Shared context
Make system state, uncertainty, and intent visible enough for teams to coordinate.
Nathan Schurr
Human-AI collaboration
I build practical human-AI systems for leaders and teams who need better collaboration, sharper judgment, and clearer decisions in complex environments.
Current focus
Through AGI Technology Partners, I help organizations translate advances in AI into systems that people can understand, trust, and use to do consequential work.
Company
AGI Technology Partners, Inc. works with executives, product teams, and technical leaders to identify where intelligent systems can create leverage, then shape those ideas into usable strategies, prototypes, and implementation paths.
Visit AGI Technology PartnersBio
I was involved early in human multiagent systems, exploring how people and software agents can coordinate in high-pressure, information-rich settings.
Since then, I have led groundbreaking research programs across human-AI collaboration, decision support, and intelligent systems. Today, I help leaders turn that experience into practical AI initiatives that improve how people think, decide, and work together.
Approach
Make system state, uncertainty, and intent visible enough for teams to coordinate.
Convert complex data into timely choices, tradeoffs, and next-best actions.
Expose why recommendations exist, when they are fragile, and how humans can redirect them.
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