Onboard your 'Agents' like your people.

Imagine a world where you can onboard your AI agents, just like your people, with the right policies, guardrails, permissions and performance reviews.

That is what OpenAI launched today with its 'Frontier' product.

Interestingly, OpenAI have shifted their language to 'AI coworkers', not 'Agents', and say that they need:

→ To understand how work actually gets done across systems.
→ Access to a computer and tools to plan, act, and solve real-world problems.
→ Understand what good looks like, so quality improves as the work changes.
→ An identity, permissions, and boundaries teams can trust.
→ To work across many systems, often spread across many clouds.

They see these as being open standard, integrating with your existing data and applications. That your AI coworkers are accessible through any interface, where the work happens, not trapped in an application.

They connect siloed data warehouses, CRM systems, internal applications to give the AI coworkers the same shared business context. They understand how information flows, where decisions are made and what outcomes matter.

Frontier is a layer that sits between your systems of record, your data, and your agents. It is the context your agents need. It connects (all) the dots.

They believe that agents will learn, which is why they have built in the ability to evaluate, optimise and improve their outcomes. Each can be given clear boundaries.

It is a lot to take in.

HP⁠, Intuit, Oracle, State Farm, Thermo Fisher⁠, and Uber⁠ are among the first to adopt Frontier, and dozens of existing customers including BBVA⁠, Cisco⁠ and T-Mobile⁠ have already piloted Frontier’s approach to power some of their most complex and valuable AI work.

This may be the missing layer, that will enable the oversight, management and efficiency of the agents proliferating in your organisation.

SOURCE
Introducing OpenAI Frontier: https://openai.com/index/introducing-openai-frontier

BESCI AI OPINION

This is another step in the road in AI becoming true commercial applications which are part of the corporate infrastructure.

Imagine, though, if you had one person in your organisation with *ALL* the knowledge, not in silos, but in one place. What insights could that drive. This is the context that Frontier is getting to.

It is more than a human brain can contain. It is unemotional, it does not have tribal allegiances. It is factual, and not afraid to highlight your weaknesses, and blind spots as well as your sources of competitive advantage.

The big question is whether organisations will give their agents the freedom to work across the enterprise, or whether they will box them into silos.

This feels like it might be the start of the next phase of corporate/AI evolution.