Elastic has unveiled new tools aimed at enhancing AI agent capabilities, specifically designed to integrate and utilize fragmented corporate data systems. The Agent Builder is now widely available, while Workflows is in technical preview. These tools address common challenges organizations face when advancing from basic conversational AI to task-completing agents, particularly in automating customer service, finance, and back-office processes.
The Agent Builder enables agents to search both structured and unstructured data sources, emphasizing security controls for handling sensitive information. Workflows offers a rules-based automation layer, facilitating structured agent actions that may require human oversight. Elastic positions its products as model-agnostic, ensuring compatibility with pre-existing AI models, thus reflecting the trend of avoiding vendor lock-in.
With growing interest in AI agents, especially in Australia, Elastic’s focus on overcoming data access challenges and regulatory compliance aims to bridge the gap between AI technology and practical enterprise applications, responding to a significant demand in operational AI deployment.
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