Microsoft Decision-1 brings typed judgments to Foundry workflows

A model for bounded judgments

Microsoft-Decision-1 is available in Microsoft Foundry. Microsoft's deployment guide documents a model that accepts text or JSON and answers typed questions about that input.

It returns numerical decisions rather than a written rationale. The supported question types cover a binary probability, a choice among defined options, and a score on an ordered scale. The guide identifies routing and classification as uses, alongside ranking, grading and selecting a model or tool for a request.

That makes it relevant to developers who need a predictable decision shape inside an application. Franklin's interpretation is that the first useful experiment should focus on one bounded judgment, such as choosing which support queue receives a ticket. There is no need to make that experiment responsible for the entire customer conversation.

Evaluate the decision you intend to automate

Microsoft recommends validating the model on representative labeled examples. In its sample, the guide measures classification accuracy and request latency, then instructs developers to replace the small example set with their own workload.

The practical measure is whether your application makes acceptable decisions at the confidence threshold you choose. Include ambiguous tickets and a route for cases that should receive another evaluation. If changing an option's wording changes the result, that deserves attention before automatic routing is enabled.

Scores come with limits

Microsoft warns that wording and option order can affect scores. The guide also describes bias, outdated knowledge and possible errors when the model acts as a safety filter. It recommends meaningful human review for consequential decisions about people.

The documentation does not establish a universal speed multiplier for your deployment. Treat a headline comparison with another model as a separate benchmark question. For a pilot, record accuracy and latency together, and review the failures that would cost your team the most. A numerical answer makes integration simpler; it still needs a policy for uncertain or incorrect judgments.