AI Readiness
Can your organization move AI from pilot to production?
- The challenge
- More than 80% of AI projects fail, twice the failure rate of non-AI IT projects (RAND Corporation, August 2024). The causes are structural: data quality, infrastructure, security, governance, and integration into real workflows.
- What we assess
- Data readiness, infrastructure and compute, security posture, governance, integration paths, and leadership alignment on what AI is for and how success is measured.
- What you get
- A scored readiness profile, the specific blockers keeping your pilots out of production, and a sequenced plan to clear them.