Apple Tests Enchanté AI Chatbot for Employee Productivity

Apple Tests Internal AI Chatbot to Boost Employee Productivity

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Kezia Jungco
Kezia Jungco
Jan 26, 2026
3 minute read
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Apple is still working through its plans to revamp Siri into a more capable AI chatbot this year. Inside the company, however, employees are already using generative AI in their day-to-day work. 

The tech giant has rolled out an internal chatbot called Enchanté to help staff brainstorm ideas, write and edit content, research topics, and analyze files. The company is also using a second internal tool, Enterprise Assistant, to answer questions about company policies and technical processes. 

How Apple is using AI internally

Apple made Enchanté available to employees around November 2025. The chatbot functioned much like ChatGPT, helping staff with brainstorming, development work, proofreading, and answering questions while staying within Apple’s approved systems.

Macworld reported that Enchanté ran on Apple’s Foundation Models, which power Apple Intelligence, as well as Claude and Gemini. “The app only runs models approved by Apple, and they all run locally or on private servers, with no connection to third parties,” Macworld wrote.

Employees can upload documents, images, and files, including content stored locally on their Macs. They can also search and query Apple’s internal documentation used by teams across engineering, design, marketing, and leadership. 

The app allows employees to compare responses from Apple’s models and other approved systems side by side and rate those responses for accuracy and usefulness. 

MacRumors noted that Enchanté followed earlier internal AI projects at Apple and reflects the company’s long-running internal experimentation with generative AI, much of which never reached consumers.

Enterprise Assistant centralizes corporate knowledge

Alongside Enchanté, Apple deployed Enterprise Assistant, a separate internal AI tool designed to act as a centralized knowledge hub. According to Macworld, the Enterprise Assistant is far more specialized and is built entirely around Apple’s internal large language models (LLMs). 

“It reportedly includes a database of Apple’s internal policies, allowing employees to ask questions about everything from executive roles and company conduct guidelines to health insurance benefits, vacation policies, and technical setup instructions such as configuring Apple’s VPN on an iPhone,” Macworld noted. 

Like Enchanté, it includes response evaluation features, so employees can flag incorrect or unclear answers. Apple uses this internal feedback to test how well its models handle policy and procedural questions before rolling out broader deployment. 

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How internal testing connects to Siri’s overhaul 

Apple’s internal AI deployments come as the company prepares a major shift in its consumer strategy. According to Bloomberg, Apple plans to revamp Siri into the company’s first full AI chatbot, code-named Campos. 

The new Siri would support web search, content creation, image generation, summarization, and file analysis across the company’s core apps. Bloomberg reported that the assistant will also be able to draw on personal data to complete tasks, such as locating files, songs, calendar events, and text messages.

Bloomberg said the revamped Siri will be deeply embedded in the iPhone, iPad, and Mac operating systems, replacing the current Siri interface with a chatbot-style experience. The move positions Apple to better compete with AI offerings from companies such as OpenAI and Google.

The report also said Apple’s operating system updates this year will focus on integrating the chatbot experience, with fewer broader platform changes as the company prioritizes performance improvements and bug fixes.

Learn more about Apple’s AI strategy and how Siri is evolving into a generative AI chatbot.

Kezia Jungco

Kezia Jungco specializes in AI and other technology, rigorously testing and analyzing generative platforms with a particular focus on art generators, chatbots, and NLP tools. She has five years of expertise in crafting content across B2B and B2C sectors. Her portfolio includes in-depth coverage of artificial intelligence, data analytics, and CRM solutions for publications including eWEEK, Datamation, TechnologyAdvice, and Selling Signals.

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