
AI-driven automation for mid-market operations
The problem this solves
Confidence thresholds route uncertain AI output to humans
“One concept I've built into my own work is what I'd call a confidence layer. When an AI agent produces an output... I want to understand how confident the system is in what it's delivering. If the confidence falls below a threshold, the output gets routed to a human for review. If it's within the acceptable range, it can proceed.”
— AI and the Four Pillars of Business Systems: What I Got ...
Each AI layer must earn the right to the next
“The key insight is that each layer requires everything below it to be solid. If you can't get your team to reliably use your CRM, adding AI on top won't fix it. It'll amplify the dysfunction. The layers aren't a maturity model to race through. They're a readiness framework.”
— AI and the Four Pillars of Business Systems: What I Got ...
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