Many organisations don't know if they are truly ready to scale AI: Some teams are already using AI across their work; others don't even know where to start. This gap between ambition and readiness is where successful AI adoption stalls.
What does AI readiness actually mean?
AI readiness is your organisation's ability to adopt AI effectively, responsibly and at scale. Not just about tools and technology, but with leadership alignment, workforce confidence, and the governance to determine whether AI delivers real business value.
Why AI readiness matters now
Without readiness, AI impact is limited. Organisations are investing before knowing if they're ready, with without trust and clarity, employee confidence in AI remains low, and adoption stays fragmented.
A practical way to understand where your organisation is with AI readiness, and what to do next.
Built by a team of specialists from across Edelman, and designed to address real-world adoption challenges, the Edelman AI Readiness Assessment is focused on the drivers behind change: People, behaviours and ways of working.
What you will get from the assessment
Our AI Readiness Assessment will give you a clear snapshot of your current readiness, with an insight into your organisation's strengths, risks and barriers, with practical direction on where to act first.
We’ve identified five pillars to AI readiness:
Understand leadership alignment and current AI strategy direction
What skills and learning your people need to feel confident in using AI in their work.
The level of trust in AI in your organisation, and how that impacts experimentation and overall AI adoption.
The strength of your AI governance, and how it supports responsible AI use within your organisation.
How your AI strategy is positioned to turn ambition into outcomes that reflect real business value.
Built by a team of Edelman specialists in AI, Workplace Advisory and Digital Experience Design.
More than technology and tools, we measure how your workforce trusts and has confidence in AI.
We give you recommendations you can apply now, rather than just a readiness score.
Your AI readiness score
Insights across five dimensions
Benchmark comparisons
Practical recommendations
A downloadable report
An AI readiness assessment helps you understand how prepared your organisation is to adopt AI effectively. It looks beyond tools to assess whether your leadership, people, culture and ways of working are set up to turn AI into real value.
Most organisations are not sure. Signs of low readiness include inconsistent use of AI, low employee confidence, unclear leadership direction or gaps in governance. This assessment gives you a clear, structured view of where you are today and what to improve.
AI readiness includes leadership alignment, employee skills and confidence, workplace culture, governance and ways of working. Together, these determine whether AI can be adopted consistently and at scale across the organisation.
Not at all. In fact, this assessment has been designed for leaders across functions, including HR, Communications, Marketing, Transformation and Technology. It focuses on people and adoption, not just the AI tools available, and technical capability.
The assessment is designed to be quick and practical to complete. It gives you a useful snapshot of your organisation without requiring a significant time commitment.
You receive a clear view of your current AI readiness, including strengths, risks and key gaps. You also get direction on where to focus next to improve adoption and unlock more value from AI.
Many tools focus on technology and infrastructure. This assessment is different because it focuses on people, behaviour and adoption, helping you understand whether your organisation is truly ready to use AI in practice.
Yes. You can use the assessment at different levels, from a single team to a whole organisation. This makes it useful for identifying where adoption varies and where targeted action is needed.
Your results help you prioritise where to act first, whether that is building skills, aligning leadership, strengthening governance or improving ways of working. They can also inform broader transformation and change efforts.
AI adoption depends on whether people feel confident using it. When employees lack clarity, trust or support, adoption remains patchy. Building confidence helps turn AI from isolated use into consistent, organisation-wide impact.