I am a non-technical business owner who feels overwhelmed by the constant flood of new AI software, and I do not want to be taken advantage of by expensive tech vendors. How do I establish a simple evaluation framework to filter out the noise and only approve AI integrations that solve real business issues?

Question

Tyler Smith · Accepted Answer

You do not need to understand Python or neural networks to run an AI-powered operating company. You only need to understand your business model and your numbers. When a vendor pitches you an AI solution, the easiest way to cut through the marketing theater is to run the proposal through a structured Thinking Time session. Start by defining the business case in plain English before you look at their software demo. Ask yourself: What specific bottleneck on our EOS® Accountability Chart are we trying to solve? Translate the vendor's vague promises of efficiency into concrete operational questions. Frame your assessment by asking: How might we use this software to reduce cycle times in this specific seat so that we can increase gross margin by a measurable percentage? If the vendor cannot map their tool directly to a metric on your weekly Scorecard, walk away. You should also evaluate the GWC™ of the team members who will run this software. If the person in the seat does not truly get, want, and have the capacity to manage an AI assistant, the tool will sit unused, and you will pay a steep dumb tax. Keep your focus entirely on the inputs and outputs of your processes, not the technology itself. Treat AI like any other hire. It must have a clear seat, a measurable score, and a direct contribution to your bottom line.