Realtime AI News
Shield Hands Legacy Portal Work to OpenAI-Powered Forge Agents
An OpenAI customer story published November 13 describes how Shield uses OpenAI to move work inside legacy portals onto its Forge agents. The agents navigate the systems directly, leaving technicians free for the issues that need human judgment.
OpenAI's November 13 customer story describes how Shield has moved work inside legacy portals onto Forge agents, freeing IT technicians from screens that demand clicks, typing and navigation but little judgment.
As the story frames it, the agents operate inside existing portal systems and carry out steps that would otherwise be handled by hand, while the technicians move to the issues that actually require their judgment. That division of labour is the central claim of the piece.
Legacy portals are a familiar problem in enterprise IT. The systems are old, APIs are missing or incomplete, and the only route to automation runs through the interface itself. Having an agent operate that interface the way a person would is one practical way to bring those existing systems into an automated workflow.
The case study does not name the specific models used, the agents' accuracy, or how widely they have been deployed, and it offers no quantified time savings. What it presents is a way of splitting work rather than a reproducible benchmark.
The interesting question is where that split sits. The story's answer is that judgment stays with people, but exactly where the line falls depends on each organisation's process auditing and on who is accountable when an agent misclicks.
For buyers, the value of a case like this is a concrete shape to compare against. What still determines success is the engineering around it: permissions, audit trails, and how exceptions get routed back to a human.
Why it matters
It moves the agent contest into systems that were never designed to be automated. Whoever can reliably drive an API-less interface inherits the hardest, least glamorous part of enterprise IT work.
Nearby Updates
All11/13, 15:43
Future Doctor's MedGPT beats 250 hospital physicians 88-12 in complex lung cancer test
Chinese medical AI company Future Doctor has released results from a large evaluation of its MedGPT model on complex lung cancer cases, with its strategies preferred over those of 250 hospital physicians by 88 to 12. In the same-condition comparison, MedGPT scored 96.22 against GPT-5.4, Claude Opus 4.7, and Gemini 3.1 Pro.
11/13, 15:06
Wujie Frontier Open-Sources Fx-Bio-1031, Claiming Wins Over GPT-6-Astra and Opus-5
QbitAI reports that 无界前沿 has open-sourced Fx-Bio-1031, a life-sciences model it says outperforms GPT-6-Astra and Opus-5 on difficult blind tests. The release emphasises data staying on-premises and local deployment, with RSI framed as the guiding idea.
11/13, 14:54
openJiuwen ships RSI-native AgentOS, letting agents hot-plug features they write themselves
openJiuwen has released an RSI-native AgentOS, a runtime that opens extension points across the interface, gateway, server and agent execution layers so agents can build and install new capabilities on themselves. Its WorkSwarm app loads agent-generated extension packages without changing existing code, with version management and rollback when a new build breaks something.
11/13, 14:50
Globe launches AI Fiesta, giving Philippine users free access to Claude and Gemini
Philippine carrier Globe has announced AI Fiesta, a unified platform bundling models from Claude, Gemini and ByteDance with tools for images, video, presentations and websites, rolling out from November 15. It adds automatic model routing and a multi-model consensus tool, letting subscribers bypass the paywalls that normally guard premium AI services.