Business leaders are facing a familiar challenge at an unfamiliar scale.<\/p>\n\n\n\n
Every organization is being asked to move faster as markets change quickly, customer expectations continue to rise, and technology advances at a pace that can feel overwhelming. Teams are expected to deliver greater results, often with the same resources they had before.<\/p>\n\n\n\n
AI is helping organizations meet those expectations. Some of the strongest examples I’ve seen revolve around scaling the judgment, strategy, and success measures that strong performers already set for themselves and their teams. AI agents apply that expertise consistently across a growing volume of work, helping them deliver more without sacrificing quality.<\/p>\n\n\n\n
We\u2019ve seen it firsthand on my team. As innovation cycles have accelerated, product launches have increased from a quarterly cadence to weekly\u2014and sometimes even daily\u2014events. Our teams are now supporting a growing volume of launches, up to 150% year over year.<\/p>\n\n\n\n
To relieve the pressure, we\u2019ve looked for places where AI can help teams at Microsoft find the right information faster, reduce repetitive coordination, and bring more consistency to work that depends on shared context. To do that, we used Microsoft Foundry<\/a>, Microsoft’s platform for building and managing enterprise AI applications, to create agents grounded in business knowledge and embedded in the flow of work, helping our teams operate at greater scale while staying focused on the work where their expertise matters most.<\/p>\n\n\n\n