Why most enterprise AI projects never leave the pilot Stage and What the survivors do differently
Gartner projects 40% of enterprise apps will include AI agents by end of 2026. But most AI pilots never reach production. Here's the framework that separates survivors from failures.
Why do enterprise AI pilots fail when they move to production?
Prompt engineering has become a core skill. Context engineering designing the information environment for your AI is where enterprise programs win or lose.
MCP is enterprise infrastructure, not a developer convenience. Treat it with the same governance discipline as your API gateway or identity provider.
MCP achieved in 18 months what most standards take a decade to accomplish. But adoption has far outpaced governance. Here's why that's a problem and how to fix it.
Your AI Agents Are Burning Their Budget Before the First Message: 4 Advanced Patterns to Fix That
58 MCP tools = 55,000 tokens consumed before the first message. Here's how Anthropic solved this — and three other problems — with measured gains of up to 85%.
CTO, CDO, CAIO: Who Really Owns AI Strategy in Your Organization?
CTO, CDO, CAIO: three roles, one AI strategy. Who decides what — and why this confusion is silently killing your production deployments.