Kore.ai launches Autoloop to continuously optimise enterprise AI agents
Kore.ai has announced the general availability of Autoloop, an optimisation engine for its Agent Platform, Artemis edition, designed to help enterprises continuously improve the performance of AI agents.
The platform automates the process of building, evaluating, diagnosing, and refining AI agents against business-defined objectives. It aims to reduce reliance on manual fixes by enabling agents to improve continuously while balancing task completion, accuracy, compliance, safety, user experience, and operating costs.
The launch comes as enterprises face challenges in managing AI agents at scale. According to the 2026 Kore.ai Agent Productivity Index, 79% of enterprises have reversed an action taken by an AI agent, while 70% have encountered failures that their teams could not trace. Gartner predicts that autonomous learning techniques will feature in a majority of AI agents by 2030, compared with less than 5% in 2026.
Raj Koneru, Founder and CEO of Kore.ai, said enterprises need AI agents that...
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