The full answer
Unlike a general chatbot, a copilot lives inside a workflow. In a CRM it drafts follow-ups and summarises account history; in a support desk it proposes replies with links to the policy they rely on; in an operations platform it explains an anomaly and suggests a fix. The user accepts, edits or rejects each suggestion.
Creuto's own AI-powered sales CRM and the AI-powered sales training platform built for Škoda Auto are examples of copilot-style products in its portfolio, where AI assists people doing a defined job rather than replacing them.
Building one involves connecting the copilot to the right context: the record on screen, relevant documents through retrieval, and the tools it may call. Access is enforced at the data layer so the copilot sees only what the user is allowed to see.
Quality is measured on real tasks before launch and tracked afterwards through acceptance rates, edits and feedback, which show where the copilot helps and where it needs work.
Copilots can be built into an existing product, a new internal tool or a mobile app. A discovery call is the quickest way to identify which team would benefit first.