The McKinsey of enterprise AI efficiency

Hi everyone, I’m Jacob, living in Salt Lake City, Utah.

My business partner and I are creating a mid to upper market consultancy/AI lab. Think McKinsey for AI efficiencies.— if McKinsey had their own custom development shop and was able to create original, cutting edge AI solutions that deliver unprecedented efficiencies and also new capabilities. There are a couple of areas we are innovating on.

Cognitive hive AI (CHAI) is a modular approach to solving problems with AI where you use multiple coordinating AI agents, which can include LLMs, but also can include many different types of machine, learning or artificial intelligence, and they all coordinate together to a larger goal. It’s a systems of systems approach where you get larger and larger gains the more components you plug together and we feel it is the future of AI implementation for high stakes or complex deployment.

Invisible AI is a concept we are developing. It basically means that for established industries, people don’t want to be forced to learn new tools, dashboards, logins, and workflows. So the more we can access AI capabilities through existing tools and interfaces, the higher the adoption rate will be. As an example, an attorney could email instructions to an AI assistant, which would complete a complex workflow behind the scenes and email them the results. So they don’t have to learn any new tools.

I am excited about the future of these concepts and see big potential for them. I look forward to supporting all of you in your businesses, and if you have any clients that could benefit from the concepts I am discussing above, I would be happy to meet with them and help them out.

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