The “as-planned vs. as-built” gap refers to discrepancies between engineering designs and actual field installations. When differences are detected late, operators face redesign, rework, and delayed activation. Early AI-powered validation reduces this gap by identifying deviations during deployment, preventing downstream delays and protecting rollout schedules.