Offer a fixed-price model selection audit built around five to ten real client workflows. The operator creates representative test cases, runs them across selected AI models, scores accuracy, completeness, formatting fidelity, speed, cost, and failure severity, then delivers a role-specific tool matrix and operating playbook. An optional managed retesting service updates the recommendations when models or business workflows change.

Businesses now have access to several capable models whose performance varies by task, while frequent model releases make informal recommendations quickly obsolete. Growing subscription overlap and concern about unreliable outputs create a timely need for evidence-based selection using each buyer’s own workflows.