Data Readiness Assessment
Get your data ready for AI, faster.
We scan your systems, score your data and give you a plan for your first AI projects.
What you get
Map of your data
Each system in scope, the data it holds and how it connects.
Data quality findings
Where data is missing, wrong or inconsistent.
Readiness score
A score for each area, such as customer, product, operations and finance.
Platform design
How your data platform should be set up on your cloud.
Plan
The first projects to run, in order.
How it works
Our tools scan your systems, and our team reviews the results with yours.
First days
Kick-off
We agree the systems and use cases to cover.
Week 1
Scan
Automated Data Discovery scans your systems and maps the data and its gaps.
Week 2
Score
Our data engineers review the findings with your team and score each area.
End of week 2 or 3
Readout
We present the report and plan to your leadership team.
Sample report
Eight pages from a full report for a US regional health system: the executive summary, systems scanned, readiness by data area, top data quality findings, target platform design and the 12-week plan.
Your sample report is ready.
Download the sample report (PDF)Who it’s for
- You plan to use AI and want to know if your data is ready.
- You are moving to a new data platform, such as Databricks, Microsoft Fabric, Snowflake or BigQuery.
- You scored Needs strengthening or Emerging on the AI Readiness Diagnostic.
Questions
Which platforms do you work with?
All major clouds and data platforms, including Azure, AWS, Google Cloud, Databricks, Microsoft Fabric and Snowflake.
How do you protect our data?
We are SOC 2 and ISO 27001 certified. We only access what your team approves.
What happens after the assessment?
You keep the report and plan. If you want, our data engineers can build the data foundation from it.
How is this different from the AI Readiness Diagnostic?
The diagnostic is a four-minute self-check. This assessment is hands-on work on your systems with our data engineers.