How To Turn AI Product Claims Into Measurable Business Results

I contributed to this Forbes Technology Council expert panel, published August 6, 2026, on how AI startups can demonstrate meaningful business results rather than rely on impressive demos. ## My Contribution: Account For Human Oversight The value of an AI product should reflect the work it removes and the work it creates. Reviewing generated outputs, resolving exceptions and correcting mistakes all require human time. Leaving those costs out can make a promising pilot look more valuable than it really is. My recommendation is to establish a baseline for the existing workflow and measure savings after deducting the cost of oversight. This gives customers a clearer basis for deciding whether an AI deployment delivers lasting value. ## From Product Claims To Evidence The broader panel explores ways to connect AI capabilities with business problems and measurable outcomes. My contribution focuses on making the human effort behind those outcomes visible, so customers can evaluate net value rather than gross savings. This is a summary of my contribution to a multi-expert panel, not a reproduction of the full Forbes article. Read the full expert panel on Forbes .