it?
Do not build one for a one-off low-value task or where no valid acceptance test exists.
How do you measure success?
Use objective acceptance criteria agreed before the run or build; measure the intended outcome, corrections, reliability, and buyer usefulness.
Published 2026-08-31 · Updated 2026-08-31 · Version 1.0