AI Data Readiness

Is your data
actually
ready for AI?

88% of AI pilots fail to reach production. The cause is almost always data — not the model. Find out exactly where you stand in 15 minutes.

20 questions 15 minutes Instant score No sales call required
Sample AI Data Readiness Score
41 /100
Level 3 — Defined
Data quality & integrity
50
Data infrastructure
35
Governance & compliance
45
Organization & culture
45
AI-specific readiness
25
Signalwork · AI Data Readiness Score™
Why most AI investments stall

The data problem
nobody's talking about.

Organizations spend millions on AI models and infrastructure, then discover six months in that the underlying data isn't clean, governed, or structured enough to produce reliable outputs. The model isn't the bottleneck. The data is.

What the alternatives offer
Research or replacement
Research firms produce generic best practice written for thousands of organizations simultaneously — they tell you what to think, not what to do with your specific infrastructure. Large SIs bring teams that do the work for you: when they leave, the capability often leaves with them and the engagement renews or your program stalls.
What Signalwork does
No pitch. No retainer required.
Your score is yours, instantly, with no follow-up call required. If you want to discuss what it means for your specific situation, Signalwork is available. If you don't, you still walk away with a clear picture of where you are and what to fix first.
The assessment framework

Five dimensions.
One clear picture.

The Signalwork AI Data Readiness Score — built on a CMMI maturity scale — evaluates your organization across the five dimensions that determine whether AI projects succeed or fail.

01 · 25%
Data Quality & Integrity
Accuracy, completeness, consistency, and missing-value handling. AI models inherit every data error.
02 · 20%
Data Infrastructure & Architecture
Storage, pipeline, and compute environment. On-prem SQL Server is not an AI platform.
03 · 20%
Data Governance & Compliance
Ownership, lineage, access controls, and privacy. Every AI use case on personal data creates legal exposure.
04 · 20%
Data Organization & Culture
Executive sponsorship, team capability, and project prioritization. The most common reason AI programs stall.
05 · 15%
AI-Specific Readiness
Labeled data, feature engineering, model monitoring, and responsible AI. The capabilities that don't exist until you build them.
How it works

From score to action.

Step 01
Take the free assessment
20 questions across five dimensions for a score customized for you. 15 minutes or less to an actionable evaluation that tells you where to start.
Free · Instant score
Step 02
Dive deeper with a full synthesis report.
Understand each dimension in the context of your systems with a specific, dependency-ordered remediation plan built around your actual environments. In just under two weeks. No lengthy procurement process, no protracted legal negotiations, no systems access necessary.
Paid engagement
For organizations ready to go deeper

The synthesis report:
your exact situation, in under 2 weeks.

The free score tells you where you are. The Tier 2 synthesis report gives you a named, dependency-ordered remediation plan built around your actual infrastructure, compliance obligations, team capability, and first viable AI use case.

Multi-respondent consensus analysis
Divergence flagged as a finding
Named systems, not abstractions
Prioritized 18-month roadmap
Vendor recommendations for your stack
HIPAA / regulatory risk assessment
Delivered in under 2 weeks · No lengthy procurement required
Start with the free score
Get started

Know your number
before you build.

Your AI data readiness score tells you exactly which gaps will kill your AI project before you invest a dollar in building it.

Take the free assessment