Implementations

A single application isn't transformation yet

The pilot worked. One department has a tool running, the team uses it, and the first result is visible. This is where many companies stop — they check the box for “we did AI” and go back to business as usual. But a single application is only proof that the approach works, not the change itself. The value of Applied AI grows as solutions accumulate department by department.

Jarosław Jaśkowiak
Jarosław JaśkowiakJuly 19, 2026 · 3 min read

Two traps after a pilot

After a successful pilot, companies fall into one of two traps. The first is stopping. One application works, so the topic is considered closed, and the team goes back to its daily routine. Six months later the tool is still running, but nothing new has been built, because no one had the time or the rhythm for it. The proof was there — the momentum dissipated.

The second trap is the opposite one. Excited by the first success, a company tries to do everything at once and ends up in a large transformation program — exactly where big implementations sink. Healthy growth runs between these two extremes: further implementations are built at a steady rhythm, one after another, each still grounded in what has already worked.

Two traps after a successful pilot: stopping entirely or overscaling into a big program; healthy growth keeps a steady rhythm between them.
Between stopping and overscaling lies a steady rhythm

What healthy growth looks like

Scaling implementations after a pilot takes several forms, depending on what's on the company's list. Sometimes it means clearing a backlog — during the pilot, a department wrote down a dozen or so further ideas and now works through them one by one, without a gap in between. Other times it means moving into a second department — production saw the result, so sales or service follows. And sometimes it's about maintaining what already works alongside building something new, because tools in production need to keep pace with changes in the process.

What ties them together is rhythm. Instead of bursts and standstills, the work runs month after month, at a pace the company sets itself and can adjust as circumstances change. That's what sustains the momentum a single implementation lacks, without loading the department's team with tasks outside its daily work.

No multi-year commitment

The most common brake after a pilot is fear of a long contract. A company doesn't want to sign up for a year of cooperation before seeing that the pace and quality hold up. That's why scaling implementations with me starts with a short minimum period and then runs month by month — it can be paused with a month's notice, no penalties. The decision to continue is made every month, based on what has actually been built, not once at the start, in the dark.

For manufacturing SMEs, there's one more thing. Scaling implementations falls within the scope of Dig.IT grant funding, so expanding the portfolio can be spread out with a subsidy covering part of the cost. How to combine the two, I explain separately.

Month-by-month growth: a short minimum period, a continuation decision every month, pause with a month's notice and no penalties.
A monthly rhythm instead of a multi-year contract

What's next

If the pilot worked in your company, the worst thing you can do is let the momentum dissipate. Start by writing down what else in that department, or the one next to it, is calling out for support — a pilot usually leaves that kind of list behind. The pace and shape of further work is matched to that list and to the company's capacity. What scaling implementations looks like as a package, in which pace variants and under what terms, I describe on its page.

See how Implementation Partnership worksBook a 30-minute consultation


Jarosław Jaśkowiak

About the author

Jarosław Jaśkowiak

Over 20 years in B2B and technology. I lead Applied AI implementations in mid-size manufacturing companies — from identifying where AI delivers the fastest return, to a working tool in a single department. I write about what actually happens on the delivery side, without the hype.

More about ARTECH CONSULT →

First step

Find out where AI will deliver the fastest return in your company

A free 30-minute consultation — a practical conversation about where to start and what pays off first.