Assessment
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3 assessment tracks for exec, technical, and enterprise teams
7 AI readiness domains scored with domain-level insight
45 diagnostic questions developed from current industry research
What you will receive A personalized AI Data Readiness Report showing your overall score, domain-by-domain breakdown, which AI use cases you can pursue now vs. what needs foundational work, critical risk signals in your current environment, and a prioritized action plan — all based on your specific answers.
AI Data Readiness Assessment

Is your data actually ready
for production AI?

Most organizations have a board-level AI mandate and a data foundation that can't support it. This assessment tells you exactly where that gap is — and what to do about it. Answer honestly. The value is in the accuracy.

26% of CDOs are confident their data can support AI revenue streams
IBM Global CDO Study, 2025
3 of 24 average GenAI pilots that reach production — the barrier is data foundations, not model quality
McKinsey, 2025
80% of enterprises struggle to leverage GenAI due to fragmented data architecture and inadequate data quality
Wipro State of Data4AI, 2025
Three assessment tracks — choose the one that fits your role
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Strategic Executive
For CDOs, VPs of Data, CIOs, and CTOs. Translates your data state into board-level language — not technical maturity scores, but competitive risk, ROI framing, and investment priorities you can defend in any room.
What you receive: Strategic Readiness Score · AI Use Case Readiness Map · Data Quality Confidence Assessment · 3 board-ready priority investments · Critical risk signals
Covers: AI strategy alignment · Business value & ROI · Data quality confidence · Risk & governance · Org readiness · Use case maturity
~10 min 17 questions CDO / VP / CIO / CTO
🔧
Technical Deep Dive
For Data Architects, Engineers, and Analytics Leads. Diagnoses the implementation layer — pipelines, data quality mechanisms, semantic layer, lineage, MLOps maturity, and AI security posture.
What you receive: Technical Readiness Score · Domain Heat Map · Prioritized remediation backlog with effort estimates · Critical signal flags · Benchmark comparison
Covers: Pipeline architecture · Data quality & hygiene · Semantic layer & metadata · Lineage & observability · MLOps & model lifecycle · Infrastructure & RAG readiness · AI security
~15 min 28 questions Architect / Engineer / Analytics Lead
Most Insight
🏢
Enterprise Combined
Both tracks completed by their respective owners — separately, then compared. The output reveals what neither side can see alone: the gap between where leadership thinks the data foundation is and where it actually is.
Unique output — The Alignment Gap™: A dimension-by-dimension comparison of executive perception vs. technical reality. This gap is the most common root cause of AI investments that fail to reach production. Most organizations have never quantified it.
~25 min total 45 questions Exec + Technical team

No account required · Results stay in your browser · Takes 10–25 minutes depending on track

💡 Facilitator note:
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Your AI Readiness Report
Here's where you stand.
Overall Readiness Index
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0–30 · Foundational — Significant work before AI is viable
31–54 · Emerging — Narrow AI use cases possible now
55–72 · Developing — Targeted AI deployable; gaps need addressing
73–88 · Established — Broad AI deployment viable
89–100 · Optimized — Full agentic AI capability
Domain Breakdown
AI Use Case Readiness — Based on Your Data State
✅ What You Can Do Right Now
⚠️ What's Blocking You
🎯 Priority Improvements — In This Order
Want expert eyes on this?
Our team can walk through your results, validate the findings against your actual environment, and map a concrete path forward — without a generalized playbook.

This assessment reflects your self-reported inputs. Results are indicative, not definitive — a guided session with an advisor provides deeper validation.