HP & OpenAI Partnership Shows What Enterprise Agentic AI Requires Beyond the Model

In June, HP announced plans to deploy OpenAI Frontier across customer-facing experiences and internal operations. It expects potential use cases to include customer telemetry insights, employee productivity, and software development.

HP also plans to bring Frontier into its online store, partner channels, chat, and voice services. The aim is to help customers and partners find information and complete tasks more consistently across those channels.

The partnership also highlights a bigger challenge for CIOs: deploying AI agents across the business requires more than selecting a capable model. Agents need access to enterprise data and business apps, while IT teams must control what they can access and do.

Endpoints add another requirement as AI agents take on more routine work. HP is developing devices with dedicated hardware for agentic AI workloads that require continuous inference, while its Workforce Experience Platform (WXP) provides device telemetry and management.

Together, these requirements show why CIOs need to consider the systems and devices surrounding the AI agent as part of their deployment plans.

Why enterprise AI agents need more than a capable model

Generative AI tools initially gave employees a relatively simple interaction: enter a prompt and receive an answer. Agentic systems go further through data retrieval, app interactions, and task completion.