🏅Wiseboard achievements 

+4 new advising projects: AI, Sales, and Delivery tracks.
+7 new advisors joined. Our pool now totals 292 expert advisors.

Let’s get to it.

💻 How are AI development pages performing?

Lately, I’ve noticed a trend. Maybe you have too. Many tech companies have added an “AI Development Services” page to their website and quietly hope that leads will roll in. 
But instead of new prospects, they get several confused inquiries. At best.
Here is what the founders say in their defense:
💬 “We added an AI page to the site, but we don’t have any leads.”
💬 “We’re deploying AI agents and launching outreach campaigns, but conversions rarely go beyond an initial call or the deal sizes remain small.”
💬 “We can build AI, but clients don’t really know what they need. And honestly, we don’t know how to sell it.”
💬 “AI is changing too fast. We’re not sure what exactly to build or package.”
So why aren’t results coming in?
To answer this question, I asked our AI Practice Leader, Alex Sharko.
“The real blocker is weak positioning and poor GTM. If the offer is vague, generic, or sounds like everyone else’s...
-> You’ll struggle to get past the first call;
-> Clients won’t “get” what you do;
-> You’ll burn leads that could’ve converted with a better message."
And this isn’t a technology problem. It’s a marketing one. Until it’s fixed, even the best AI solution will sit on the shelf.

But maybe AI is another hype cycle, and all you need to do is wait it out?

Not quite.

📈 Quick market reality check

There’s a lot of talk about AI being “the next bubble.” But investments in AI say otherwise.

In 2024 alone, global AI investment reached $252.3 billion.

From the Artificial Intelligence Report 2025 by Stanford University

AI projects on GitHub grew from 1,549 in 2011 to around 4.3 million in 2024.

From the Artificial Intelligence Report 2025 by Stanford University

AI isn’t a passing trend. It’s a fundamental shift in how companies operate. 
But you won’t make a profit on AI with custom assistants or chatbots. 
That space is already overcrowded with:
● Ready-made agents and chatbots● Low-code platforms. If you offer the same thing but custom-built, don’t be surprised that there is nobody to buy it. 
You need real business value, strong positioning, and an efficient GTM strategy. 
We got an input from our AI Practice Leader, Alex Sharko, on where AI money is going.
His advice: Pick your niche and double down on fast-growing segments like data management, healthcare, customer support, fintech, and cybersecurity.

From the Artificial Intelligence Index Report 2025 by Stanford University

So, what should you do about AI beyond generic custom AI development offerings?

📄 Case in point → Nova Poshta

I’ve recently spoken with the team at @Nova Poshta Digital, Ukraine’s largest private logistics company. They didn’t rush to “AI-ify” everything at once. They started small, right where the internal friction was highest.

First, they automated routine service desk requests like time-off approvals or internal orders. With a strong foundation in data science and forecasting, they’re now building internal AI agents to support their logistics and customer service teams.

It’s an example of how large service businesses can adopt AI gradually and make it useful.

The takeaway?

Start where the pain is. Solve it. Then build from there.

📺 Wiseboard Online Talks

What we talked about:
● How to escape the commodity trap and build a differentiated offer● 5 positioning strategies and the trade-offs of each path● Examples of companies well-positioned for AI● and more

What we will talk about
● How to research, adopt, and package AI solutions that actually deliver value● 4 practical strategies for adopting AI across your company operations● Creating proof-of-concept demos for clients while boosting internal efficiency● and more