A speaker argues that AI builders should stop pitching evaluation tools and instead show stakeholders what happens when they skip it. Focus on the concrete costs of not knowing if your AI works: missed revenue, broken trust, regulatory fines.
Are you an AI builder that's struggling to convince your team to care about AI evals? Well you need to show them what they're already missing because buy in doesn't start with frameworks it starts with pain. Engineers Want to ship PMs Want value outcomes for users. Execs want reduced cost of acquiring customers. They want to maximize CLV net revenue net profit. Whatever the corporate objectives are evals are going to feel like a tax or an obstacle. One client I saw actually refused to invest in eval infra until their agent in internal testing started recommending the competitor from a user query once trace instant funding for evals. So if you want buy in don't pitch evals as nice to have ask what's the cost of not knowing what your system is actually doing because in AI uncertainty is really expensive. Speak to your stakeholders pain points and you won't need to convince them to care about evals. They'll care about it because of the outcome they already want.
