Hoarding AI expertise in a central silo is self-destruction

Your AI strategy is likely funding failure.

This is not an opinion. It's a statistical reality.

Gartner predicts 30% of generative AI projects will be abandoned after the pilot phase this year alone¹.

The point of failure is rarely the technology.

It is the organizational model deploying it.

Companies are building digital-era solutions on an industrial-era chassis. They create a centralized "AI Center of Excellence"—an intellectual assembly line where business units wait for solutions.

This is The Expert Trap.

It creates bottlenecks. It stifles innovation.

It also ignores the real crisis: 79% of employees lack basic AI competencies to begin with². This reveals the true deficit is not in technology, but in human capability.

Hoarding expertise in a central silo is strategic self-destruction. It creates dependency, not resilience.

We reject this model.

Our philosophy is simple: Everyone builds.

We equip every person in our company to build their own AI solutions. This isn't just about culture; it's about sound business logic. Companies that empower their people this way can cut development costs by up to 70%³.

This presents a fundamental choice for leadership.

Are you building a company that depends on a handful of experts?

Or are you building a resilient organization where everyone is empowered to solve their own problems?

If your AI investments aren't building capability across your entire team, you're not innovating.

You're just getting better at wasting money.

Ready to build real capability?

¹ Gartner, Inc. (2024). Forecast: At least 30% of generative AI (GenAI) projects will be abandoned after proof of concept by the end of 2025.² Stifterverband & McKinsey & Company. (2023). AI skills in German companies.³ Forrester Research. The Total Economic Impact™ Of Low-Code Platforms.