AI Driven Coordination
We are entering a new era in how we process information and collaborate. Historically, we relied on memory and then evolved to using tools like Google to search for information. Today, Large Language Models (LLMs) go beyond simple retrieval—they tailor knowledge to our specific needs. This allows us to offload this mental processing to AI that provides us the capacity for more creative and innovative ways of working.
Optimizing how to think with the use of AI takes practice. While LLMs and AI-driven systems rapidly evolve and make much of the work we do obsolete, the practice of collaborating with AI now will provide the essential skills needed to excel during this paradigm shift in how we work.
In addition to improving how an individual thinks, AI can serve as the coordination mechanism for collaboration between individuals and teams. Currently when we have a conversation between parties much of the conversation is about providing the right context and understanding the other person(s) perspectives. Using AI that’s grounded in their data and helping customize how we communicate can allow us to talk much more efficiently. In addition, allowing the AI to connect ideas to our existing processes and work allows a more free flow type of communication that can achieve much more innovative and productive outcomes.
This paper introduces the Coordination Editor, a platform designed to facilitate this new approach to collaboration. We also present the AI Business Engineer, a new role responsible for leading and implementing this framework. The AI Business Engineer will build Methods which are shareable ways for how AI can process data.
This paper will demonstrate how we created and used a Literature Review Method in the Coordination Editor. It will then discuss how we are thinking about integrating this Method further into how work is done. We outline the ability to dynamically build projects and goals at various levels of an organization with our Project Management Office. The AI Business Engineer will be the composer of these Methods as we demonstrate how expertise from one area can benefit other areas.
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