Kore.ai Autoloop reaches GA to continuously optimize enterprise agents for completion, rules, safety, experience and cost

What changed

Kore.ai announced general availability of Autoloop in the Artemis edition of its Agent Platform on October 7. Teams define goals such as task completion, accuracy and grounding, business-rule adherence, safety, user experience, latency and cost; Autoloop then continuously runs build, evaluate, diagnose, optimize and re-verify cycles, with production interactions starting new optimization loops. StateTrace follows handoffs, delegation, state, tool calls and context across the execution graph, while Agent Blueprint Language compiles supervision, routing, tools, rules and guardrails into an executable state machine. Autoloop is available to all Artemis customers. Kore.ai's figures about its own agent-generated engineering output are company-reported.