Fully Documented Requirements Package (FDRP)
Freezing a complete requirements model before engaging AI ensures Zero-Iteration Delivery (ZID) and eliminates the waste of iterative discovery!
Delivery
Patterns for integrating AI-generated artifacts into the existing delivery pipeline without disrupting governance.
End-of-Cycle Integration Events (ECIEs)
Consolidating all AI output into a single integration window at the end of each Program Increment ensures holistic evaluation and prevents the destabilizing effects of early feedback!
Legacy Architectural Integrity (LAI)
Ensuring AI operates within existing monolithic systems preserves Output Consistency Assurance (OCA) and eliminates the risk of unscoped optionality!
High-Risk, Backlogged Strategic Epics (HRBSEs)
Backlog items deferred due to complexity, risk, or unclear intent become ideal candidates for AI execution, supporting Backlog Compression Objectives and reducing Unfulfilled Commitment Overhang!