Universal Mind is the organizational intelligence company for organizations of a few hundred to a few thousand people.
AI made a few people faster and changed nothing else. We change the company: fluent people, workflows that run, context every team can reach, in UniversalContext, the platform we built.
Everyone on your team has an assistant now, and every one of them is good at tasks. A task is what one person does. A workflow is how the organization does it. That gap is where the value goes missing.
Most organizations take these in order, because each step widens who the value reaches. You can also start in the middle if you already know what is broken.
AI literacy for everyone, plus three manager tracks: using AI yourself, leading people who use it, and running agents and automations. Taught on whatever your company has licensed, so the skills outlast the tool.
Trained teams stop asking what AI can do and start naming the one workflow that wastes the most time. That is where a Workflow Analysis begins.
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Four bounded engagements: define and analyze a workflow, build a source of truth, develop something custom, or connect the systems you already run. Fixed fee, defined duration, real end date.
A defined workflow runs anywhere you point it. When it needs context from across the organization, or when you have enough of them to need shared memory, it runs on UniversalContext.
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UniversalContext, the organizational intelligence platform this team built, and the staged rollout that gets your whole company onto it. Documents, meetings, and relationships become something every team can query.
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Microsoft, Google, OpenAI, Anthropic, and xAI are spending against each other to own how your company works. The cheapest ground they can take is your people. Every one of them will train your team for free, deeper into their own product, and call it AI skills.
That training is not wrong. It is just narrow, and it expires the moment you change tools. Your people should be fluent in AI, not fluent in one vendor.
We teach on whatever your company has already licensed, and we teach the judgment underneath it. When the model changes, and it will, the skills still hold.
We are not reselling anyone's licenses, so the recommendation is not pointed at a quota. We understand the work first and name the tool second.
What we build is built so the model is swappable. The best model for a job today will not be the best one next year, and that should be a settings change.
Built at Fortune 500 scale since 2003
From Universal Mind's Live OS engagement for Herman Miller, before the AI work
“With the data insights captured through Live OS, organizations can better measure and manage workplace strategy to optimize real estate usage and improve employee experience”

Ryan Anderson
Director of Commercialization, Herman Miller

UniversalContext started inside engagements like the ones above. The document analysis, the UniversalContext Map, the agents: every piece was built for a client before it became a product. When your workflows are defined, this is where they run for the whole company.
We are model-neutral, not platform-neutral. We built one, and we built it model-agnostic for the same reason we teach that way.
Most conversations start with training, because that is where teams discover which workflow to fix first. Some start with a workflow analysis. Tell us where you are and we will tell you which one fits.
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