The company that implemented technology and lost its team in the process

A few years ago I gave a talk at a university in Bogotá about artificial intelligence. The central question was: should you fear this change, or embrace it as an opportunity?

My answer then is the same as today: it depends on what you do with the people while the technology arrives.

What has changed is that I now see it in real time, in conversations with executives in Europe who are living through exactly that.

There is something nobody tells you when you implement technology in your organisation.

That the tool is going to work.

That the problem is going to be something else.

I see it in conversations with executives who have spent months trying to understand why their teams are not using the tools they bought. The licences are active. The training was done. The internal announcement was sent. And six weeks later, adoption is inconsistent, resistance is silent, and results are not coming.

The technology works. The problem is somewhere else.

Over the last few years I have brought together professionals from more than 25 nationalities in a single space. Different languages, different ways of understanding work, authority, trust, and time. What I learned in that process I did not find in any digital management manual:

Tools do not transform teams. The people who understand them and know what they are for in their real work do.

Efficiency has a dark side we rarely name.

We are living in a moment where the speed of technology is tempting. Artificial intelligence can do in seconds what would take a team hours. It can scale without friction, without alignment meetings, without the communication cost that every human team carries.

And that is precisely where the miscalculation happens.

When an organisation implements technology looking only for efficiency, it starts to see people as the bottleneck. As what slows the machine down. And that shift in perspective,  subtle at first, transforms the culture from the inside out.

The team feels it before the numbers show it.

What artificial intelligence cannot do alone.

When listening to executives in the moment they realise their team executes, but does not believe. It follows the processes, but does not understand why. It uses the tools when required, but does not integrate them as part of its way of working.

That is not a technology problem. It is a human architecture problem.

Artificial intelligence can automate processes, analyse data, reduce time. All of that is real and valuable. But it cannot create the context that makes a person understand why their work matters within a larger system. It cannot build the trust that makes a team share what they know instead of protecting it. It cannot replace the clarity that only comes from leadership that communicates with purpose.

That is human work. And it is not optional.

The question you should ask before implementing any tool.

Not “what can this technology do?”

But “is my team prepared to use it with criteria?”

Prepared does not mean knowing which buttons to click. It means understanding what problem that tool solves in their specific work. It means having space to ask questions and make mistakes without that being read as resistance. It means trusting that leadership made that decision thinking about the team, not just about costs.

When that preparation does not exist, the most advanced technology becomes noise.

The organisations that will lead the next decade are not the ones that implement the most technology.

They are the ones that best integrate technology with the people who use it.

The difference is not in the tools. It is in the system that holds them: leaders who explain the why before teaching the how, teams with clarity about their role in the process, structures that allow adaptation without losing direction.

I have built ecosystems of thousands of people with limited resources. What I learned is that what makes something work at scale is not the technology you use. It is the clarity you have about what it is for, and the care with which you prepare the people who are going to use it.

Artificial intelligence is not the future of organisations. The people who know how to use it intelligently are.

And that starts with leaders who understand that implementing is not transforming.

Thanks for reading me,

Jhamile Abuabara

Fractional Executive for Scale-ups That Lose Culture While Scaling · Organizational Architect · Creator of the H.T.G.C.™ Method · LATAM · Europe



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