AI Readiness Assessment
Every organisation is talking about AI, but knowing where to start – and what will actually deliver value – isn’t always clear.
Our AI Readiness Assessment helps you move beyond the buzzwords to create a practical plan for using AI effectively.
Why an AI Readiness Assessment?
- Your competitors are talking about AI, and you’re wondering if you’re falling behind
- You’ve tried some AI projects that haven’t delivered the expected value
- Your teams are experimenting with AI tools, but there’s no coherent approach
- You want to invest in AI but need to build a solid business case
- You’re concerned about the risks and governance of AI adoption
That’s where our AI Readiness Assessment comes in. It’s not about jumping on the latest AI trend – it’s about finding practical ways AI can solve real problems in your organisation.
It’s not about jumping on the latest AI trend – it’s about finding practical ways AI can solve real problems in your organisation.
What We Assess
We focus on the areas that determine successful AI adoption:
Business Opportunity
Where could AI create genuine value? We’ll help identify use cases that align with your business goals.
Data Foundation
Is your data ready to support AI initiatives? We’ll assess your data quality, accessibility, and governance.
Team Capabilities
What skills do you have, what do you need, and how should you structure your teams for AI projects?
Technical Infrastructure
Do you have the right tools and platforms to support AI development and deployment?
Governance and Ethics
How to ensure responsible AI use while managing risks and maintaining trust.
Why an AI Readiness Assessment?
For Your Organisation
AI should work for your business, not the other way around. We’ll help you:
- Identify AI opportunities that align with your goals
- Prioritise use cases with real ROI potential
- Take a risk-aware, responsible approach to AI adoption
- Stay ahead of competitors by using AI where it truly adds value
- Build a clear, practical roadmap for AI implementation
For Your Teams
Your teams need clarity and confidence to make AI work. We’ll help by:
- Giving them a clear direction for AI initiatives
- Mapping out the skills they need (and what’s already in place)
- Providing a framework for assessing AI tools
- Ensuring AI adoption is balanced and practical, not overwhelming
- Helping them innovate with AI in a way that makes sense
For Your Leaders
AI decisions need to be strategic, not just reactive. Our assessment gives leaders:
- A business-focused approach to AI adoption
- A clear view of the real costs and benefits
- A better understanding of AI risks and governance
- A prioritised roadmap for investment
- A way to use AI strategically to gain an edge
Who’s Involved?
We bring together perspectives from across your organisation – business leaders, technical teams, and end users.
Our experienced consultants guide the process, ensuring we focus on practical value rather than theoretical possibilities.
Ready to Take the Next Step?
Book a free discovery call to discuss your challenges and see how an assessment can help.
Common Questions
What if our data isn’t ready for AI?
That’s a common situation. We’ll help you understand what needs to improve and create a plan to get there.
How do we ensure responsible AI use?
We build this into the assessment, helping you create frameworks for ethical AI development and deployment.
We’ve had AI projects fail before – how is this different?
We focus on finding practical, valuable use cases first, rather than starting with the technology. This helps ensure AI projects deliver real value.
Isn’t it too early for us to think about AI?
If you’re asking this question, it’s probably the perfect time to assess your readiness and start planning strategically.
Insights and advice from Nimble Approach
Why Token Awareness Matters: A Developer’s Hard-Learned Lesson in AI Efficiency
Amplifier, Not Autopilot: What the DORA AI Findings Really Tell Us
Amplifier, Not Autopilot: What the DORA AI Findings Really Tell Us
Two-Speed Transformation: When You Should Go Slow, and When Quick Delivery Wins
Two-Speed Transformation: When You Should Go Slow, and When Quick Delivery Wins
Enhancing AI With Organisational Context: Why Less Is Often More




