How Microsoft builds and operates with AI

Overview

Practical, peer-peer guidance from our own frontier AI transformation

Microsoft operates the world's largest commercial cloud. We learn from real production work and refine what scales, then share those lessons so you can accelerate AI adoption.

Microsoft uses its own AI platform to build new AI capabilities, accelerate innovation, and migrate applications more quickly, turning internal production experience into reusable patterns that customers can also apply.

Get an insider’s view of how Microsoft engineers build AI applications and systems using agents across every phase of the software development lifecycle.

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Using Azure, we are also reimagining several core operational processes with agentic workflows. These human-led, agent-operated workflows enable us to significantly reduce manual efforts, improve response times, and enable more scalable, efficient operations.

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Learn from our own experience scaling AI across teams, processes, and ways of working. Drawing on lessons from real delivery, we share practical guidance to help you accelerate adoption, replicate successful approaches, and build the capability to scale AI across your organization.

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Our experiences show that AI transformation is forcing teams to become more disciplined about token economics, measurement, and ROI so they can understand the true cost of AI-enabled work and compare it against business outcomes.

Learn how to develop practical frameworks and metrics that help teams to translate engineering transformation into tangible business value.

Future of Dev Productivity