An AI readiness assessment clarifies which parts of your product can absorb model-backed features and which constraints must be resolved first. We examine architecture, data access patterns, evaluation habits, and release governance.
You receive a structured findings brief that separates quick wins from foundational work. The goal is a shared decision frame for product, engineering, and compliance stakeholders.
Typical outcomes include a prioritized opportunity list, identified blockers, and a recommended sequence for experimentation that respects existing SLAs.