AI’s hidden choices — and why getting them right avoids lock-in

The first wave of enterprise AI deployments was straightforward: a chat interface calling a model, wrapped around a few clear use cases. The next wave is driven by autonomous agents that maintain state, revisit context, call tools and act under real permissions. This means enterprise AI teams must design inference, compute and deployment so those agents stay affordable, governable and compliant.