Everyone is an AI company now, and they have the buzzwords to prove it.
There are two camps of people: the skeptics and the hype machines. What neither camp is talking about is the critical role human expertise serves in getting AI to work the way it is intended.
- Talent and expertise do not scale.
- AI without the right level of context, human judgment, and expected outcomes provides limited value.
- Traditional systems require expert judgment to be translated into coded business rules, a process that is expensive, brittle, and quickly outdated.
- Key expertise is a single point of failure and a bottleneck. The business stops when someone leaves, retires, goes on vacation, or burns out.
- Generic large language models provide generalized responses that lack the specific judgment, guardrails, domain heuristics, and perspective of any particular practitioner. People either spend hours fighting for a more precise response, or trust the generic and often incorrect one.
If you have ever asked an AI a question, gotten a confident answer, pushed back, and watched it reverse itself and apologize while agreeing with whatever you said last, you already understand the problem we set out to solve. Confidence is not judgment, and a generic model will never carry the perspective of someone who actually knows.
What we built and what we filed a patent on addresses that challenge to unlock the full benefit of AI. With Expert-as-a-Service, the expert’s judgment becomes the engine that drives decisions and actions. Most people aren’t ready to turn over the keys; they still need to know that there is a human at the switch providing a specific perspective, calibrated to both the individual asking the question and the content of what’s being asked.
The application is on file with the USPTO and the assignment to Cap20AI, Inc. is recorded. Patent pending.