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Enterprise software buying has changed. A few years ago, most companies picked a vendor based on hourly rates and a portfolio page. The stakes are higher now, especially where AI is involved. Gartner predicted that at least 30% of generative AI projects would be abandoned after proof of concept by the end of 2025, mostly due to poor data quality, unclear business value, and rising costs. With failure rates like that, choosing an AI software development company is a risk decision, not a procurement task.

Gleb Lesnikov has been developing the system behind Dodo Pizza, an international fast-food chain, since joining the company in 2015. Over the years, the local business turned into a company running over 1,600 restaurants. When Dodo expanded rapidly, Gleb had to take key technical decisions that allowed the company to scale and succeed. Looking back, he reflects on the period when the company moved to a microservices architecture and explains how he managed to solve problems that could have caused the company to collapse.

When people think about why small contractors struggle to grow, they often point to labor shortages, rising material costs, or increased competition. Those challenges are certainly real, but many growing businesses face another obstacle that receives far less attention: operational friction. Small inefficiencies repeated dozens of times each week can quietly limit revenue, reduce close rates, delay projects, and consume valuable staff time. As demand increases, these bottlenecks often become more expensive than the business owners realize.

Artificial intelligence is rapidly becoming one of the most valuable operational tools available to contractors. While much of the public conversation focuses on AI generating text or images, construction companies are discovering far more practical uses. From the moment a homeowner requests an estimate until the final invoice is sent, AI is helping contractors reduce administrative work, improve communication, and keep projects moving more efficiently.

Artificial intelligence is quickly moving from a futuristic concept to a practical tool for modern business. For entrepreneurs and investors, AI offers a powerful way to cut through the noise and identify genuine investment opportunities. Instead of relying solely on intuition and manual research, you can now use AI to analyze complex data sets, predict market shifts, and pinpoint ventures with the highest potential for success.

Growth tests financial discipline long before most owners expect it. More customers mean heavier billing, tighter payroll timing, fuller vendor files, and greater pressure on tax records. A small internal team can manage early volume, yet rising activity often exposes gaps in reporting and review. Outside accounting support helps a company maintain accurate books, monitor cash flow, and make decisions based on current figures rather than rough estimates.

A practical guide to building an IT roadmap that aligns technology, security, budgets, and growth priorities for small businesses.

Selecting the optimal physical server location is one of the most critical infrastructure decisions for an expanding enterprise. For digital businesses serving European users, the Netherlands has firmly established itself as the digital gateway to the continent. Situated at the very core of Europe's telecommunication crossroads, Dutch infrastructure offers unprecedented network connectivity, stringent legal data protections, and low-latency throughput.

Phone-based customer service still has a place in the business world, especially amongst a very specific audience segment. The older generation of consumers will always prefer to pick up the phone and speak to a human being, and neglecting this fact will mean that you're neglecting this part of your audience. That's a considerably problem if your target market involves people who are 40+ years of age.

Artificial intelligence has evolved from an emerging technology into one of the biggest drivers of innovation across the global technology industry. In 2026, AI is influencing everything from smartphones and laptops to cybersecurity, cloud computing, enterprise software, and digital productivity tools. Companies worldwide are investing heavily in AI powered products that improve efficiency, automate repetitive tasks, and deliver more personalized user experiences.