Fibocom has positioned Feishu as one collaboration platform for its AI First strategy. Any internal-efficiency improvement should be judged through rollout and process data.
According to the announcement, Fibocom and Feishu recently held an AI launch event and signing ceremony in Shenzhen. Fibocom Chairman Zhang Tianyu, CEO Ying Lingpeng, Feishu Greater Bay Area Commercialization General Manager Xiong Fei, Feishu customer-success representatives and delegates from both sides attended. The parties described an integrated collaboration platform and AI capabilities as the basis for planned work on organizational efficiency, knowledge accumulation and AI application implementation in support of Fibocom's AI First strategy. These are announced plans rather than measured results; buyers should confirm the current capabilities, responsibilities and deployment scope in documentation and a pilot.
Fibocom and Feishu Signing Ceremony
Two Decades of Industry Expertise, Building Three Core Business Systems
According to Fibocom’s public profile, the company was founded in 1999, is headquartered in Shenzhen and works across three stated business areas: wireless communications, AI + robotics and intelligent vehicles. It describes its offer as integrated full-stack hardware and software solutions for customers in multiple markets. Its founding date, A-share and H-share listing history, claimed market position, solution breadth and current business scope should be checked against exchange filings, company disclosures and a technical demonstration.
Fibocom describes its direction as a move from connecting devices toward more intelligent connectivity, with artificial intelligence forming part of its development plans.
Leveraging Feishu as Foundation to Drive Intelligent Upgrades
Fibocom Chairman Zhang Tianyu described AI-driven change as a reason for enterprises to adapt. He said the company expects Feishu to support internal efficiency, business and R&D transformation, and more systematic and intelligent decision-making. Those are management objectives, not verified outcomes; the scale of any improvement should be measured against pre-rollout process indicators.
Zhang Tianyu, Chairman of Fibocom
To achieve this goal, Fibocom will connect various business units and teams through a unified digital work platform, making Feishu a key supporting platform for its AI First strategy.
Ying Lingpeng, CEO of Fibocom, believes that for an enterprise to maintain long-term competitiveness in a rapidly changing technological environment, it must cultivate continuous learning and evolutionary capabilities within the organization. In this collaboration, he will personally serve as the "Chief Experience Officer of Feishu," leading from management to promote tool adoption and optimization.
Ying Lingpeng, Chief Executive Officer of Fibocom
Fibocom plans to connect business units and teams through a unified digital work platform, use Feishu to support information flow, cross-departmental collaboration, knowledge accumulation and sharing, and trial its AI features in daily office and business scenarios. Employee adoption and process changes should be evaluated through training, permissions, usage, error rates and business measures gathered during the rollout.
Co-building an AI Application Ecosystem to Create an Intelligent Organization
Xiong Fei, General Manager of Feishu Commercialization Greater Bay Area, said: "For enterprises to scale AI adoption, they need rich enterprise context, easy-to-use and accessible AI tools, enterprise-level platform support, and clear application standards and incentive mechanisms. Feishu aims to integrate all these elements into one cohesive platform."
Liu Zhao, Head of Feishu South Region Solutions and Customer Success, said the Feishu team plans to work with Fibocom to refine application scenarios, advance implementation and iterate through practice. He also expressed an intention to translate the announced directions into specific projects and complete each task. These are forward-looking commitments from the participants; progress should be checked through named owners, project scope, milestones and acceptance records.
As Fibocom expands from wireless communications into AI-related work, it has positioned Feishu as a digital foundation supporting organizational collaboration and intelligent upgrades. The source’s “fully connected” language is an ambition rather than a guaranteed outcome; results will depend on current features, integration design, employee adoption and measured pilot evidence.
Teams evaluating a similar deployment should confirm current features, trial scope, service terms and acceptance criteria with the vendor.