Resolve support requests with an AI agent or prepare drafts for human review, using connected knowledge, helpdesks and business systems.
CoSupport AI
Explore features, practical uses and pricing below.
CoSupport AI provides customer support automation and assistance for teams using helpdesks, ecommerce systems or a website chat interface. Its two main modes serve different purposes: an AI Agent handles configured requests autonomously, while an AI Assistant prepares material for a person to review and send.
This distinction is useful when choosing which work to automate. A routine order-status question may be suitable for an agent with the right connection, while a sensitive complaint may need a human response supported by a summary and draft.
The AI Agent learns from help content, past tickets, product documentation and policies. It retrieves information and applies configured business rules before responding. The documented input types include screenshots, photos, PDFs and video, allowing a customer to provide evidence beyond a written description.
Through configured API workflows, the agent can retrieve account information or perform actions such as order updates, subscription changes and refunds. CoSupport also describes source and decision logs, plus handoff with a transcript and structured summary when a person is needed. These capabilities should be evaluated separately from an answer-only deployment: reading a return policy and authorizing a refund require different permissions.
The AI Assistant drafts replies inside the support workflow, suggests resolution steps and summarizes long conversations. Translation helps a support representative work with messages in different languages. The representative reviews, edits and sends the final response.
Historical resolved tickets and knowledge content provide context for the draft. This can help a new representative find the relevant policy and see what has already been promised in a long thread. Review remains important: a previously resolved ticket may have used an old policy or involved circumstances that do not apply to the current customer.
A retailer could connect its helpdesk, approved returns documentation and ecommerce data. CoSupport's integration overview describes helpdesk connections, Shopify workflows and custom API work with its implementation team. Begin by checking whether incoming requests receive useful drafts and whether the cited information matches the current policy.
Next, evaluate a narrow autonomous workflow such as retrieving an order's status. Include missing orders, a damaged-item photo, a customer asking for an exception and an integration failure. Inspect the resulting response, decision log and human handoff. Granting additional action permissions can then be a separate decision based on the behavior observed in that evaluation.
Knowledge quality and integration access determine what the system can responsibly answer or do. Conflicting policy pages, outdated ticket examples or incomplete customer records can produce an unsuitable result. Keep source material current, restrict consequential actions and review unresolved or disputed conversations. Vendor accuracy and resolution percentages do not establish the result your own queue will achieve.
The pricing page advertises three models: from $0.19 per resolved ticket, from $0.04 per AI response, or a server-based flat plan from $99 per month priced to ticket volume. It also describes a 30-day pilot with 1,000 AI responses. Compare the definition of a billable response or resolution, expected volume and proposed configuration before choosing; a response charge and a completed-ticket charge measure different events.