You may have missed this new announcement, but I found it especially interesting. It is called Frontier Tuning, and it is now available in private preview. Frontier Tuning is a new approach that helps AI work the way a specific business operates by using reinforcement learning with that organization’s own data, processes, and conventions. In simple terms, it teaches an AI model how your organization works; not just what information it has.
Today, most AI systems primarily search across documents, emails, websites, and databases to support question-and-answer experiences. However, they still do not understand how an organization makes decisions. Microsoft uses a reinforcement learning environment, or RLE, which works somewhat like a simulator. In that environment, the AI repeatedly practices tasks and receives feedback on what strong outcomes look like.
During RLE training, the system learns from workflows, tool usage, and evaluation signals without affecting production systems. During RLE inference, it can compare multiple frontier and fine-tuned models across different reasoning paths to identify stronger candidate responses. The system is designed to keep improving through continued interactions.
An important point is that Microsoft 365 Copilot’s LLMs are not learning from customer data to improve the foundation models. Frontier Tuning is different: it allows a customer to intentionally train and optimize AI behavior within its own secure tenant using its own data, workflows, and feedback.
Reference: https://devblogs.microsoft.com/microsoft365dev/frontier-tuning-teaching-ai-to-work-the-way-you-do/
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