Strategies for adopting AI in your organisation
15 April 2025
AI’s promise is enormous - from supercharging productivity to reimagining entire business models. But if you're like many organisations, you're still figuring out how to go beyond experiments and pilots to realise AI's full value.
The good news? You're not alone. The challenge of scaling AI is shared across industries, and there are emerging best practices to guide the way. Whether you're just dipping your toes in or aiming to reinvent your value chain, here are some key strategies to consider on your AI journey.
Start with intent, not just interest
It’s easy to get swept up in the hype. But real transformation starts with clarity: What problem are you trying to solve? What value do you hope to unlock?
According to the World Economic Forum, organisations in the early stages of AI adoption often fall into the “thousand flowers bloom” trap - lots of disconnected experiments that don’t ladder up to strategic goals. Instead, start by identifying high-impact opportunities where AI could improve decision-making, customer experience or operational efficiency. This is where a focused PoC (proof of concept) can make all the difference.
At Instil, we use our AI PoC Accelerator to help organisations set a strong foundation - by mapping workflows, validating feasibility, and defining what success really looks like before writing a line of code.
Validate fast, learn faster
You don’t need a perfect AI solution - you need one that works well enough to test. The key is speed and structure. A well-scoped PoC can quickly answer: Is this idea technically viable? Does it deliver value? And perhaps most importantly - will anyone use it?
By combining technical experimentation with user insight and business alignment, organisations can move from theoretical promise to tangible results. And if a PoC doesn’t work out? That’s not failure - it’s valuable learning that prevents wasted investment later on.
Scale with confidence, not assumptions
Too many AI initiatives stall at the PoC stage because no one asked the hard questions early on: What’s involved in scaling this? Do we have the infrastructure? How long until it drives real impact?
A great PoC should do more than validate an idea - it should de-risk the path to production. That means understanding the systems it needs to integrate with, the engineering effort required and the expected value it will deliver. Our PoC Accelerator bakes this into every engagement, helping you move from early wins to enterprise-scale AI with eyes wide open.
Build trust - inside and out
AI adoption isn’t just a technical journey - it’s a human one. For AI to stick, people need to trust it. That means investing in explainability, ethical design, and internal champions who can lead the change.
The World Economic Forum emphasises the importance of self-governance frameworks and cross-functional collaboration to embed trust at every level. Instil helps clients navigate these challenges, bringing design, engineering, and domain expertise together to build intuitive, human-centric solutions.
Ready to move from hype to impact?
AI adoption isn’t a one-off project - it’s a journey. But with the right focus, frameworks and partner, you can move fast, learn faster and unlock real value along the way.
If you're ready to explore how AI can power your business forward, our AI PoC Accelerator is a great place to start. Let's turn your ideas into impact - quickly, responsibly, and with clarity.
