AI structures the reasoning. The founder owns the decision.
Morrow uses AI to organize company context, compare evidence, identify uncertainty, and generate structured recommendations. Consequential decisions remain subject to founder approval.
Morrow separates confirmed company information from model inference. Inferences are labeled and can be corrected or rejected.
Recommendations may reference the company records and approved evidence used to produce them.
Contradictions and missing information remain visible alongside the recommendation rather than being averaged into a single confident sentence.
The model does not independently approve company constraints, experiments, or final decisions. Approval, modification, and rejection are first-class actions.
Model outputs may be incomplete or incorrect and should be reviewed in context. Morrow keeps human review in the loop and preserves the evidence trail so mistakes can be identified.