If you think you have any idea of the scope of possibilities in an enterprise setting, you’re probably still drastically underestimating it.
The truth is, most conversations about AI in business are missing the point — by a few hundred miles.
We see headlines about failed adoption, security breaches, compliance breakdowns, and misuse. But these aren’t the cause of the problem. They’re the symptom.
Of course adoption fails if the users don’t understand the scope of what’s possible.
It’s a raw analogy, but imagine giving a child a loaded gun with no training or context. The outcome is unlikely to be positive. The issue isn’t the tool — it’s the absence of understanding, responsibility, and systems.
Tech teams have built extraordinarily powerful tools — effectively adding a scope and laser sight to that same weapon. Meanwhile, boards, groups, and committees are chasing “the edge.” They’re right to chase it; genius requires risk. But the problem is that enterprise isn’t a lab. Theory doesn’t outweigh reality, and culture doesn’t shift because a memo said it should.
AI has one major flaw: it doesn’t understand risk. It operates with a built-in positive bias — an optimism that everything is possible and solvable. That’s inspiring, but in enterprise, it’s also dangerous if not managed.
My work has been focused on fixing that disconnect. I’ve been implementing small, intentional changes that do three things:
- Encourage adoption by creating trust and lowering the barrier to entry.
- Deliver personal wins and wow moments so individuals see the benefit, not just the business case.
- Make measurement straightforward so ROI becomes visible and undeniable.
Because ultimately, adoption isn’t the goal — impact is.
And impact is only real when it shows up in ROI.
That’s what we do at Renew. We don’t just talk about AI transformation — we build systems that think, scale, and deliver measurable results.
Our approach is grounded in reality: start small, prove value fast, and let ROI speak louder than theory. Because sustainable adoption doesn’t come from hype or headlines — it comes from clarity, confidence, and capability built one workflow at a time.
If your organisation is ready to move beyond experimentation and start seeing real return on AI, book a discovery call.
