The real challenge of enterprise AI is no longer the model, but how it is operated
In enterprise AI, the constraint has shifted from model capacity to how you run agents day to day: context, permissions, traces, security, and cost control. This ActuIA analysis explains how Google Cloud, AWS, Microsoft, and Databricks all converged on similar operating primitives in 2026–agent runtime and memory, behavioral observability, cryptographically attested agent identity, and a full view of agent cost beyond the model API. If you’re thinking about how to operate AI agents securely and cost-effectively, FUSION 1 can help you translate these ideas into a practical roadmap that fits your budget, governance requirements, and existing tools. Read the article for a decision framework across architecture, governance, budget, business context, and sovereignty, then connect with us to talk through what it means for your environment.
