Apple Employees Use Internal ‘Enchanté’ AI Chatbot to Accelerate Work
TL;DR
- Internal Tool: Apple deployed Enchanté, a ChatGPT-like assistant, to employees in November 2025 for productivity tasks.
- Dual System: The company operates two AI tools – Enchanté for general tasks and Enterprise Assistant for corporate knowledge.
- Testing Strategy: Apple uses employee feedback from these internal tools to refine AI capabilities before consumer release.
- Privacy Focus: The tools run on Apple-approved models using local or private servers to protect company data.
While consumer-facing AI products remain in development, Apple has quietly rolled out sophisticated AI tools to its workforce.
Apple deployed Enchanté, an internal ChatGPT-like assistant, to employees in November for tasks spanning development to proofreading.
This strategic move reveals Apple’s approach of refining AI capabilities internally before public release, with employee feedback directly informing future consumer products. The tool resembles ChatGPT for macOS and operates on models approved by Apple.
Promo
Dual AI Assistant System
Building on this internal testing strategy, Apple deployed two distinct AI tools to employees. Enchanté operates on Apple-approved models running locally or on private servers, while incorporating Apple Foundation Models, Claude, and Gemini. Workers can upload documents and access Mac files for analysis within the platform.
In contrast, a second tool, Enterprise Assistant, functions as a knowledge hub containing company policies to health benefits information. Unlike Enchanté’s general productivity focus, Enterprise Assistant leverages Apple’s internal LLMs specifically for corporate knowledge management.
Both tools serve dual purposes: functioning as employee assistants while gathering performance feedback for future Apple Intelligence features. This approach enables Apple to refine AI capabilities using real workplace scenarios before consumer deployment.
Employee Testing and Feedback
Meanwhile, Apple encourages employees to utilize Enchanté as both a productivity tool and test platform, incorporating Apple internal documentation and guidelines. Workers can evaluate generated responses, providing crucial performance data for future development.
Additionally, utilizing an internally developed chatbot means Apple avoids concerns about internal data being uploaded to third-party servers. This approach aligns with Apple’s privacy-focused strategy while enabling comprehensive AI testing.
Strategic AI Development Timeline
This latest deployment builds on Apple’s progressive AI implementation. In 2024, the company tested a ChatGPT-like tool for AppleCare employees to accelerate technical support. Apple also tested Support Assistant in the Apple Support app using natural language processing.
Earlier reporting revealed a Veritas chatbot for Siri testing, demonstrating Apple’s methodical approach to AI development. Looking ahead, Apple plans to introduce an overhauled Siri powered by Gemini later in 2026 incorporating chatbot features.
As a result, Apple plans to apply lessons learned from Enchanté and Enterprise Assistant to customer-facing tools, ensuring refined performance through extensive internal testing before public release.
Industry Recognition and Scale
Beyond internal development, Wedbush analyst Dan Ives included Apple among his top five AI picks for 2026, alongside Microsoft, Tesla, Palantir, and CrowdStrike. Ives characterized Apple’s approach as largely invisible so far, focusing on integration into existing products rather than headline-grabbing chatbots.
His firm estimates that successful AI monetization could add $75 to $100 per share to Apple’s stock value over coming years. Apple’s advantage lies in its massive installed base of more than 2.4 billion iOS devices and roughly 1.5 billion iPhones, creating unprecedented scale for AI deployment once consumer features launch.
