At the recent "AI DingTalk 1.1 New Product Launch and Ecosystem Conference," DingTalk and Xiaoice jointly launched the first digital employee smart hardware in the AI product ecosystem — AI Front Desk Hi1. This product, with its interactive capabilities of "being able to see, hear, and answer accurately," aims to redefine enterprise reception service standards by introducing a new form of "AI hardware + digital employee."

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Addressing Pain Points, Unlocking Human Value

Targeting pain points such as repetitive work at traditional front desks, lack of coverage during non-working hours, inconsistent service standards, and missing data, Hi1 standardizes and automates processes like greeting guests, registration, and consultation. Its core value is reflected in four dimensions:

  • Intelligent Reception: Supports 24/7 proactive greeting, face recognition registration, and business Q&A, enabling intelligent diversion of visitors, packages, and food deliveries.

  • Flexible Configuration: Enterprises can define reception processes, knowledge bases, digital avatars, and multiple languages as needed.

  • Data Intelligence: Automatically records and analyzes visitor data, using AI tables to provide decision-making support for enterprise operations optimization.

  • Multi-Scenario Adaptation: Offers two forms — upright and desktop — covering diverse spaces such as lobbies, front desks, kiosks, and meeting rooms.

From Online to Offline, Opening a New Path for Human-Machine Collaboration

As "the first AI business card of the enterprise," Hi1 marks a key step in Xiaoice's digital employee technology system moving from online services to offline entities. It not only provides small and medium-sized enterprises with 24/7 standardized technological services but also demonstrates the collaborative innovation between DingTalk and Xiaoice in integrating AI technology with real enterprise needs.

Industry experts analyze that the implementation of AI Front Desk Hi1 provides a practical foundation for the large-scale application of digital employees in commercial scenarios, officially opening up a new path for intelligent service through human-machine collaboration, helping enterprises achieve automated reception, standardized service, and data-driven operations.