AI Center of Excellence: Build One or Skip It?

The enterprise AI adoption curve has followed a predictable pattern: enthusiastic pilots, difficult scaling, and eventual rationalization. The pilots work because they have executive attention, dedicated resources, and forgiveness for imperfection. The scaling fails...

The Multi-Vendor AI Strategy: Avoiding Lock-In

The data quality problem is perennial and under-addressed. Organizations that would never make a strategic decision based on a bad spreadsheet routinely feed bad data into AI systems and expect good outputs. The principle is the same. The scale is different. The...

The IT Department’s Role in the AI Transition

Vendor promises and operational reality diverge most sharply at the integration point. The AI model works. The integration with existing systems, workflows, and data pipelines does not. Integration is where 60 percent of the budget goes and 80 percent of the delays...