Assessments
Kick off a new version on the right. Every assessment starts with the 8 universal domains below, then adds two segment-specific focus areas you pick at creation time.
Executive sponsorship, ambition, and the bridge from AI vision to measurable business outcomes.
Data foundations — quality, lineage, governance, and the platform that makes AI actually work.
In-house AI talent, org design, build-vs-buy decisions, and partner leverage.
Model lifecycle discipline: development velocity, monitoring, and risk-managed deployment.
Responsible AI — fairness testing, explainability, regulatory posture, and customer trust.
Value tracking — tying AI investment to revenue, cost, risk reduction, and NPS.
Workforce readiness — adoption, upskilling, and the cultural runway for AI-native ways of working.
The enterprise AI plumbing: compute, GenAI platforms, vector stores, and secure integration.
Question counts reflect the current engagement scope (full day). Longer engagements unlock deeper operational and technical threads.