AEF Aishu
Free
Ae Feishu is suitable for individuals and teams to quickly verify and implement.
AeFeishu
Core parameters and statistics
| Project | Specifications |
|---|---|
| Product Name | Ae Feishu |
| Category | AI Enterprise Collaboration |
| Delivery form | Web / SaaS / mobile |
| Supported Platforms | Web, Android, iOS, Desktop |
| Supported languages | zh-CN, en-US |
| Target users | Enterprise teams, remote collaboration teams, knowledge workers |
| User scale | Undisclosed |
| Pricing Model | Freemium / Subscription |
Platform coverage and user scale data are based on the official real-time page and third-party statistics. Ae Feishu is an AI-enhanced tool for enterprise collaboration scenarios that embeds AI capabilities into daily workflows in the form of "backend services" - users naturally receive AI assistance in meetings, documents, messages, and project management without the need to actively switch to independent tools.
User and market recognition
The enterprise collaboration tool track is already quite mature, with Feishu, DingTalk, Enterprise WeChat, Slack, etc. all occupying their respective market shares. Ae Feishu’s differentiation lies in embedding AI deeply into daily workflows, rather than existing as a standalone application. Judging from market trends, Feishu announced its full embrace of AI in 2025 and launched native AI functions such as smart meetings and smart documents, which is highly consistent with Ae Feishu's product direction.
At present, Ae Feishu has not disclosed market data or enterprise customer cases on a large scale. Judging from the product form, it may still be in the early promotion stage. Potential enterprise users can apply for a trial through the official website, first conduct a small-scale verification in some teams or specific scenarios, and then evaluate the feasibility of company-wide promotion.
Cost advantage
| Cost Dimension | Description |
|---|---|
| Free version | Try out core AI features and basic collaboration capabilities |
| Subscription version | Individual subscription is billed monthly/yearly; team version is billed annually per seat |
| Enterprise Edition | Customized deployment, dedicated support and data compliance solutions |
Compared with self-built similar AI collaboration capabilities (such as access to large model APIs + self-developed integration plug-ins), Ae Feishu has lower initial deployment costs and operation and maintenance complexity. Deduction of cost reduction and efficiency improvement: Taking a 50-person product development team as an example, an average of 30 meetings are held every week, and each meeting takes an average of 25 minutes to manually compile minutes. After using Ae Feishu's intelligent meeting assistant, AI automatically generates the first draft, and it only takes 5 minutes for manual review and correction. A single person saves about 10 hours per week, and a team of 50 people saves about 200 hours per month. This deduction assumes that the accuracy of AI minutes is above 85% and is used by all members of the team. The actual savings will depend on the type of meeting and the degree of AI adaptation.
Main functions
- Intelligent Meeting Assistant: Automatically generate meeting minutes after the meeting, extract key decision-making items and follow-up action items. AI can identify and summarize the speech content of different speakers, and supports organizing the minutes structure by role. Action items are automatically linked to the task management system and assigned owners and due dates.
- Message aggregation and intelligent archiving: Automatically classify and archive the information generated by the team in multiple channels such as chat, documents, emails, etc., and support semantic search. Archived information is automatically organized by project and timeline, forming a traceable team knowledge base.
- AI-Assisted Content Creation: Provides real-time AI assistance during document editing and message writing - including grammar correction, style suggestions (formal/lightweight/technical), content expansion, and snippet generation. Supports converting voice input directly into text and automatically structuring it.
- Intelligent schedule and task association: Automatically extract time nodes and tasks from meeting minutes and messages, and connect them with the calendar system. After AI recognizes the time expression, it automatically creates an expiration event and reminds relevant members before expiration.
- Cross-project information association: When the user references the decisions or data of project B when working on project A, AI automatically prompts the source and context of the associated information, reducing information omissions in cross-project communication.
Model and version evolution
| Version | Date | Key Changes |
|---|---|---|
| v1.0 (Public Beta) | 2026-07-14 | Multi-speaker recognition optimization, cross-document related search, document AI assistance, calendar integration |
| v0.9 (early version) | ~2026-06 | Basic generation of meeting minutes, single message archiving |
The version record shall be subject to the official release notes. The early version mainly verified the two core scenarios of meeting minute generation and message summarization. At that time, the accuracy of speaker recognition in multi-person conversation scenarios was about 65%. The current version introduces speaker identity vectorization matching technology, which improves the attribution accuracy in interruption scenarios to about 88%.
Technical advantages
- Deep adaptation to collaboration scenarios: Unlike general-purpose AI assistants, Ae Feishu's capabilities are designed closely around typical scenarios of enterprise collaboration—meetings, documents, messages, and projects. The model has been fine-tuned on the real collaboration data of the Feishu ecosystem and can understand the unique terminology abbreviations, project code names and team role relationships within the enterprise.
