Is your technology infrastructure ready for AI?
Many organisations can launch AI pilots. Far fewer have the data, platforms, integration, security, governance and operating model to move AI securely into production. This assessment shows you where your foundations are ready, and where they need work.
Free. 28 questions. About 5 to 7 minutes.
AI readiness
MediumData readiness
Security and governance
Operational readiness
Start with: Security and governance
AI readiness starts below the AI layer.
A promising pilot proves an idea can work. Production proves it can run safely, at scale, every day. The gap between the two is rarely the model. It is the foundations underneath it.
When data is hard to reach, platforms cannot scale, integration is brittle, or governance is unclear, weak foundations quietly turn promising pilots into expensive demonstrations. This assessment looks at the conditions beneath your AI ambition, so you can see what to strengthen before you scale.
Six foundations for production AI.
The assessment scores your readiness across the conditions that decide whether AI can move beyond experiments and run reliably in the enterprise.
Data accessibility and quality
Whether the data your priority use cases depend on is easy to reach, trusted against clear quality standards, and owned with defined classification and permitted use.
Platform capability
Whether you can provision approved environments reliably, apply cloud and AI standards across teams, and scale priority services without heavy manual effort or legacy constraints.
Integration with core systems
Whether AI services can connect securely to your core applications, you keep a current view of data flows and dependencies, and teams reuse APIs and patterns across initiatives.
Security and governance
Whether approved and prohibited uses are defined, access rights are controlled and auditable, and use cases follow clear privacy, security and risk controls you can monitor and explain.
Delivery capability
Whether you have the skills to deliver AI into production, initiatives tie to clear business outcomes and owners, and viable pilots actually progress beyond the lab.
Operational readiness
Whether ownership is defined after launch, you can monitor performance, cost and value together, and have procedures for unsafe or unexpected results and ongoing cost control.
A clear read on your readiness, in a few minutes.
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Answer 28 questions
Add your details, then answer focused questions on data, platforms, integration, security, delivery and operations.
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See your readiness
Get a personalised score across the six foundations and an overall readiness level for production AI.
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Know where to strengthen
See the gaps most likely to slow your progress and a practical route forward before you scale.
See where your AI foundations stand.
A few minutes now gives you a realistic view of your readiness and the gaps to close before you move AI into production.
Free. 28 questions. About 5 to 7 minutes.
