Who's Running Your Business? What CEOs Need to Know Before Deploying Agentic AI
There's a moment in every transformation where you cross a line without realizing it.
Not dramatically. Not with fanfare.
Just quietly, one decision at a time, until something goes wrong and you look back and think: when exactly did I stop being in control of this?
That moment is arriving for a lot of leaders right now. And most of them don't see it coming.
Here's what it looks like.
From assistant to actor
For the past two years, most leaders have been using AI as a very sophisticated helper:
You ask it something.
It gives you an answer.
You decide what to do with that answer.
Human in the loop. Always.
That model is ending.
Agentic AI, AI that doesn't wait to be asked, but plans, decides, and acts autonomously, is being sold to SMBs right now as the next productivity frontier:
Schedule your emails.
Manage your supplier communications.
Handle customer queries end to end.
Execute transactions.
Update your CRM.
Run your procurement workflow.
No approval required.
And yes: some of it genuinely works. The technology is remarkable.
But MIT Sloan published research this month (March 2026) that every leader making these decisions should read before signing anything:
Their conclusion: agentic AI makes too many errors to be trusted with processes involving real money or real consequences, at least not without serious governance around it.
The hype is running significantly ahead of the reliability.
The question nobody is asking at the demo
When a vendor shows you an AI agent in action, the demo is always clean.
The agent schedules the meeting. Books the resource. Processes the request. Sends the confirmation.
Seamless. Impressive. Exactly what you needed.
What the demo doesn't show you is the edge case.
The supplier who sent an invoice with an unusual format. The client whose request sat in a grey area. The transaction that needed human context to be interpreted correctly.
In those moments, the moments that happen constantly in any real business, the agent makes a decision.
And here is the question nobody asks at the demo:
When it gets that decision wrong, who is responsible?
I'll save you the legal research:
Standard vendor contracts are written for passive software. They absolve the technology provider of responsibility for the actions of autonomous agents.
You authorised the agent.
You gave it access to your systems.
You removed the human from the loop.
In the eyes of the law, the liability is yours.
You handed it all your keys. The consequences come with them.
This isn't an argument against agentic AI
I want to be clear: I am not telling you to avoid this technology.
I learned AI when everyone said I was too old for it. I have seen what it can do when it is deployed thoughtfully. The leaders who figure out how to work well with agentic systems will have a real competitive advantage.
But there is a difference between moving boldly and moving blindly.
When I quit my job and my apartment in '89, left Europe and crossed the US in a junk car to reboot my life in San Francisco, I knew exactly about the risks I was taking. It was not recklessness. It was informed courage and the willingness to take over full responsibility for what I decided.
Right now, a lot of SMB leaders are being sold agentic AI systems without anyone walking them through what governance actually needs to look like:
Without anyone asking whether their security policies cover autonomous agents.
Without anyone mapping what happens when the agent encounters something it wasn't trained for.
That gap — between deployment speed and governance readiness — is where the liability lives.
What solid ground looks like here
Before you authorise any AI system to act autonomously in your business, three questions deserve honest answers:
1. What decisions is this agent actually making? Not what it's designed to do in the demo. What real decisions will it face in production, and do you understand how it will handle the ambiguous ones?
2. What happens when it gets something wrong? Not if. When. Who finds out? How quickly? What's the remediation path? If you don't have answers, you don't have governance, you have optimism.
3. Who in your organization owns this? Not IT. Not the vendor. A named leader with accountability for how the agent performs, what it accesses, and what boundaries it operates within.
These aren't just any bureaucratic checkboxes. They are actually the difference between AI that works for your business and AI that creates a liability your business carries alone.
Cut through the fog and get clarity
I've guided leaders through transformation for over 25 years. The pattern is consistent.
The ones who struggle aren't the ones who move too slowly. They're the ones who move without visibility, who let the technology outrun their understanding of what they've actually authorized.
The fog doesn't lift by itself.
But you can choose to see clearly before you move, rather than after something goes wrong.
Agentic AI is coming into your business whether you plan for it or not. Your team is already experimenting. Tools are already being connected to systems you don't know about.
The question is whether you're leading that, or finding out later.
If this is landing somewhere real for you, let's talk. One conversation. Thirty minutes. You'll leave with more clarity than you arrived with.
Let's cut through the fog.
Birgit
Your Transformational Ally
