How are you rethinking your organizational structure to support the integration of agentic AI as a core part of how the business operates?

There is a lot of perspective on what this will mean at Microsoft on our Frontier Firms report which includes human/software employees https://www.microsoft.com/en-us/worklab/work-trend-index/2025-the-year-the-frontier-firm-is-born?msockid=2daacff9324b69c73227dac133da681f

To support the integration of agentic AI as a core aspect of our operations, we're restructuring by forming dedicated cross-functional teams that blend AI expertise with business insights, fostering collaboration and agility. 
We're establishing roles focused on AI governance, ethics, and continuous learning to ensure responsible deployment, while encouraging a culture of innovation through training and flexible workflows. This reorganization aims to embed agentic AI deeply into decision-making and operational processes, enhancing efficiency and competitiveness while maintaining ethical standards.

From the comments below, other organizations are definitely further ahead in terms of AI adoption. We are evaluating the benefits and RoI of the use of Co-Pilot with a desire to get real quantifiable results that are validated by the Business (not IT). The future use of Agentic AI will likely first occur in our Service Desk operations. I look forward to learning more from this Community on how to apply best practices in this domain.

Previously the solutions function in our organization sat under Account Management while IT/Engineering and Product were responsible for product development for the teams that support our clients. Now Solutions sits directly under the Enterprise Growth as things are moving too quickly with our clients to wait on development in a traditional manner, rapid iteration and experimentation to provide true agile support of our clients has to come from those more closely involved with their needs. We are able to more rapidly innovate and incorporate tools that allow our operations team keep pace.

We have been encouraging all users to use any AI that makes them productive in sandboxes and continually coming back together to see what worked and what didn't. I think experimentation is key but it is already helping to make existing staff much more productive than they were before. Depending on the area we are seeing anywhere from 50% to 200% improvements in our KPIs.