Inside Track

Bringing employee voices into our AI decision-making The early phase of enterprise AI can be a little chaotic, and that’s OK. Teams experiment. Ideas are…

Every great recipe starts with the right ingredients. Skip one and you’ll get uneven results (or even something RAW—rushed, ambiguous, and wasteful). The same goes…

As we move from AI experimentation to enterprise-scale deployment, a new challenge is emerging: How do we govern thousands of AI agents, workflows, and copilots…

Network engineers at Microsoft rarely struggle because they lack the tools to do their work. The challenges appear when they need to access too many…

For years, organizations have treated data as a critical business asset. Here at Microsoft, data powers our reporting, supports our decision-making, and helps our leaders…

When a production incident occurs, the last thing engineers want to do is burn critical time gathering context when they’re better served solving the problem.…

Generating value by empowering your employees to build agents AI agents are an increasingly important way for organizations to scale knowledge, help their employees boost…

When we launched our Employee Self-Service (ESS) Agent to our more than 300,000 employees and contingent staff in the fall of 2025, we expected that…

Product managers operate at the intersection of customers, engineering, strategy, and execution. They translate customer needs into requirements, prioritize competing investments, coordinate and make trade-offs…

As more companies introduce AI-driven options to help their employees find information and accomplish common tasks, a question frequently arises: Which agentic tool is best…

For Microsoft sellers, one challenge remains remarkably consistent: The more time they spend on administrative work, the less time they spend with customers and making…

Two years ago, AI adoption at Microsoft felt kind of like pushing a boulder up a hill. We had the technology, the licenses, and the…