Enterprise AI buyer’s guide

Enterprise AI buying decisions should center on the work employees need to produce. Security, integrations, and price matter, but so do the accuracy of the output, the evidence behind it, and the effort needed before it is ready to use.

This guide sets out eight criteria for evaluating enterprise AI platforms, covering security, information access, verification, model strategy, high-value work, agent controls, adoption, and cost. Practical checklists and evaluation exercises help buying teams test vendors against the same requirements.

Explore how to structure trials around representative workflows, trace important claims to original sources, and assess the full cost of a useful result. The guide closes with considerations for choosing among Perplexity, Claude, ChatGPT, Microsoft Copilot, and Gemini based on organizational needs