INSIGHTS
Practical perspectives on AI strategy, agentic operations, and model sovereignty — for the leaders responsible for making it work.
AI vendor lock-in runs deeper than database migrations or API rewrites. It embeds in fine-tuned weights, embedding spaces, and workflow logic encoded around specific model behaviors.
Enterprises apply rigorous governance to every critical technology layer, except the one that reasons and decides. That oversight has compounding consequences.
AI agents can execute end-to-end workflows without a human touch. But who owns the process? Accountability, exception authority, and governance don't transfer automatically.
When an AI agent hits the boundary of its confidence, what happens next? Most enterprises haven't answered that question. The handoff is where agentic systems succeed or fail.
The proof of concept worked. Then full-scale deployment started. Here's what actually changes, and why most of the hard problems aren't technical.
Most enterprises track AI ROI. Few track the hidden cost of keeping all those systems connected, versioned, and maintained. Integration debt is real, compounding, and largely invisible until it isn't.