Building AI That Works: The AI Readiness Playbook

Every enterprise has an AI strategy. Most don’t have the data to make it work.

According to Fivetran’s Enterprise Data Infrastructure Benchmark, 73% of enterprise data initiatives fail to meet expectations despite average annual budgets of $29.3 million. For AI projects specifically, 42% have been delayed, underperformed, or failed because the data feeding them wasn’t ready.

The problem isn’t the AI. It’s what’s underneath it.

This guide breaks down what’s actually going wrong, what the organizations getting AI to production are doing differently, and how to build the data foundation your AI strategy requires. No product pitches. Just research, frameworks, and a roadmap you can act on this quarter.

What’s Inside the Playbook

✓ Five-Dimension AI Readiness Framework — Assess where your organization stands across integration, governance, infrastructure, organizational readiness, and use case clarity

✓ The Three Foundations — The data platform architecture (automated data movement, governed lakehouse, enterprise semantic layer) every AI initiative requires before it can reach production

✓ What AI Agents Need from Your Data — A 7-point checklist covering what the next wave of AI demands from your data platform, including the governance gap that gives some organizations 12x more AI projects in production

✓ 90-Day Roadmap — Stage-specific action plans for early, mid, and advanced maturity with clear milestones you can bring to your next budget conversation

✓ Technology Decision Framework — How to evaluate platforms without getting locked in, including the four principles that prevent vendor traps