HCLTech 推出面向大型机运维的 AI 智能体
HCLTech Launches AI Agents to Support Mainframe Operations
HCLTech 发布面向企业大型机环境的 AI 运维方案,结合专用智能体与对话式 AI 助手,覆盖系统管理、可观测性、优化和运维工作流,智能体在人工监督下运行。该方案依托 HCLTech 的大型机卓越中心,公司称可提升运维效率、加快问题解决并推动从被动响应转向主动管理,但未披露客户部署、支持的大型机平台及量化改进数据。
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HCLTech has launched an AI-powered operations offering for enterprise mainframe environments, combining specialised agents and conversational AI assistants for system administration, observability, optimisation and operational workflows.
The platform uses AI-enabled automation to support mainframe operations. The agents operate under human oversight. HCLTech said they would improve operational efficiency, accelerate issue resolution and enable more proactive system management.
Mainframes continue to underpin critical enterprise workloads, even as companies look to modernise legacy infrastructure. Mphasis, for instance, has been exploring the use of AI in legacy IT modernisation through its approach to AI-led legacy modernisation.
“Enterprises running mission-critical workloads on mainframes are under increasing pressure to modernise operations and drive greater efficiency, without compromising reliability or control,” said Rampal Singh, Senior Vice President and Global Business Head of Hybrid Cloud at HCLTech.
Singh said the launch combines HCLTech’s mainframe expertise with AI capabilities to simplify operations and reduce risk.
The offering also draws on HCLTech’s dedicated Mainframe Centre of Excellence. The company said the centre provides domain expertise, industry best practices and support for further development of the offering.
“Through our dedicated Mainframe Center of Excellence and AI innovation capabilities, we are embedding intelligent agents and operational intelligence directly into mainframe environments,” said Raghu Kidambi, Corporate Vice President and Head of AI Ecosystems at HCLTech.
Kidambi said the platform would help enterprises move from reactive to proactive mainframe management while maintaining security, resilience and governance.
HCLTech did not disclose customer deployments, supported mainframe platforms or quantified operational improvements for the offering.