Apple's Internal AI Tools Show How the Company Is Testing Its Next-Gen Models [Report]

Apple has deployed a pair of internal artificial intelligence tools designed to boost workforce productivity and refine its language models. While the public rollout of Apple Intelligence has faced delays, the company is reportedly experimenting with more powerful, secure AI tools behind closed doors to help employees with everything from coding to navigating corporate benefits.



The first tool, dubbed Enchanté, functions as a general-purpose assistant similar to ChatGPT. According to Macworld, the app features an interface reminiscent of OpenAI's macOS client and is being used across engineering, design, marketing, and leadership teams. Unlike consumer AI tools that can expose data to third-party servers, Enchanté operates entirely on Apple's private infrastructure. It provides secure access to Apple's own Foundation Models, as well as external models such as Claude and Google's Gemini, allowing employees to upload sensitive documents, images, and code for analysis without compromising security.


A second application, known as Enterprise Assistant, serves as a more specialized internal knowledge hub built entirely on Apple's internal large language models. The tool is designed to answer specific questions related to corporate policies, executive roles, and technical support. Employees can reportedly use it to query information ranging from health insurance benefits and vacation policies to configuring Apple's VPN on an iPhone. Like Enchanté, the app includes feedback tools that allow staff to rate response accuracy and usefulness.

This isn't the first time Apple has tested generative AI tools internally. The company previously developed a chatbot codenamed Veritas to evaluate the capabilities of its underlying technology. The broader rollout of Enchanté and Enterprise Assistant comes as Apple works to stabilize its AI roadmap following reports that its most advanced Siri features were delayed until 2026. To bridge the gap, Apple has also agreed to use Google Gemini to power parts of its next-generation Siri experience.

By stress-testing these AI tools internally and collecting real-world feedback from employees, Apple is refining its proprietary language models before committing to a wider public rollout.

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