AI Readiness Assessment
AI readiness assessment: data readiness, use-case prioritization, risk review, and a pragmatic roadmap.
Data
Quality, access, lineage, and model-readiness checks.
Use Cases
Effort, impact, risk, and dependency mapping.
Governance
Policy gaps, compliance, and security review.
Roadmap
Pilot scope, milestones, metrics, and governance guardrails.
People
Skills, change management, and executive sponsorship.
Outcome
Prioritized plan with decision gates and measurable targets.