AI Maturity Assessment

Fill out the form below to see where your organisation lies on the maturity curve

1. Leadership & Vision:
How involved is your company’s leadership in driving AI strategy?
Leadership hasn’t discussed AI yet AI has come up occasionally, but there’s no ownership There’s interest, but no clear direction or funding Senior leaders actively support AI initiatives AI is a key part of our executive strategy

2. Data Readiness:
How prepared is your organization when it comes to using data for AI?
Data is messy and lives in separate systems We’ve cleaned some data for reports or small projects We have pipelines that connect and move data regularly Our data is governed, centralized, and shared across teams Our systems feed real-time, high-quality data into AI tools

3. Technology Stack:
What tools or systems do you use to support AI development and automation?
We’re not using any AI or automation tools yet We’ve tried simple cloud tools or low-code platforms We’re using machine learning tools with developer support We have a modern, scalable AI infrastructure in place We’ve built systems that enable autonomous or intelligent agents

4. Skills & Talent:
Do you have the right people and knowledge to deliver AI projects successfully?
We don’t have anyone focused on AI or data We rely on enthusiastic employees with limited experience We’ve hired some data scientists or external consultants We have dedicated teams focused on AI and automation AI expertise is deeply embedded across departments

5. Use Cases:
How is AI actually being used in your business today?
We’re still figuring out how AI could help us We’ve tried one or two basic use cases or pilots We’ve successfully deployed AI in one or more areas Many teams actively use AI to improve performance AI drives continuous learning and improvement across the company

6. Governance & Risk:
How well do you manage the risks, ethics, and compliance around AI?
We haven’t considered any of this yet We make decisions case by case, without a clear policy We use some tools to monitor data or model fairness We have formal policies for AI ethics, data, and compliance Our governance is integrated into all AI systems and workflows

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