Choosing the Wrong AI Deployment Model Costs Enterprises Millions

Artificial Intelligence is no longer experimental - it's operational. But here’s the twist: most enterprises don’t fail at AI because of models… they fail because of deployment decisions. After deploying AI across 15+ enterprise environments, one pattern kept repeating like a costly echo in a canyon: 👉 Teams pick the wrong deployment model too early - and spend months (and millions) correcting