Advanced teams use AI with Feishu!
Recently, many friends have mentioned to us: they saw Feishu on CCTV.
Indeed, the brand promotional video "Advanced Teams, AI with Feishu," co-created by Feishu and nine leading teams from industries such as manufacturing, chemicals, consumer goods, e-commerce, pharmaceuticals, and automotive, has now debuted across multiple channels on CCTV.
At the same time, in airports and high-speed rail stations in cities including Beijing, Shanghai, Shenzhen, Guangzhou, Hangzhou, Suzhou, Chengdu, Wuhan, and Qingdao, you can also spot Feishu alongside 221 leading teams. The real-world AI applications within these top-tier enterprises are sending a clear message: advanced teams are already leveraging Feishu to integrate AI into their daily workflows.
The evolution from "advanced teams use Feishu first" to "advanced teams use AI with Feishu" reflects more than just a slogan change—it signifies a transformation in how enterprises work. AI rooted in Feishu is gradually entering real work environments, participating in critical workflow stages, and solving practical problems.
In factories, AI helps engineers detect production anomalies early; beside high-risk equipment, AI pushes hazard alerts directly to responsible personnel; inside stores, AI replaces supervisors in reviewing inspection photos; behind live-streaming studios, AI assists operations teams in rapidly generating product copy; at R&D sites, AI reads through massive data first, returning time to true innovation.
AI is becoming a powerful productivity tool relied upon daily by advanced teams. Meanwhile, Feishu is evolving into a platform enabling seamless human-AI collaboration.
01 Advanced Teams Use AI to Maintain Baseline Standards
In many industries, a single missed inspection, misjudgment, or delay can result in tangible costs—or even safety risks. In the past, issues were identified manually; now, AI monitors 24/7 and proactively triggers system alerts. Previously, resolving abnormalities required层层 communication; today, AI automatically initiates processing workflows—achieving resolution in one step.
Pengfei Group
AI + Safety Monitoring
In multiple high-risk production areas, AI has brought transformative changes to Pengfei’s safety management. Frontline workers use Feishu’s multi-dimensional tables combined with AI to build their own AI monitoring systems. Through image recognition, the system automatically warns of violations and diagnoses faults, shifting maintenance from reactive to proactive prevention, thus establishing a multidimensional safety protection network. This system has boosted inspection efficiency by 240 times and emergency response efficiency by 9 times. More importantly, since its implementation, the system has achieved a 100% personnel safety rate, creating a solid lifeline for high-risk plants.
Sunny Optical Technology
AI + Product Quality
As a globally leading optical components manufacturer, Sunny Optical maintains defect control precision down to 3 microns (less than one-tenth the width of a human hair). When production yield fluctuated in the past, engineers had to manually extract data from seven different systems, taking two to three days. After adopting Feishu, they built a unified production data management system using no-code tools and integrated AI for automatic alerts, improving anomaly handling efficiency and shortening processing cycles by half a day.
EHang Intelligent
AI + Instrument Calibration Alerts
During aircraft manufacturing, every component must be verified using measuring instruments. Previously, instrument data was scattered across offline Excel sheets, making real-time collaboration slow and requiring dedicated staff to manually track each item. Now, the team uses Feishu’s multi-dimensional tables to build a “Calibration Alert System for Measuring Instruments.” AI automatically inspects and notifies all responsible parties, ensuring testing equipment always meets standards. What used to take two hours of manual follow-up now takes just two minutes—with 100% accuracy. Reliable test results mean quality products and assured flight safety.
02 Advanced Teams Use AI to Rebuild Operations
If manufacturing and industrial scenarios prioritize risk control, then consumer and e-commerce sectors prioritize speed above all. In fast-paced industries, people cannot afford to be held back by repetitive tasks. By bringing AI into e-commerce and operational workflows, operation teams can free themselves from tedious, mechanical work and redirect their energy toward judgment, creativity, and strategy.
Chabaidao
AI + Store Operations
Facing a vast network of over 8,000 stores, Chabaidao leveraged Feishu's open intelligent assistant creation platform to build an AI assistant named "Chacha" specifically for franchisees. When store staff encounter questions related to operational SOPs, equipment management, or marketing campaigns, they can directly ask Chacha, which retrieves answers from the enterprise knowledge base. This reduces repetitive inquiries from frontline stores, allowing supervisors to focus on higher-value tasks.
