How ready is your business for AI?
AI is moving faster than most organisations can keep up. In 21 questions and about 6 minutes, get a shareable Scorecard that shows where your data foundation is AI-ready — and where it will break under AI scale.
Why this matters
Most failed AI projects trace back to data problems — not model choice. The Scorecard benchmarks your readiness on the 7 foundations that decide whether AI works at your organisation.
Backed by DM360
Built on the Agilus DM360 data-maturity framework — the same assessment used by enterprise clients running Microsoft Fabric, Azure, and Databricks programmes.
What you get
A banded score from Laggard to AI-Ready, a 7-pillar breakdown, three prioritised actions — and a shareable Scorecard URL.
What your Scorecard reveals
An overall AI readiness score out of 100
Your band: Laggard → Developing → Emerging → Advanced → AI-Ready
A 7-pillar radar showing strengths and gaps
Top 3 prioritised next actions
A shareable, on-brand results card
Zero marketing waffle — deterministic scoring, no fluff
The 7 AI Readiness Pillars
Governance for AI
Data Governance
Data Quality for AI
Data Quality
Architecture for AI
Data Architecture; Data Modeling & Design
Analytics & Decisioning
DW & BI; Analytics
Security & Compliance
Data Security; Privacy/Compliance
Operating Model
Data Management Practice
AI Readiness
AI & Advanced Analytics
Prefer the full 49-question enterprise-grade AI Readiness Assessment? Go to the full Assessment