Helping businesses put AI to work through research, practical tools, and controlled experiments.
Helping businesses put AI to work through research, practical tools, and controlled experiments.
What makes a company intelligent? Here is the definition I want to build around at Wheeler Intelligent Systems: An intelligent company uses machine intelligence to support human judgment. For a business owner, that should mean something practical. Information gets assembled…
Machines cannot do it all. But business owners can give them more useful work while keeping people responsible for vision, judgment, and oversight.
By John Wheeler, Wheeler Intelligent Systems LLC Designing an Intelligent Company When I think about an intelligent company, I picture a business that makes good use of both machine capability and human judgment. Work moves forward without requiring a person…
John Wheeler connects Grok to a Business Central sandbox using fictitious data, then asks for a plan to increase annual gross profit by 10%.
OpenAI, Google, and Anthropic are giving AI more work to do. Here is how small businesses can assign clear roles, set limits, and judge the results.
An intelligent company connects business facts, decisions, ownership, and lessons. Here is how AI can help—and where an owner can start.
Before choosing an AI tool, map how the work happens. A practical guide to triggers, inputs, handoffs, decisions, exceptions, records, ownership, and AI authority.
Lessons from the Wheeler IS experiment: how AI expands what one person can build, why work still needs clear ownership, and how testing and human attention shape useful results.
A focused Business Central extension under development: organizing product facts, finding gaps and preparing a draft specification, with a clearly labeled proposed synthetic workflow.
A practical guide to helping search engines and AI reach and understand your business website—and checking whether those steps lead to better visibility.
AI's value goes beyond saving time. It can help business owners turn years of knowledge into useful tools they could not build before.
Your best employees know more than your process documents reveal. Five practical questions can help capture their judgment before putting AI to work.