Frameworks we use with clients — now available to everyone.
A structured approach to evaluating organizational readiness for AI adoption, covering data maturity, talent, infrastructure, and governance.
A five-level maturity model for assessing and improving data management capabilities across collection, storage, governance, and analytics.
A comprehensive pre-deployment checklist for machine learning models covering validation, monitoring, rollback, and governance requirements.
A decision framework for choosing the right analytics approach — descriptive, diagnostic, predictive, or prescriptive — based on business context.
