Hitachi Digital Services has introduced Hitachi Application Reliability Centres (HARC) for AI, a powerful new service designed to help enterprises run AI and Gen AI applications with greater reliability, efficiency, and governance. The solution addresses challenges when scaling AI, such as unpredictable costs, performance degradation over time, and limited oversight of complex models like LLMS.
"As AI rapidly moves from experimentation to enterprise-wide deployment, organisations need more than innovation—they need operational excellence. With HARC for AI, we're giving enterprises the foundation to run AI and GenAI systems reliably, securely, and at scale. This is about turning AI into a trusted, efficient engine for transformation across every industry," said Roger Lvin, President and CEO of Hitachi Digital Services.
Key capabilities
Building on the broader HARC platform launched in 2022, HARC for AI supports AI agents throughout their lifecycle, from deployment to continuous improvement. It can also monitor AI behaviour and performance using advanced tools and dashboards and track data patterns to keep AI accurate over time.
It also claims to help with cost optimisation, AI observability, and security and governance by protecting systems from attacks and enforcing compliance through automated controls.
"Just as we brought structure and rigour to cloud and enterprise operations, we're now doing the same for AI," said Premkumar Balasubramanian, chief technology officer at Hitachi Digital Services. "HARC for AI helps organisations monitor, govern, and optimise AI systems to stay reliable, responsible, and cost-effective."
