The New AI Stack: Part 3
Your AI agents are sabotaging your business.
Part 3 of a 5-part series on building enterprise infrastructure for autonomous AI
The Business Alignment Problem That's Breaking Enterprise AI
Here's the uncomfortable truth most consultants won't tell you: your AI agents are probably working against your business logic, not with it.
I've seen it countless times in boardrooms across Europe and North America. Companies spend months implementing sophisticated AI agents, only to discover they're optimizing for the wrong metrics, making decisions that conflict with business priorities, or creating workflows that bypass critical governance checkpoints.
The problem isn't the AI—it's the architecture. Most organizations approach agent design as a technical problem when it's fundamentally a business architecture challenge. You're not just connecting AI to tools; you're encoding your business intelligence into autonomous systems.
This is why 73% of enterprise AI initiatives stall in Part 2's integration hell. Even when you solve the technical connectivity through MCP, you still need agent networks that understand how your business actually operates.
