By Folu Adebayo
A CEO said something to me recently that I haven’t been able to shake.
“We’re not really using AI yet we’re still exploring.”
It sounded reasonable. Measured. Even responsible.
But when we looked a little closer, AI was already there.
In reports being drafted.
In data being analysed.
In customer interactions being shaped.
In decisions being influenced.
Quietly. Informally. Unchecked.
This is the reality most organisations are now operating in.
AI isn’t something you switch on.
It’s something that creeps in.
The Gap Leadership Isn’t Seeing
Across boardrooms, the conversation is still framed as:
“Should we adopt AI?”
But inside the business, the reality is very different:
“We already have.”
Just not in a way that leadership can fully see.
• Teams are experimenting.
• Individuals are optimising their work.
• Departments are solving problems quickly.
And in doing so, they are introducing AI into core workflows — often without formal approval, oversight, or governance.
Not because they are reckless.
Because they are trying to be effective.
The Illusion of Control
Most organisations believe they have some level of control over AI.
There may be policies.
There may be guidance.
There may even be restrictions on certain tools.
But control is not defined by what is written.
It is defined by what is visible.
And in many cases, AI usage today is only partially visible if at all.
This is where risk begins.
The Risk Isn’t Where Most Leaders Are Looking
When AI risk is discussed, attention often goes to the models:
Bias. Accuracy. Explainability.
Important issues, certainly.
But in my experience, the more immediate risks are far more operational — and far less visible.
Data being entered into external tools without control.
Decisions being influenced without traceability.
Processes being automated without oversight.
Accountability becoming blurred.
These are not theoretical risks.
They are already happening.
Regulation Is Moving — But Not Fast Enough
Globally, regulators are beginning to respond.
The EU AI Act is introducing structured approaches to classifying AI risk, particularly in high-impact sectors.
In the UK, regulatory thinking continues to evolve, with a focus on sector-led oversight.
Across Africa, including Nigeria, adoption is accelerating rapidly, often ahead of formal regulatory frameworks.
This creates a tension.
Organisations are scaling AI faster than governance is being defined.
And governance is being defined faster than organisations are able to implement it.
Governance Is Not the Barrier, It’s the Enabler
There is still a perception in some leadership circles that governance slows things down.
In reality, the absence of governance slows everything down eventually.
Without it:
• Risk accumulates silently
• Confidence in decisions erodes
• Scaling becomes fragile
With it:
• Leaders gain clarity
• Risk becomes manageable
• AI can be deployed with confidence
Governance is not about restriction.
It is about control.
The Questions That Matter Now
The most important shift leaders can make is not technical.
It is perspective.
From:
“Are we using AI?”
To:
“Where is AI already being used and what does that mean for us?”
That means asking:
• Do we have full visibility of AI usage across the organisation?
• Who is accountable for AI risk at executive level?
• Can we clearly classify and prioritise AI-related risks?
• Are we able to explain how AI is influencing decisions?
If the answers are unclear, the issue is not capability.
It is awareness.
A Defining Leadership Moment
We are at a point where AI is no longer an innovation discussion.
It is an operational reality.
And like any operational reality, it requires structure, ownership, and oversight.
The organisations that will lead in this space will not necessarily be those who adopt AI the fastest.
They will be those who understand it the clearest.
Who can see it.
Who can manage it.
Who can take responsibility for it.
Final Thought
The real risk is not the AI you are planning for.
It is the AI that is already inside your business.
Working. Influencing. Deciding.
The question is not whether it exists.
It is whether you can see it.
And whether you are in control of it.
Folu Adebayo is an AI Governance and Enterprise Transformation Advisor, working at the intersection of technology, risk, and regulation. With a background in enterprise architecture and large-scale transformation across insurance, financial services, and the public sector, she helps organisations gain visibility and control over how AI is used across their business. Her work focuses on bridging the gap between AI adoption and governance, enabling leadership teams to scale AI safely, responsibly, and with confidence.
