{"id":7751,"date":"2026-02-25T08:00:00","date_gmt":"2026-02-25T16:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/microsoft-cloud\/blog\/?p=7751"},"modified":"2026-02-23T09:54:42","modified_gmt":"2026-02-23T17:54:42","slug":"how-to-bring-human-expertise-and-ai-together-3-impactful-initiatives","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/microsoft-cloud\/blog\/2026\/02\/25\/how-to-bring-human-expertise-and-ai-together-3-impactful-initiatives\/","title":{"rendered":"How to bring human expertise and AI together: 3 impactful initiatives"},"content":{"rendered":"\n

AI is redefining research, content maintenance, and the global learner experience at Microsoft Global Skilling<\/span><\/h2>\n\n\n\n

Microsoft Global Skilling helps people and organizations build the skills they need to thrive in an AI\u2011powered world. Within Global Skilling, the Learning Lab is the innovation engine\u2014a team focused on designing, testing, and evolving modern learning experiences to continuously improve how skills are developed, validated, and applied in the flow of work.<\/em> <\/p>\n\n\n\n

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AI is reshaping how organizations work. Teams aren\u2019t just adopting new tools\u2014they\u2019re also figuring out how those tools fit into existing workflows, roles, and expectations, all while trying to keep pace with business demands in a rapidly changing landscape. It\u2019s a heavy lift. As the leader of the Learning Lab team, I\u2019m navigating these same pressures, along with my team members, as we balance day-to-day delivery with the need to evolve our processes in real time. That\u2019s why we\u2019re embedding AI assistants and agentic workflows into internal processes\u2014using them not only to work differently but also to learn<\/em> differently. Through experimentation, we\u2019re uncovering new ways to streamline operations and improve the learner experience for our global audience.  <\/p>\n\n\n\n

This blog highlights three of our team\u2019s most impactful AI initiatives that could also benefit your organization. Inspired by these projects, we developed A Practical Guide for Bringing AI into Your Business Processes<\/a>, featuring real-world examples and actionable ideas for integrating AI and human expertise across your organization. <\/p>\n\n\n\n

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A Practical Guide for Bringing AI into Your Business Processes<\/h2>\n\n\n\n

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3 impactful AI initiatives leading the way<\/span><\/h2>\n\n\n\n

1. Reducing time-intensive coordination to optimize research <\/h3>\n\n\n\n

The challenge of coordinating teams for research  <\/h4>\n\n\n\n

Before any learning materials can be built, our team conducts extensive research to understand new technologies, identify required skills, and validate what learners need. This early-stage analysis requires input from multiple stakeholders and a deep review of internal documentation, product roadmaps, and existing training materials.  <\/p>\n\n\n\n

How AI is helping accelerate our research tasks and optimize cross-team input <\/h4>\n\n\n\n

One of the biggest bottlenecks for our research workflows has been the time it takes to synthesize information and align teams around what a course should achieve. To improve this, we began experimenting with Researcher in Microsoft 365 Copilot<\/a> and persona-based agents to support our research and planning stages. Our new process looks like this: <\/p>\n\n\n\n