Choosing the Right Starting Point for Enterprise AI Agents with Copilot Studio and Microsoft Foundry Enterprise AI conversations often begin with a familiar question: Should this agent be built wit...

Recurring Failure We are entrusting AI agents with an increasing range of tasks, from preparing briefs to scheduling meetings, and from filing tax returns to building and debugging production syste...

Choose the right speech and voice model in Microsoft Foundry The practical approach to selecting the right model is simple: do not ask which speech model is best. Ask what the speech system must gu...

Enterprise AI has a trust problem, and it is not about fluency. A model will answer almost any question with confidence, whether or not it actually knows. The moment a legal or support team catches i...

As organizations move beyond simple Q&A copilots, a common challenge quickly emerges: single agents struggle to handle multi-step, cross-domain scenarios. In our work with customers using Microsoft C...

Today, Microsoft Foundry is announcing updated pricing for model deployments in the EU Data Zone and in Regional deployments outside the US, effective September 1, 2026, alongside a new APAC Data Zon...

Your AI agents are burning through tokens and budget because they're relearning your business context on every single task. Frontier Tuning changes that equation. Instead of injecting thousands of co...

Part 1 of this series made the case that AI observability is not just another dashboard problem. Once an agent is in production, the question is no longer can it respond; the question is whether it c...

Your AI agents are only as smart as the data they can access Enterprise teams building Copilot agents face a familiar challenge: connecting agents to organizational knowledge without compromising s...

Authors: Caroline Yeh, Ali Mahmoudzadeh, Morteza Ziyadi  If you've shipped an agent to production, or you're close, you've already made a quiet bet: that the evals you ran during development reflec...