AI Readiness Assessment
We want to do better today than yesterday, but not at the expense of tomorrow
According to a recent Stack Overflow Developer report, 84% of respondents are already using AI in their development workflows. The productivity gains are already being felt but questions remain regarding the long-term impact on organisational performance. What happens when you scale this across more teams? How do you maintain quality and control when AI is doing more of the work? And how do you make sure the speed you're gaining is actually translating to business value?
This assessment gives you a clear picture of where you stand and a practical path forward.
What we help you work out
What your developers should own, and what can safely be handed to AI agents
How to adapt your existing practices — testing, reviews, specification — so they hold up as AI takes on more tasks.
What specification-driven development looks like in your context, and why it matters more now
How to give AI agents enough freedom to be useful while keeping the team in control
How to align AI adoption with your broader business goals to ensure increased delivery speed translates into improved organisational performance.
What you'll get
A clear view of where AI will have the highest impact across your teams and codebase
An honest assessment of the risks and how to get ahead of them
A prioritised roadmap that reduces uncertainty by connecting AI adoption to your business goals
An objective outside perspective from experts in software modelling and strategy
Exploration 🧭
Through interviews, workshops, and code reviews, we build a clear picture of your current AI adoption, development practices, and delivery lifecycle.
Analysis 📚
We identify the gaps between where you are and where you need to be, aligning AI potential with your specific business goals.
Guidance 💡
We present our findings to your team alongside a focused, actionable set of recommendations.