Start with the decision boundary, not the model.
Define what AI can recommend, what humans must approve and what evidence is required before scale.
Useful perspectives for decision-makers evaluating cyber, AI, modernization and delivery risk.
Define what AI can recommend, what humans must approve and what evidence is required before scale.
Control ownership and evidence sources should be part of implementation, not an end-of-project scramble.
Migration, adoption, security and operational continuity should be designed with the future state.
Workshare, security, technology and customer acceptance need one integrated control model.
One repeatable system for aligning risk, technology, people, partners and acceptance.
Cyber · compliance · data · delivery
Technology · people · partners · process
Schedule · quality · communication · evidence
Resilience · lessons · sustainment · scale