From Pilot Wins to Scalable Systems
HP Inc. is transitioning from isolated AI experiments to an enterprise-wide operating model by leveraging OpenAI's Frontier platform. The company’s strategy focuses on moving beyond "cool demos" to establish a connective layer that manages context, permissions, and evaluation. By using Frontier as a unified platform, HP aims to standardize how agents access internal data, execute actions, and maintain governance as they move from proof-of-concept to production.
Concrete Productivity Gains
Early pilot results demonstrate significant time compression in software and security workflows:
- Software Development: One engineer processed 122 pull requests across 43 projects in a few weeks using OpenAI models.
- Security Remediation: Security teams reduced the time required to remediate software bugs from up to a month down to a single day.
- Capacity Unlocking: Proactive vulnerability remediation and security analysis have unlocked an estimated 82 hours of human capacity per week.
The Frontier Operating Model
HP is deploying Frontier to solve the complexity of distributed enterprise environments. The platform serves as the "connective tissue" for several key workstreams:
- Partner & Customer Support: Creating a consistent self-service layer for over 100,000 partners, enabling always-on guidance for program navigation and operations.
- Fleet Management (WXP): Integrating device telemetry, support knowledge, and runbooks to allow AI agents to reason across fleet health signals, enabling faster, grounded remediation of crashes and connectivity issues.
- Governance & Control: Using Frontier to define clear permissioning and evaluation controls, ensuring that as AI agents take on more autonomous tasks, their outputs remain reviewable and compliant with enterprise security standards.