TOD — The Universal Decision Model

TOD is a specialized AI decision model designed to integrate in front of existing assistants, reading both text and images to extract structured facts and rank the best next action from hundreds of options. It only outputs decisions when confident, otherwise deferring to a parent model, thereby reducing computational overhead and improving task efficiency. It is particularly focused on customer support scenarios but generalizes across tasks. Pricing is flat per decision regardless of context length.