Jiaoge Pengyou
AI + Live-streaming Operations
Traditional e-commerce product selection relies heavily on manual effort—inefficient, time-consuming, and unable to quickly capture market trends or identify potential hit products. Jiaoge Pengyou deeply integrated Feishu’s multi-dimensional table AI with their self-developed “Friend Cloud AI Live-streaming E-commerce Business Middleware” to train a “Hit Product Screening Model”: completing the entire process—from identifying market trends and selecting promising items to connecting with suppliers—in just 60 seconds, boosting efficiency by over 99%. Additionally, AI automatically generates accurate communication scripts and product presentation content, increasing hit product success rates by 30%.
ZUOZHE Home
AI + Logistics Efficiency
In cross-border logistics, packaging labels sent overseas are known as the “product ID card,” containing 35 types of information per label. Any minor error could lead to significant losses. In the past, manual verification made it difficult to completely avoid mistakes. Now, ZUOZHE has developed a new approach combining RPA and Feishu AI: RPA automatically captures quality inspection images uploaded from factories, while AI automatically recognizes text within the images and precisely compares them against internal data, instantly detecting discrepancies. Processing 4 million images monthly, Feishu AI consumes only 9,900 yuan worth of tokens. With an annual investment under 100,000 yuan, the company saves 2 million yuan annually—achieving “big results with minimal cost.”
03 Advanced Teams Let AI Participate in Collaboration
Beyond automating “repetitive labor,” AI is now entering areas where businesses rely most on expert judgment. The value of AI lies not only in saving time but also in helping companies consolidate complex experiences, fragmented data, and professional insights. People are no longer bogged down by systems, data, and processes—they return to what matters most: making judgments, driving innovation, and making decisions.
Yongzhuo Holding
AI + Blast Furnace Agent
At Yongzhuo Holding, blast furnaces were once opaque “black boxes.” Ironmaking processes are complex, and many decisions relied on veteran technicians’ experience. Now, Yongzhuo uses Feishu AI to build a blast furnace intelligent agent that connects production data, process expertise, and on-site tasks, enabling AI to assist with real-time insights, proactive alerts, and decision recommendations. Processes once dependent on human oversight and oral tradition have become intelligent systems that are documented, reusable, and collaborative. Task processing efficiency has improved by 75%, shift handovers have been reduced from 30 minutes to 5 minutes, saving 2,250 hours annually and cutting costs by approximately 2.56 million yuan.
BAIC Foton
AI + Digital Colleague
At BAIC Foton, factory operations aren’t lacking in systems—but too many disparate systems and scattered data have long forced employees to “serve the systems.” They’ve built a data foundation using Feishu AI and multi-dimensional tables, creating an AI digital colleague named “Changchao Xiaofu.” It integrates over 1,000 business forms and connects industrial systems like ERP and MES. As a result, daily operation reports have been shortened from 2 hours to 3 minutes, safety inspections can run intelligently 24/7, and order creation, task tracking, and closure are automatically pushed forward. AI is no longer just a Q&A assistant—it has become a “digital colleague” in factory operations, significantly enhancing operational efficiency.
Yangtze River Pharmaceutical
AI + Target Research
At Yangtze River Pharmaceutical, researchers spend significant time retrieving, reading, and organizing literature, leaving little room for hypothesis formulation and experimental design. After building a “Target Information Research Bot” with Feishu AI, AI now handles much of the reading and key-point extraction, providing Q&A support. Literature analysis speed has increased more than tenfold, large file processing has been reduced from several hours to 10 minutes, and target review reports have been compressed from 2–3 months down to two weeks.
Beneath these transformations lies a common thread: AI is no longer a detached tool hovering outside business operations—it has become embedded within the daily workflows enterprises use. Reading data in multi-dimensional tables, retrieving answers from knowledge bases, triggering alerts in workflows, pushing collaboration via messages, and helping teams execute tasks at specific business sites. We believe the AI enterprises need is not merely an entry point for answering questions, but a work partner capable of understanding business, connecting processes, and collaborating with teams.
In the past, Feishu made collaboration between people more efficient and seamless; today, Feishu makes collaboration between humans and AI more natural and intuitive. A new way of working is unfolding here.
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