- Blog Post
Measuring AI Readiness: the new tool helping businesses prepare for the AI revolution
Leaders discuss the critical role of data readiness and cultural preparedness in successful AI adoption
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On the morning of Tuesday, January 28, 2025, nearly 80 leaders in Private Equity and Finance gathered in London to learn about the huge changes that have been happening thanks to developments in AI, and to see the new AI Readiness Assessment Tool in action.
Launched to help businesses prepare for the AI revolution, the AI Readiness Assessment is essential for any business serious about deploying the technology in their operations.
“Readiness” is a key word here: as Cerys Wyn Davies, Partner at host organization Pinsent Masons said, legislation is lagging behind the reality of what AI can accomplish, which poses the problem to businesses that they may either do as they please or try to second guess what restrictions may be placed on them at a later date.
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Fortunately, an opening keynote from Lord Chris Holmes, whose Artificial Intelligence (Regulation) Bill is currently at the stage of its third reading in the House of Lords provided some reassurance that there are voices in parliament who “get it”. Lord Holmes said:
“If [implementation of technology] goes wrong – and there are numerous examples of where it has gone wrong – that is not a failure of technology, it’s a failure of us. We decide, we determine, we choose… technology is a fundamentally and fabulously human question.”
Lord Holmes added that although the hype surrounds one side of the balance sheet, the costs, not least the natural resources being consumed by the burgeoning energy demands of AI, must also be reckoned with. He warned:
“Without public engagement, it doesn’t matter how good the solution is. There will be no benefits, only problems.”
Natalie Cramp, Partner at JMAN Group and panel chair, demonstrated the AI Readiness Assessment, a tool for businesses built in collaboration with JMAN, NorthCap Cyber, Inference and Pinsent Masons. Using the tool, leaders can plot their readiness to take on the new technology against six key criteria, benchmarking against other businesses of similar size and across different industries and seeing their results in an interactive dashboard and a downloadable report to use within their business.
Natalie explained how going into this kind of detail breaks down the concept of AI from being an all-conquering external force and instead puts the emphasis on individual businesses to be prepared for the technology. This includes the readiness of the people within an organisation to start using it:
“There won’t be one silver bullet, but marginal changes will add up to transformation.”
Echoing the remarks of Lord Holmes, Cramp added that the human dimension was one that should not be neglected: “Sadly I see few Chief People Officers present when I talk to organisations about
their data and AI transformation.”
Sam Brown, Managing Partner and Co-Founder at NorthCap Cyber, said that the threats of AI need to be thought about in a strategic way:
“At present, people are gung ho – welcoming AI guests into their home without thinking about the full implications. Starting your AI journey has to be done with some degree of caution. Now we are playing catchup with how we educate people about how AI can be used and abused.”
On the subject of threats, Cerys Wyn Davies reminded the room that the law is changing and it is essential for businesses to keep up with the regulations: governance needs to be in place now, because sooner or later there will be a call for accountability. She said:
“The EU is not the gold standard; in France and Germany it is seen as too restrictive and there is fragmentation between countries trying to attract AI talent.”
Richard Davis, CEO and Co-Founder at Inference, added his thoughts on how to make AI work in a practical way within a business:
“Those who are doing well aren’t doing everything, they are investing in lighthouse projects. Set up, deploy and communicate benefits, then develop re-use capabilities. The key is to start small, talk up successes where they happen and stop projects that aren’t delivering.”
Closing the discussion, Natalie Cramp agreed that as leaders, “our job is to both encourage and kill experiments to avoid POC purgatory. And as a general principle, to remember that strategy, data, process and people come first, because technology is the icing – not the cake itself.”
To try the AI Readiness Assessment Tool for yourself, click on the button below.