Kore.ai Autoloop

Launched October 7, 2026, Autoloop is the optimization engine of the Kore.ai Agent Platform (Artemis edition). It continuously evaluates enterprise AI agents against business-defined goals — task completion, accuracy and grounding, policy adherence, safety guardrails, user experience, and cost — then automatically diagnoses and refines the agents before and after deployment.

Best for: teams running AI agents in production that need self-improving performance instead of manual, transcript-by-transcript fixes. Available to customers on the Artemis edition of the Kore.ai Agent Platform.

Related: Claude · ChatGPT

Pros

• Continuously evaluates enterprise AI agents against business-defined goals: task completion, accuracy and grounding, policy adherence, safety guardrails, user experience and cost.
• Automatically diagnoses and refines agents before and after deployment, instead of relying on manual fixes.
• Replaces transcript-by-transcript debugging with systematic, goal-based optimization.
• Works across the agent lifecycle, catching regressions both pre-launch and in production.

Watch out for

• It is the optimization engine of the Kore.ai Agent Platform (Artemis edition), so it is only available to customers on that edition.
• Evaluation quality depends on the business goals you define; vague goals give vague verdicts.
• Launched October 7, 2026, so its long-term track record is still short.

Best for

Teams running AI agents in production that need self-improving performance instead of manual, transcript-by-transcript fixes. Who should skip it: solo chatbot builders and anyone not running agents on the Kore.ai platform.

Pricing

Available to customers on the Artemis edition of the Kore.ai Agent Platform. No price is stated on the page, so check the official pricing page for current pricing.

FAQs

What is Autoloop? The optimization engine of the Kore.ai Agent Platform (Artemis edition): it evaluates agents against business goals, then diagnoses and refines them automatically.

What does it measure? Task completion, accuracy and grounding, policy adherence, safety guardrails, user experience and cost.

When does it optimize? Both before deployment and after, so production agents keep improving.

Who can use it? Customers on the Artemis edition of the Kore.ai Agent Platform.