AI-first planning vendors differ most in who owns the model
The decisive architectural question is not whether a platform uses AI, but whether the customer can inspect, configure, version and govern the planning logic.
AI-first planning vendors often use similar language while giving customers very different levels of control over the model.
Operational implication
A platform may automate forecasting, replenishment or scenario selection while keeping critical logic opaque or vendor-controlled.
Decision architecture
Buyers should determine who can change objectives, constraints, features, thresholds and fallback rules.
Governance requirement
Model versions, parameter changes, training data, approvals and outcome history should be traceable.
What should remain lightweight
Experimental models and controlled prototypes can remain outside the production stack.
What should be integrated
Validated logic should be industrialized in APS, ERP or BI only when ownership and controls are explicit.
The strongest AI capability is not autonomy. It is governable decision logic.