Hitachi Digital Services introduced Hitachi Application Reliability Centers (HARC) for AI, a powerful new service designed to help enterprises run AI and Generative AI (Gen AI) applications with greater reliability, efficiency, and governance.
Building on the broader HARC platform launched in 2022, HARC for AI addresses key challenges companies face when scaling AI: unpredictable costs, performance degradation over time, and limited oversight of complex models like LLMs.
Key Capabilities
- AI Resilience & Performance Management – Ensures stable, available AI applications by monitoring reliability metrics and implementing recovery strategies.
- Data Drift Detection – Tracks and corrects shifts in input and output data patterns to keep AI accurate over time.
- Cost Optimization – Dynamically adjusts workloads to minimize compute waste and reduce cloud costs.
- AI Observability – Continuously monitors AI behavior and performance using advanced tools and dashboards.
- Security & Governance – Protects systems from attacks and enforces compliance through automated controls.
- Agent Lifecycle Management – Supports AI agents throughout their lifecycle—from deployment to continuous improvement.
“Just as we brought structure and rigor 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 organizations monitor, govern, and optimize AI systems so they stay reliable, responsible, and cost-effective.”
HARC for AI builds on Hitachi’s proven track record in cloud and data reliability. It now spans FinOps, SecOps, and AI operations—including observability, security, and cost control for Gen AI in production environments. Along with the R2O2.ai framework, which was introduced in 2024, HARC guides responsible AI development, deployment and operations. While R2O2 defines the framework for development and deployment of AI workloads, HARC operationalizes it—bringing AI observability, lifecycle management, and performance tuning into real-world use.
“As AI rapidly moves from experimentation to enterprise-wide deployment, organizations 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, Hitachi Digital Services.
To date, HARC has helped more than 40 Fortune 500 companies run reliable, secure, and cost-effective operations across industries like finance, healthcare, defense, and automotive. Notably, HARC has helped a global building management firm maintain a consistent 99.9% uptime and save over $3 million a year just in infrastructure costs. Additionally, a U.S. travel tech company used HARC to cut revenue losses by 67% in one year.
Altogether, since inception HARC has saved clients over $150 million by boosting efficiency, reducing outages, and optimizing cloud costs. It also helped strengthen security by fixing more than 150 high-risk vulnerabilities and building cloud environments that meet top compliance standards like FedRAMP High and DORA.
