According to MIT's "The GenAI Divide" study (NANDA initiative, 2025), 95% of generative AI pilots at companies deliver no measurable effect. The reason is rarely the model itself: companies succeed nearly three times more often when they buy specialized tools than when they build their own, and over half of budgets go toward sales and marketing tools — while the biggest lever sits in the back office, which barely gets invested in.

Even companies that have moved past pilots struggle: according to McKinsey (The State of AI, 2026), only 37% see a real effect on their bottom line — unchanged from the year before, despite more companies running AI in production. Only 6% count as "high performers" who redesign workflows around AI instead of just inserting it into existing processes.

Scalors addresses exactly these causes from day one: integration into existing systems instead of a silo, prioritization by impact instead of hype, and enablement that actually changes how teams work — as part of the methodology, not an afterthought.

Many AI consultancies are only a few years old themselves. They hand you a roadmap — and disappear before the first pilot ever reaches production. Scalors has been a software company since 2014. In that time, we haven't just designed more than 300 projects — we've built and run them, with teams in Germany, Europe, Ukraine, and the US.

Not a strategy firm that disappears after the roadmap, but a tech partner who delivers architecture, engineering, and operations themselves. Not a single AI specialist, but a broad tech stack — Software Development, Cyber Security, DevOps & Cloud, and IT Recruiting — behind you. Not theory, but pilots built on real production code — run afterward by the same team that built them.