OpenAI’s new Frontier platform lets you build, deploy, and manage AI agents that act like real coworkers across your business apps. The system connects to tools such as Salesforce, ServiceNow, and Outlook, giving agents the same data access and security controls as human staff. It’s designed to boost productivity without requiring a data‑science team.
How Frontier Transforms Enterprise Workflows
Frontier acts as a semantic layer that lets AI agents operate inside the same environment your employees use. An agent can log into a CRM, pull a customer record, update a ticket, and even draft an email reply—all without a human opening the application. You’ll see the same context displayed for both people and agents, enabling real‑time collaboration.
Core Capabilities
- Integration hub – Connectors for major business systems (CRMs, HR platforms, ticketing tools, data warehouses) let agents invoke APIs just like a human user.
- Identity and policy engine – Role‑based access controls and audit logs enforce the same security policies that govern employee accounts.
- Training & feedback loop – Organizations can feed examples of “good” and “bad” work, allowing agents to improve over time and reduce errors.
Security and Governance Built In
Frontier treats AI agents as employees in your identity system. That means existing compliance frameworks—role assignments, multi‑factor authentication, and audit trails—apply automatically. You don’t have to invent new policies; you simply extend what already protects your data.
Early Adoption Highlights
Several Fortune‑500 companies have already piloted Frontier. At Uber, an AI agent now triages driver‑support tickets, cutting manual handling time by roughly 30 %. The system pulls data from internal dispatch tools, suggests resolutions, and escalates only the toughest cases to human operators.
HP’s IT operations team uses Frontier to synchronize hardware inventory updates across multiple data centers. The agent follows the same change‑management policies as engineers, delivering speed without sacrificing auditability.
Oracle’s cloud services division has prototyped a sales‑assistant agent that drafts proposals based on CRM data and pricing rules. Early tests show the agent can generate a draft in under a minute, a task that previously required a full sales analyst.
What This Means for Your Business
Frontier lowers the barrier to AI adoption. You no longer need a dedicated data‑science team to stitch together custom pipelines; you can spin up an agent in the workspace and let it start handling routine tasks. Security and governance stay front‑and‑center, and the platform’s flexibility forces traditional SaaS vendors to rethink how they embed AI.
If you’re ready to turn AI into a true teammate, Frontier provides the tools, controls, and real‑world examples to get you there.
