FLASH: A Reliable Workflow Automation Agent
LLM-based agents usually have challenges in reliably executing multi-step tasks even with detailed instructions. This is because of the error propagation nature of step-by-step agent models. We have developed FLASH agent to address these challenges through innovative reasoning and reflection processes. In our real-world case studies, FLASH demonstrated superior accuracy in customer support, incident management and business workflow automation.
研究组
Bridging Applied Research with Real-World Systems & Scenarios to define the future of Enterprise Productivity The M365 Research Agentic Innovation team bridges applied research with real-world systems and scenarios to define the future of enterprise productivity. Our efforts are organized…
Pioneering advancements in AI and Systems
Driving step‑function improvements in Service reliability, Dev productivity and Fleet efficiency through Agentic AI research and cross‑stack innovation. The AIOps Research group at Microsoft focuses on designing and productizing novel solutions to the hardest problems in Cloud Operations and Enterprise-scale…