Alex Honey, senior consultant of strategy and change at Prosperity 24/7, explains why the people closest to the work are best placed to identify where AI may be able to help
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ARTIFICIAL intelligence is permeating our lives and business at great speed, coupled with purveyors of AI solutions, who seem to be popping up everywhere, often promising transformative results and overnight success.
Yet, for most organisations, the reality is far more nuanced. AI isn’t magically transforming business overnight. We all have legacy systems, regulatory obligations and operational risk that cannot be bypassed with a clever prompt to fix it. The challenges of AI adoption are much more complex.
If you’re running a business, you are not starting from scratch. You must contend with
legacy systems, existing infrastructure, regulatory obligations, data protection responsibilities and many more things. The list goes on.
You have staff whose trust and understanding are critical, and leaders who demand clear evidence of return on investment before allocating resources. Any meaningful conversation about AI must begin by recognising these constraints.
Many of us have already grasped the basics of AI and are seeing benefits from AI assistants such as Microsoft Copilot. However, the true potential, and real challenge, lies in moving beyond these tools to embrace AI agents capable of acting autonomously, automating workflows and transforming entire business processes.
This leap is proving difficult for many organisations, largely because the gap between hype and reality is not a lack of skills, but a lack of practical methods for implementation.
Enter the AI Design Sprint®, a people-led, practical framework designed to help businesses explore where AI agents and automated workflows can make a genuine difference. The approach, developed by 33A in Copenhagen, is now available to Prosperity 24/7’s clients, and was designed for exactly this situation. It is grounded in design thinking and the same human-centred approach that is behind the Google Design Sprint.
This framework is not about helping your team get more from Microsoft Copilot but to explore AI agents and automated workflows which could transform your operations, with the rigour, governance and human involvement that this kind of change demands.
Crucially, this approach requires no technical expertise, making it accessible to businesses of all sizes and sectors. The AI Design Sprint® acknowledges the operational realities faced by organisations and offers a structured pathway towards AI adoption that is both strategic and pragmatic.
At its core is a simple principle: the people closest to the work are best placed to identify where AI can help. They don’t need to become AI specialists. They need a framework that makes possibilities visible, a language that feels accessible and a process that turns ideas into something actionable.
Understanding these distinctions is vital. The journey to effective AI adoption is not about following trends or chasing hype; it’s about making technology work the way that people work.
The gap between AI hype and practical adoption is real, but it isn’t a reason to stand still. Organisations that succeed with AI will be the ones that start by asking the right questions, with the right people in the room, and move forward in a way that reflects their reality.
You don’t need to reinvent yourself to work effectively with AI. You need a method that respects your experience, your responsibilities and your people. The technology will keep evolving.
The pressure to act will continue. But you don’t have to navigate it alone. The bridge is there. You just need to step onto it.
