The Architecture of Efficiency: How Context Engineering Is Solving the Enterprise AI Agent Cost Crisis
Executive Overview As enterprise deployments of artificial intelligence transition from isolated proof-of-concept pilots to mission-critical multi-turn agent networks, technology executives are encountering a severe architectural bottleneck: the compounding expense and degrading response quality caused by unmanaged context windows. While individual generative inference calls have grown progressively cheaper, multi-turn AI agents—which execute sequential tasks by carrying…
