AI Data Maturity

Will AI understand your data — or guess wrong?

Upload a file. Get a readiness score and a column-by-column read on what’s missing, ambiguous, or sensitive before you connect it to AI.

AI can misinterpret data that’s missing, ambiguous, or mislabeled — and it answers confidently anyway.

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AI Data Maturity Score
Not AI ReadyLowModerateHighAI Ready

From the makers of PII Data Masking — trusted for HIPAA-grade PHI protection.

What You Get

Four things back, in under a minute.

AI Readiness Score
One number for whether a dataset is safe to connect to AI — and the three risks behind it.
Remediation checklist
Concrete, ordered actions built from your data. What to fix, in what order, before AI sees it.
Data dictionary
Every column defined, typed and quality-scored. Exportable to Excel.
Dataset Briefing
The semantic layer your AI tool is missing — plain-English definitions of what each column actually contains, so it stops guessing.
The Score

Know whether a dataset is safe to connect to AI.

One number, combining the three things that make AI get your data wrong.

Hallucination risk
Ambiguous columns AI has to guess at.
Sensitive data exposure
PII sitting in columns before AI sees it.
Data quality issues
Missing values that skew results.
The Checklist

An ordered checklist, built from your data

The assessment flags concrete, prioritized actions — not general advice — so you know exactly what to fix before AI has the chance to guess for you.

1
Resolve ambiguous column names
src_cd, cmpgn, flg — rename or document before connecting
2
Assess null impact
revenue and cmpgn have significant null rates
3
Mask or remove sensitive data
email detected — mask before connecting to AI

Example output — Web Session Data sample dataset.

The Data Dictionary

Data governance documentation

A complete Excel data dictionary — ready to use for documentation, data governance, and as a checklist for remediation. Instant visibility into files that live outside any governance tool’s reach.

ColumnQualityRename ToDescription
src_cd9source_channelMarketing acquisition source
email10—User email address (sensitive)
revenue6—Session revenue amount

Example output — Web Session Data sample dataset.

The Dataset Briefing

The semantic layer your AI tool is missing

We compare each column name against its actual data and write a definition of what it really contains — the context AI needs so it stops guessing.

Dataset
CRM Salesforce Test — each row is a sales opportunity
opp_idUnique opportunity identifier.
terrRegion abbreviation — may need a lookup.
rtgLead rating — values are hot / warm / cold, not a temperature.

Example output — CRM Salesforce sample dataset.

Know your data’s risk before AI does

Free, no account required — results in under a minute.

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