CoSupport AI

CoSupport AI is a customer support automation platform trained on company data, with an ROI calculator comparing resolution-based, server-based and response-based pricing for teams handling 1,000+ monthly tickets.

CoSupport AI is an AI customer support platform aimed at companies that want to cut the cost of handling tickets without growing headcount. The page reviewed here is its ROI calculator, where a visitor enters monthly ticket volume, current cost per ticket and an expected AI resolution rate, then sees projected annual savings under each of the vendor's three pricing structures. Those structures are resolution-based (pay only for solved tickets), server-based (a fixed price with unlimited AI replies) and response-based (pay per reply). Each is positioned for a different buyer: performance-focused teams, teams that want fixed costs, and companies whose volume swings. Letting the buyer compare them side by side is the page's main practical value, since pricing model often matters as much as the headline automation rate when evaluating support bots. The product itself is described as AI trained on a company's own data, with claims of up to 90% ticket automation, 99% response accuracy, support in more than 40 languages across email, chat and messenger, and brand-voice customization on what the vendor calls patented architecture. Security features such as encryption and anonymization are listed, and there is no per-seat charge, so a whole team can be invited. Case studies describe deployments alongside help desks such as Freshdesk, Freshchat and Zendesk, with reported resolution rates between roughly 60% and 82% and setup times as short as three days. These figures come from the vendor and have not been independently verified. The stated target is fast-scaling businesses handling 1,000 or more tickets per month, which places CoSupport AI toward the mid-market and enterprise end of the category. Smaller teams may find lighter chatbot tools or help desk add-ons a better fit, while those with high volume and a need for flexible billing, multilingual coverage and demo-led onboarding are the intended audience. Access to full pricing and product access runs through a demo request rather than self-serve signup.