12 Questions to Ask AI Vendors Before Signing an Enterprise Deal

A procurement expert who has observed numerous enterprise AI buying processes identifies 12 critical questions that distinguish successful AI deployments from costly failures. Organizations that ask harder, more specific questions early tend to achieve better outcomes, while those satisfied with vague answers often face regret later. Key areas of scrutiny include data handling practices, such as exact data flow paths, subprocessor lists, and deletion processes for distributed cloud systems. On the product side, buyers are advised to test how an AI tool responds when it lacks sufficient information, and to ask vendors for concrete retrieval accuracy data across documents of varying ages. The core argument is that demanding real, specific answers requires organizational discipline that most procurement processes currently lack.