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HP Inc. scales its OpenAI Frontier partnership to deploy AI across customer experiences, software development, and enterprise operations.
Enterprise transformation rarely starts all at once. More often, it begins when small teams prove a new way of working is possible. That was the case with HP Inc., which just announced it will scale activation of its OpenAI Frontier strategic partnership, following a series of successful pilots across different areas.
The strategic partnership extends how HP is deploying frontier capabilities to help its global efforts to enhance customer-facing experiences and accelerate transformation across its operations. Once scaled, the strategic partnership will focus on deploying AI across the organization in areas ranging from customer and partner-facing solutions and experiences, customer telemetry insights and reporting, employee productivity, and software development.
As soon as HP began testing OpenAI Frontier in February 2026, the company started exploring different ways it can use the platform. Early signs of success arrived quickly.
One engineer used OpenAI models to move through 122 pull requests across 43 projects in a matter of weeks. A security team used these models to remediate several software bugs in a day, work they estimated could otherwise have taken up to a month.
As pilot usage deepened, it also became clearer how the tools powered by OpenAI could move from experiment to daily workflows. For enterprise teams, time often disappears as code moves through tests, reviews, security checks, and handoffs across tools and sprint plans. At HP, OpenAI tools helped compress that time into a faster, more collaborative rhythm. “It has been an amazing tool, and I am using it daily,” said one HP engineer.
That growing utility across its test cases started to show how these individual wins could become part of a repeatable system HP could scale across the enterprise. Early successes also included HP teams finding immediate value in OpenAI APIs and tools like ChatGPT and Codex inside real everyday work, proving where AI could compress time, reduce friction, and improve execution.
