Why doing nothing with AI is no longer an option

Everyone feels we need to do something with AI.

But how?

I attended a masterclass about AI. A room full of people I know well from my work: business owners, commercial directors and managers who carry daily responsibility for growth, employees and results. Nobody was there for show. It was substantively strong, with good instructors and a clear narrative. There was attentive listening, sharp questions asked and visible inspiration sparked.

What particularly struck me wasn’t so much the technology itself, but the feeling in the room. That shared energy. The collective understanding that something fundamental was being touched upon here. AI didn’t feel like a hype or a fun experiment, but as something that touches the core of how organizations work, decide and grow: this requires action..

And yet I also know: tomorrow these people will be back in the office as usual. Emails, meetings, proposals, clients. The daily operation that demands attention, because that’s what makes the difference today and brings in the money. The inspiration from the day before then quickly collides with the reality of full agendas and ongoing responsibilities.

That tension stayed with me.

What I saw there, I see in many organizations. Not only in large companies, but especially in SMEs.

The urgency around AI is there.
The intention too.
But the space is lacking.

Not because people don’t find it important, but because everything is equally important.

• The commercial engine must keep running.

• Employees have their hands full with targets and clients.

• Systems work “well enough,” but need attention.

• Time to really dig deep is scarce.

AI quickly starts to feel like something extra on your plate. Something you’ll get to when things quiet down, which never happens.

And meanwhile the discomfort grows. Because everyone reads the same reports. Hears the same stories. Sees competitors experimenting. Or at least claiming they do.

Not good.

Doing nothing feels increasingly uncomfortable

What makes this difficult is that standstill rarely goes spectacularly wrong. It happens slowly. Almost invisibly.

You don’t miss revenue from one day to the next.
You don’t lose customers because you’re not using AI today.

But you do notice that:

• processes remain sluggish,

• decisions are made mainly on experience and gut feeling,

• insights come late,

• capacity remains a structural bottleneck.

And somewhere there’s that little voice: if we keep postponing this, we’ll fall behind.

What I often see, and what I also felt in that masterclass, is that organizations inadvertently set the bar too high for themselves.

The thinking goes roughly like this:

“We first need to understand what AI precisely is."
"We need to know which tools exist."
"We need to free someone up internally."
"We need to do it properly, otherwise it makes no sense.”

And before you know it… nothing happens.

Not from unwillingness, but from caution. Even from responsibility.

But AI isn’t a subject you need to fully comprehend before you can work with it. Just as you don’t need to be a car mechanic to drive a car. Or a data analyst to make good commercial decisions.

The problem isn’t lack of intelligence or ambition.
The problem is that many organizations try to do this alone.

AI doesn’t need to start big, organization-wide or perfect

What’s becoming increasingly clear is that successfully starting with AI rarely begins with large programs or organization-wide transformations.

It starts small. Contained. Concrete.

If you want to start somewhere, the commercial organization seems from my perspective as an entrepreneur a logical and suitable starting point.

Why? Because there:

• processes are tangible,

• data is already present,

• impact becomes measurable,

• and time savings are directly felt.

Marketing, sales and customer success together form a good starting point. Not because AI is “hip” there, but because improvements quickly become visible in daily practice.

Not by changing everything at once, but by looking in a targeted way at:

• where do people get stuck?

• where is insight lacking?

• where is a lot of repetitive work being done?

• where do we make decisions with too little information?

These aren’t futuristic questions. These are daily realities.

What distinguishes organizations that do take steps isn’t that they figure everything out themselves. It’s that they recognize this is a new domain and that collaboration makes sense.

Not because you can’t do it, but because you spend your time better on things your organization needs to be strong at now.

Deploying AI requires:

• direction,

• containment,

• realistic expectations,

• and someone who helps make it concrete.

Without hype. Without complexity that delivers nothing.

Why we started AI-in-Sales

AI-in-Sales didn’t arise from fascination with technology, but from this pattern we saw.

Organizations that:

• feel they need to do something with AI,

• think seriously about it too,

• but get stuck between urgency and daily reality.

We believe AI only becomes valuable when it:

• connects to existing processes,

• is understandable for people,

• and demonstrably contributes to better commercial results.

That sometimes starts with inspiration. Sometimes with insight. Sometimes with a few targeted improvements. But always with a realistic starting point that fits where an organization stands now.

Not everything has to happen at once. But doing nothing is certainly not an option.

An invitation

This story isn’t a call to do everything differently tomorrow.
It’s an invitation to take the subject seriously without making it bigger than necessary.

If you recognize the feeling:
“If you feel you need to do something with this, that it could be the solution itself, but that time, knowledge and space are lacking to get it off the ground,” ,
then you’re not alone.

On this website we share how organizations deploy AI concretely, responsibly and workably within their commercial process. For inspiration, for exploration, or as a starting point for collaboration.

Not because it has to.
But because we want to move forward.