Three products under Ziran AI: Ziran Qianliyan sees the data, Ziran Jinhua Nao accumulates knowledge, and Ziran Robot completes cross-system work—letting people do the things that require judgment. The core philosophy is "see it, think it through, get it done."
Main capabilities: As a cloud-native RPA engineering platform, it includes Studio design, Robot execution, and intelligent process assistant scheduling. It uses a cloud-native B/S architecture with zero client installation. It is the first in China to offer continuous capture, so business colleagues can also build processes. It supports element recognition across all platforms, including SAP, DingTalk, WeCom, and desktop applications. Through an AI brain + RPA hands and feet, processes can be built using natural language. The evolving enterprise AI brain is deployed inside the enterprise, connects to the enterprise's own large models, and is not tied to an office ecosystem. Dual-wheel model: AI employee copilot + AI enterprise brain.
Differentiating features: Not tied to an office ecosystem, it connects to the existing toolchain; not tied to a large model, it reuses already deployed models; start from one scenario and gradually roll it out across the whole company. The entire deployment runs in your own cloud account or data center, not public cloud SaaS, and data remains within the enterprise throughout. It does not require teams to migrate to a particular office platform; whether using Feishu, WeCom, or self-built systems, it connects to the existing toolchain. It integrates with already deployed large models, with both domestic and international options available, reusing past model investments. Leveraging 5 years of RPA engineering experience, it can directly operate the interface to complete tasks even for legacy systems without APIs.
Usage and application scenarios: It provides a social media data collection Agent that can regularly collect public-domain and creator data from Douyin, Xiaohongshu, and Bilibili, and automatically sync it to Feishu Bitable. It covers Douyin, Xiaohongshu, Bilibili, and Boss Zhipin, with one-click sync to Feishu Bitable, automatic column creation, incremental collection by hour or by day, deduplication, and failure retries.
Typical implementation cases:
- Restaurant chain with 113 stores, 4 platforms, 3,700 pieces of content/month: spanning Beijing, Zhengzhou, and Guangzhou, 4 social platforms (Xiaohongshu, Douyin, Weibo, Video Account) with an average of 3,700+ pieces of content and comments per month, and 7 levels of management. The solution uses Feishu Bitable as the foundation to achieve cross-platform data collection + AI grading of comments + Feishu Bitable回流 + S-level food safety 30-minute response chain + automatic weekly and monthly reports, and has been included in the Feishu App Center.
- Central enterprise financial shared service center monthly closing: a 9-person general ledger team, monthly closing took 24 person-days, and they worked overtime until early morning for the 3 days before month-end. The project cycle was 4 months; after go-live, the actual monthly closing input was 4 person-days, and the team was readjusted from "operators" to mainly "financial analysis."
- Cross-platform review monitoring: 200 stores with 3,000 reviews per day, scattered across 5 platforms. Negative review response took 6-12 hours, while the consumer decision window is only 2 hours. It enables cross-platform collection, intelligent grading, Feishu回流, and话术辅助，将差评响应从6小时压到5分钟。
适用场景： 适合需要跨系统自动化、数据采集、财务月结、评价监测等流程的企业，尤其适合数据敏感型企业、已有大模型部署的企业，以及不绑定特定办公生态的组织。
限制： 暂未提供明确的功能限制或使用门槛信息。
