Microsoft has unveiled Frontier Tuning, a new service designed to enhance AI systems by teaching them how enterprises function through continuous learning from workflows, tool interactions, and user feedback. This service, introduced at Build 2026, aims to create AI models that not only access data but also adapt to organizational processes and decision-making patterns. Unlike traditional training methods that rely on curated datasets, Frontier Tuning utilizes a guided reinforcement learning environment that captures real-time behavioral signals, establishing a feedback loop between enterprise activities and AI performance. Experts like Ashish Chaturvedi from HFS Research emphasize that this service adds valuable context to AI systems, enabling them to produce responses that reflect the organization's unique operations. However, there are concerns about the complexity of Microsoft's AI offerings, with calls for clearer guidelines to prevent confusion among CIOs. Currently in private preview, Frontier Tuning is expected to be available through Microsoft’s Copilot Studio and Foundry soon.