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AI Readiness Assessment: Know Where You Stand
Find out how ready your organization is for AI before you spend on it. We score your data, technology, people and governance, and give you a short, prioritised list of what to fix.
Quick answer
What is an AI readiness assessment?
An AI readiness assessment is a structured review of whether your data, systems, skills and governance can support AI projects. ML Data House scores each area, compares it with what your priority use cases need, and gives you a gap list and a 90-day action plan, so the first AI project starts on solid ground.
- Scores across data, technology, people, process and governance
- Gaps measured against your real use cases, not a generic model
- Quick wins you can act on in weeks
- Free self-check available before you book
What we deliver
What our AI Readiness Assessment service covers
Data readiness
Quality, access, ownership and history of the data your use cases depend on.
Technology and integration
Cloud, data platforms, APIs and security controls needed to run AI reliably.
People and skills
Who will own, build, use and support AI, and where training or hiring is needed.
Processes
How work flows today and where AI would change it, so adoption is planned.
Governance and risk
Policies for privacy, model risk, acceptable use and vendor AI tools.
Readiness score and report
A clear score per area with evidence, and the actions that move each score up.
How it works
Our AI Readiness Assessment process
Short, visible steps with a demo or decision at the end of each one.
Interviews
Short sessions with business, data and IT owners.
Evidence review
Sample data, architecture and policy review.
Report
Scores, gap list and a 90-day action plan presented to your team.
Deliverables
What you get
- AI readiness scorecard across five areas
- Data quality and access findings
- Prioritised gap list with effort estimates
- 90-day readiness action plan
- Recommended first AI use case
Best fit
This is right for you if…
- You are about to fund your first AI project
- A previous AI pilot stalled
- You need evidence for a board or investor decision
- Data is spread across many tools and spreadsheets
UK & US
AI Readiness Assessment for UK and US businesses
One remote team, planned around the rules and working patterns of each market.
United Kingdom
We work from our UK office in Wolverhampton with clients across England, Scotland, Wales and Northern Ireland, remotely. Projects are planned around UK GDPR and the Data Protection Act 2018, ICO guidance on AI and data protection, and, if you sell into Europe, the EU AI Act.
For UK organizations we check records of processing, DPIA practice and data-sharing agreements as part of the governance score.
United States
We work remotely with US companies from coast to coast, and UK working hours overlap with the US East Coast morning for live calls and demos. We plan around the NIST AI Risk Management Framework, state privacy laws such as the CCPA/CPRA, and sector rules like HIPAA where they apply.
For US organizations we check privacy notices, data-retention rules and any HIPAA or state-law obligations that affect AI use.
Tools, models & frameworks
AI readiness checklistData profiling (Python, SQL)Architecture reviewMaturity scoringPower BI reporting
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FAQ
AI Readiness Assessment: frequently asked questions
How do I know if my business is ready for AI?
You are ready to start when you have a clear problem to solve, access to the related data and someone who owns the result. Our free AI readiness checklist gives a quick view; the full assessment gives evidence and a plan.
What does an AI readiness assessment measure?
Data quality and access, technology and integration, people and skills, processes, and governance. Each is scored against the needs of your priority use cases.
How long does an AI readiness assessment take?
Usually one to three weeks, depending on the number of teams and systems involved.
What is the difference between AI readiness and AI maturity?
Readiness asks whether you can start specific AI projects now. Maturity describes how far AI is embedded across the organization. The assessment covers both, with the focus on what to do next.
What if we score low?
A low score is useful: it shows exactly what to fix first. Many gaps, such as data access or ownership, can be closed in weeks.
Is the assessment useful for small businesses?
Yes. We keep it light for smaller teams, focusing on one or two use cases and the minimum needed to start safely.
Can you help close the gaps you find?
Yes. We can fix data pipelines, set up governance and deliver the first use case through our 3-month framework, or support your team to do it.
Ready to talk about AI Readiness Assessment?
Tell us about your goals, data and systems. We will reply with practical next steps, wherever you are in the UK, the US or worldwide.