- Context understanding and cross-document association: A knowledge association engine using a graph structure, using documents, messages, tasks and members as nodes, and building association edges through semantic similarity and reference relationships. This global understanding is especially valuable when working on complex projects and long-term tracking tasks.
- Data Security and Permission Control: AI processing strictly follows the enterprise data permission system and will not access information across permissions. Tenant-level data isolation is adopted, and data of different enterprises are stored in independent encrypted partitions, which meets enterprise information security management requirements.
- Engineering capabilities: SaaS cloud deployment, supporting horizontal expansion. Processing speed and concurrency capabilities are subject to actual usage experience.
How to use
| Entrance | How to use |
|---|---|
| Web/Desktop | Log in to use the AI assistance function in the interface integrated with Feishu |
| Mobile | Use message summaries, AI reply suggestions and other functions on your mobile phone |
Typical usage process: Teams collaborate normally in work groups or documents → AI automatically completes information summary, task extraction and content suggestions → Users view the results generated by AI and confirm or adjust when needed. AI capabilities exist in the form of "backend services", which do not require users to actively switch to an independent AI tool, and the learning cost is low.
Product Pricing
| Package | Price | Contents |
|---|---|---|
| Free version | $0 | Basic AI features and collaboration capabilities |
| PRO | — | Advanced AI features + higher usage limit |
| Enterprise Edition | — | Customized features + dedicated support + private deployment |
Pricing. There are different pricing in different regions. Enterprise customers should confirm the physical location of data storage, whether the AI training data contains enterprise content (preventing enterprise data from being used for model training), and the commitment to AI feature availability in the SLA before purchasing.
Application scenarios
- Information synchronization for remote teams: In cross-time zone teams, Ae Feishu's meeting summaries and message archives help members who miss real-time discussions quickly grasp the core content. The time cost of "synchronizing information" can be reduced by more than 50%.
- Project management efficiency improvement: From the automatic generation of tasks from the meeting minutes of the project kick-off meeting, to document precipitation and version tracking during project execution, to information review during stage summaries, AI plays the role of information processing and knowledge precipitation in the entire project management process.
- Information bridge for cross-department collaboration: Different departments have different focuses and terminology. Ae Feishu's summary and correlation capabilities can provide customized information views for each role, reducing information loss in cross-team communication.
- New member onboarding acceleration: New members can quickly understand the project history, key decisions and team member division of labor through semantic search, shortening the time required from joining to independent output.
Applicable people
- Teams that require frequent meetings: Teams that require high-frequency communication such as project management, product development, and market operations. Based on 10 meetings per week, this saves 15-20 minutes of organizing time each time and 2.5-3.3 hours per week.
- Information-intensive positions: Knowledge workers who need to track multiple projects simultaneously. For positions that handle an average of 200+ internal messages per day, archiving and search functions can shorten the average time to "find a piece of historical information" from 5-8 minutes to less than 30 seconds.
- Remote Team Manager: Managers who manage teams across time zones and regions can use the information synchronization function to ensure the consistency of team information.
- Non-Fit Boundary: Highly confidential communications (such as those involving undisclosed strategic decisions or sensitive customer data) require confirmation that the data processing method complies with internal information security policies. In scenarios involving legal compliance, financial auditing, etc. that require strict accuracy, AI-generated content must be reviewed manually.
Comparison of competing products
| Comparative dimensions | Ae Feishu | Feishu AI | Slack AI |
|---|---|---|---|
| Core differences | AI deeply embedded in collaboration flow | Feishu native AI | Slack native AI |
| Price | Undisclosed | Feishu Enterprise Edition includes AI surcharge | $10-30/month |
| Covered Scenarios | Meeting + Document + Message + Schedule | Feishu Full Scenario | Message + Channel Summary |
| User evaluation | Unpublished | High (Chinese user group) | High (English user group) |
| Technical threshold | Low | Low | Low |
Summary and Outlook
Ae Feishu enters the enterprise efficiency market with the concept of "AI embedded collaboration". The core value is to allow AI to occur naturally in the user's existing work environment, rather than adding a tool that requires additional operations. The current product has laid the foundation in three directions: meeting summary, message archiving and content assistance.
Risk Disclosure: The product is in its early stages, and enterprise customer cases and third-party evaluation data have not been disclosed. The physical location of data storage, whether the AI function uses enterprise data for model training, the feasibility and additional costs of privatized deployment, and the retention and deletion policy of session data all need to be confirmed with the vendor before purchasing. It is recommended to start the pilot with 1-2 high-frequency meeting teams and run it for 2-4 weeks, focusing on evaluating the accuracy of meeting minutes and the search experience of message archives, before deciding whether to expand to the entire company.
Related tools: crewai, langchain
Version Info
- Public beta version :It is currently a publicly accessible version, and specific functions will be updated at a specific pace.
- earlier version :An early trial version, the core direction is consistent with the current version.
User Reviews