A practical framework built for distributors: the questions to ask, what to look for, and how to separate vendors who demo well from vendors who deliver.
Experience compounds. AI vendors who have deployed across more customers have encountered more real-world complexity and built solutions for it. More customers means more feedback, faster iteration, and a product stress-tested beyond a controlled environment. Before you commit, ask for evidence of production workloads at scale, not just pilots.
Building AI that consistently works is a world-class technical challenge that requires serious engineering talent. Without engineering depth and dedicated customer support, quality erodes and going live becomes harder than it needs to be. Adoption stalls and ROI is never realized. When you evaluate a vendor's team, look past the pitch and check the people.
When you give a vendor access to your ERP, security and privacy are both critical. Security protects your data from unauthorized access, while privacy governs how it's used and shared. A vendor's word is not enough. Look for independent verification and specific controls, not general assurances.

Unfortunately, demos can't be trusted. It's too easy to set up a demo to show only the cases where a tool works well. The best evidence is what you hear directly from other distributors. Or if you can test a solution live yourself, that's an even stronger sign. Before you commit, look for evidence that the product actually works.