OpenAI’s latest research shows that 70% of business use of ChatGPT is for decision support. That means the demand is already here: professionals want help thinking through complex choices.LLMs are remarkably capable, yet the typical chatbot experience falls short of being a true decision-making partner.
In our view, three essential components — when brought together with the strengths of LLMs — can meaningfully improve how teams reason and decide.
First, living context: decisions don’t start from scratch every morning. They build on prior analysis, assumptions, and trade-offs. A good system remembers that history and keeps it up to date as new information arrives.
Second, structured reasoning: framing options, exploring what-ifs, recording the path that led to a choice. This isn’t just language; it's a process.
Third, collaborative intelligence: decisions often get better when different perspectives interact. A system should enable that — whether it’s teammates sharing a common context or a team of specialized AI agents acting like a modern “team of rivals,” testing each other’s ideas.
LLMs provide the raw intelligence. What’s missing is the structure — the context, the reasoning process, and the collaborative layer that turn that intelligence into better decisions. Building that layer is how we help teams move from insight to action.We’re building this layer now — join our waitlist to see it in action.
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