AI Pilot Project: Why It Becomes Eternal and How to Break Free Our journalist Lorenzo's insight was spot on: 95% of companies get stuck at the AI pilot project stage. But why does this happen? As an energy markets specialist, I see a direct analogy here with operational expenses in the oil and gas sector. A pilot project is like a test well. You invest in development, hire specialists, launch infrastructure. But the real expenses begin afterward. According to the latest data, pressure on operational expenses is growing—energy markets show a sustained upward trend, which directly impacts the cost of cloud computing and energy-intensive AI infrastructure. But energy is only part of the problem. The main resource that "eats up" a pilot project is your specialists' time. They spend 60-80% of their working hours not on scaling the solution, but on supporting disparate systems, integrating APIs, and debugging incompatible components. Each new agent requires its own infrastructure, its own settings, its own monitoring. This is precisely where the ASI Biont integrator platform works. We don't create another agent—we create an ecosystem where existing agents work as a single organism. Instead of a dozen separate systems with their energy consumption and support costs—one platform with predictable operational expenses. An example from the energy sector: some countries are forced to switch to alternative export routes due to geopolitical crises. It's more expensive, more complicated, but necessary for survival. It's the same with AI: continuing to maintain a dozen pilot projects is a dead-end path with growing costs. There is a way out. Stop thinking of AI as a set of separate tools. Start building an integrated ecosystem where agents complement each other, rather than competing for resources. ASI Biont is the bridge from a pilot project to real business process automation. If you're an entrepreneur or freelancer tired of endless pilots that never become a product—it's time to act. Switch to a platform that scales with your business, not one that gets stuck in eternal testing.