HP Partners with OpenAI for an Agentic AI Makeover

HP Partners with OpenAI for an Agentic AI Makeover

HP announced today that it has partnered with OpenAI to integrate its frontier platform into HP’s internal and external offerings.

“With OpenAI there is an opportunity to fundamentally rethink how AI can deliver better outcomes,” HP chief strategy and transformation officer Prakash Arunkundrum said. “With the use of Frontier platform, HP is planning to build a more consistent experience across store, partner, chat, and voice experiences, giving customers and partners faster ways to get answers, complete routine workflows, and move toward resolution. It reflects the ambition of our AI strategy to deliver real-world outcomes at scale.”

Though specific use cases will be refined as we move forward, HP plans to deploy new AI-driven solutions across its customer- and partner-facing solutions and experiences, customer telemetry insights enabled through HP’s Workforce Experience Platform (WXP) solutions, employee productivity, and software development. HP says that it began evaluating the technical capabilities, use cases, and strategic alignment with HP’s priorities of OpenAI Frontier this February. And after agentic capabilities, platform components, security, and enterprise integration pilots, it determined that OpenAI has “best-in-class” models and “a compelling vision for agent-based capabilities.”

“HP is showing what enterprise transformation looks like when AI becomes an operating layer, connected to the systems and workflows where work already happens,” OpenAI chief revenue officer Denise Dresser says. “HP has been an exceptional early partner, turning early value from OpenAI APIs and tools like ChatGPT and Codex into repeatable systems. We’re thrilled to go deeper with them as they move beyond Frontier pilots to deliver measurable business impact at scale.”

Tied to this partnership, HP hints that it is working on “a suite of agentic AI Devices that seamlessly integrate into existing workflows, increasing employee efficiency.” These devices will require always-on inference and hardware that’s optimized for running agentic AI workloads 24/7.

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