飞书×豆包工作合体首秀：让AI进群、开会、写周报

Feishu’s 8.0 version launched on September 15, together with Doubao Work Partner, China’s first team-level AI agent product, is closely tied to the daily work of ordinary professionals, helping them cut down a large volume of repetitive, administrative tasks.

1. Highly accessible in practice: Users can add the AI agent to any Feishu group chat simply by searching its name, and deploy it on demand to draft documents, process multi-dimensional spreadsheets, schedule to-dos, organize meeting notes, retrieve files from cloud drives, initiate approval workflows, as well as handle common tasks such as information synchronization, document proofreading, weekly report compilation, and code analysis. It can take on nearly all routine tasks that a human user would complete within Feishu.

2. Reliable security with no unnecessary concerns: The agent’s permission settings are fully aligned with those of its user; it cannot access any internal information that the employee themselves is not authorized to view. After enterprises complete unified configuration, all staff can use the tool directly without individual setup, keeping adoption barriers very low.

The latest product update featuring native integration between Feishu and Doubao Work reflects emerging consumption trends in the AI-era enterprise services space, offering actionable references for brands on product development, brand partnerships, and internal management upgrades.

1. In terms of user demand trends, office users’ expectations for AI have shifted from standalone personal content generation tools to intelligent collaborators that can participate in full team workflows just like human colleagues. Users now expect AI to be deeply embedded across group chats, meetings, documents, approvals and other end-to-end work scenarios, taking over repetitive tasks to reduce collaboration friction.

2. In terms of product development logic, enterprise-focused intelligent products must balance efficiency and security. Drawing on Feishu’s permission design, AI tools should inherit enterprises’ existing account permission systems, and support admins to configure capabilities centrally, trace usage records, and control AI consumption, in order to address enterprises’ data security concerns.

3. In terms of brand partnership logic, Feishu and Doubao Work adopted a native integration model with connected accounts and shared context, rather than third-party plug-in style collaboration, to deliver a smoother user experience. This deeply integrated partnership model can serve as a reference for cross-brand co-innovation initiatives.

Feishu’s launch of a team-level AI agent in partnership with Doubao Work signals new growth opportunities in the enterprise services track, and provides actionable references for all types of business operators on efficiency upgrades and product operations.

1. In terms of market opportunities, enterprise demand for AI office tools has evolved from scattered personal utilities to intelligent collaborators capable of participating in full team workflows. Intelligent products that can connect to group chats, meetings and business systems, and take on tasks such as information synchronization, weekly report compilation and data performance reviews, hold broad growth potential.

2. In terms of replicable operational experience, the newly launched Doubao Work Partner is being rolled out gradually via targeted co-creation with selected enterprises first. This approach allows the product to be refined for real-scenario adaptability while building initial reputation among seed customers. This go-to-market strategy of small-scale co-creation followed by broader rollout can be directly applied to sellers’ own product operation processes.

3. In terms of efficiency gains, once such tools are officially opened for wider use, sellers can leverage AI to handle repetitive work including product material organization, internal information synchronization, and sales data reviews, reducing operational labor costs. Sellers are advised to monitor launch updates in advance to capture early efficiency dividends.

The iteration of Feishu 8.0 provides clear direction for factories looking to advance internal digital management and capture supporting business opportunities in the intelligent office track.

1. For internal digital management upgrades, when building collaborative management systems, factories can opt for collaboration platforms compatible with AI agents. The agents can take over administrative tasks including production meeting minutes compilation, production schedule spreadsheet updates, approval process follow-ups, and cross-departmental information synchronization, reducing non-production workload for frontline managers. As these agents’ permissions are bound to corresponding employee positions and can be centrally controlled by admins, core production data leakage risks can also be mitigated.

2. For business opportunity capture, collaboration platforms are currently undergoing systematic restructuring around AI agents. The number of Feishu functions opened to AI has grown from 247 to 767 in just over half a year, creating clear supporting demand for hardware adaptation, scenario-specific connector development, and industry-specific skill module development targeting intelligent office scenarios. Factories can plan ahead for the design and production of relevant supporting products.

The integrated update of Feishu and Doubao Work clarifies development trends in the enterprise collaboration services space, and provides references for service providers to identify customer pain points and build tailored solutions.

1. In terms of industry development trends, AI office tools have moved beyond the personal assistant stage to enter the era of team-level agents. Agents need to access all scenarios—including group chats, meetings, documents, approvals and business systems—just like real employees, independently complete specific tasks such as information synchronization, document proofreading, weekly report compilation and code analysis, and accumulate team knowledge to reuse organizational experience via long-term memory.

2. In terms of core customer pain points, previously deployed third-party AI tools suffered from disconnected accounts, broken context links, and disorganized permission management when integrated with collaboration platforms. These issues prevented deep alignment with customer business processes and created data security risks, leaving many enterprises hesitant to use AI for internal work.

3. In terms of solution design, when delivering intelligent services to enterprises, service providers need to build deep integration with customers’ existing collaboration systems, inherit their original account permission frameworks, and support admins to centrally control consumption and trace usage records. This allows AI to be embedded into actual workflows, rather than being limited to simple content generation functions.

The iteration logic of Feishu 8.0 offers a directly replicable practical sample for all types of platforms to adapt to user demands in the AI era and optimize platform operation and management.

1. In terms of latest AI adaptation practices, Feishu has carried out systematic restructuring to support AI agents: through iterative CLI capabilities, it has opened 767 function points to agents, allowing them to use nearly all platform tools just like regular users. It has also connected its account system with Doubao Work to enable full context invocation, meeting users’ demand for on-demand AI access across all scenarios.

2. In terms of platform operation and management experience, to address security risks brought by AI integration, platforms need to establish clear permission control mechanisms that bind agent permissions to user identities, while providing admins with a unified management portal to trace usage records, set AI consumption caps, and control high-consumption scenarios, balancing use efficiency and data security.

3. In terms of product iteration direction, platforms should prioritize demand for team-level intelligent collaboration, launch team-level agent products with independent identities, memory and permission systems, and refine products through targeted enterprise co-creation before rolling out to the full customer base, to avoid products being disconnected from real-world use cases.

The launch of Feishu 8.0 and its native integration with Doubao Work is a landmark event in the development of the AI collaborative office industry, highlighting multiple new industry trends that carry high value for ongoing tracking and research.

1. In terms of new industry trends, collaborative office platforms are evolving from human-only collaboration tools to intelligent work platforms serving both human users and AI agents. Feishu’s systematic opening of data and tool capabilities to agents—with the number of opened function points growing from 247 to 767 in just over half a year—marks the formal entry of AI agents into enterprise-level team collaboration scenarios, expanding their service scope from individual users to entire organizations.

2. In terms of business model innovation, the newly launched Doubao Work Partner adopts a native integration model between the collaboration platform and AI vendor, sharing a unified account system and full context access. This resolves longstanding pain points of third-party plug-in AI access, including data silos, fragmented user experience, and ambiguous permission boundaries, forming a new service model of “collaboration platform + native enterprise-grade Agent”.

3. In terms of industry practice direction, team agents are equipped with independent identities, permissions and memory, allowing them to accumulate and reuse team experience, while enterprises can centrally configure permissions and control usage. This provides a new practical path for enterprise data security management and organizational efficiency upgrades in the AI era. Its subsequent real-world implementation outcomes and supporting management rules warrant sustained tracking.