What is AI Table?
AI Table is a next-generation, table-based data collaboration tool. It is an online, visual database application. AI Table lets you build relationships between tables and supports multiple views: Grid, Timeline, Calendar, Kanban, Gallery, and Form. Each view has its own scenarios and features, helping you efficiently present information and enable multi-user collaboration across your organization.
Unlike traditional spreadsheets, every column in AI Table has a unified field type, and every record is a single data entry. You can sort, filter, group, and otherwise operate on data views. With this data-driven approach, AI Table is ideal for data aggregation, dashboard analysis, task management, and report consolidation.
Business pain points solved by AI Table
1. Data management and visualization
AI Table offers a rich set of view options and dashboards. Create intuitive charts and dynamic dashboards with ease—no complex setup required—to analyze data trends comprehensively.
2. Difficult data security control
DingTalk AI Table Granular Access provides fine-grained permission management, enabling effective person-level data encryption and isolation within the same table to ensure data security.
3. Inefficient collaboration and communication
Comments, @ People, date reminders, and multiple notification options keep tasks on track. Use DingTalk AI Table Automation to send notifications, handle tasks, and update records automatically, accelerating team response and boosting collaboration efficiency.
4. Inconsistent data updates
When analytical data is stored across multiple tables, you can link the tables together using data associations. Update once and sync everywhere—no frequent manual changes—to ensure data consistency.
Advantages of using AI Table
Compared with regular spreadsheets
| Use case | ⚠️ Issues with regular spreadsheets | ✅ Advantages of DingTalk AI Table |
|---|
| Data collection | - High probability of manual input errors
- Data updates are not real time
- Data is scattered and hard to consolidate | - Automated data collection reduces errors
- Real-time data sync
- Centralized data management for fast aggregation and analysis |
| Group information | - Hard to flexibly group data by multiple conditions
- Grouped data is difficult to manage | - Flexible grouping and filtering
- Grouped data is easy to manage and update |
| Project management | - Hard to track task progress
- Difficult collaboration and untimely updates | - Task management and progress tracking boost project efficiency
- Supports multi-user collaboration and real-time updates |
| Multi-user collaboration | - Lack of effective collaboration mechanisms leads to duplicated or missed work
- Permissions are hard to manage | - Real-time collaboration and communication
- Granular Access with clear permission assignment and management |
| Multi-table linking | - Data redundancy and inconsistency
- Updates in one place are hard to sync elsewhere | - Data consistency and reduced redundancy
- Related Lookup and Automation keep data synchronized automatically |
| Operations management | - Limited data analysis capabilities
- Hard to monitor operations in real time | - Powerful data analysis and visualization tools
- Real-time monitoring, alerting, and automated reminders |
| Online visual information management | - Static tables struggle to present complex data intuitively
- Inconvenient updates cause delayed visualization | - Dynamic data visualization
- Real-time data updates for instant visual analysis |
AI Table use cases
Project management
Provides a clear and well-structured task breakdown and planning view, giving team members across functions quick access to the big picture for faster decisions and better collaboration.
Inventory management
Combine Forms + Formulas + Automation + Dashboards to manage and display end-to-end data such as stock-in records, inventory details, consumption, stock levels, and alerts.
Sales management
Use Granular Access to configure role-based control over sensitive customer data. Sales users can only see information about the customers they are following up with.
How to use AI Table
Create an AI Table
On the PC client, go to the AI Table Home page. You can create a blank AI Table or start from an existing template.
Share an AI Table
Click Share in the upper-right corner to share with colleagues in your organization for collaboration.
Create a Table
In the new AI Table, click Create in the lower-left corner to create a Table.
Click ... on the right side of the Table to rename it, edit its description, copy it, move it, or delete it.
Create a view
Click the + icon to the right of the view tabs at the top to create a view.
Highlight features of AI Table
🎉 Multiple field types with grouping and sorting 🎉
Each column in AI Table is called a Field. Fields are the headers of an AI Table—they define the type and format of every column, keeping your data structured and consistent.
🎉 One dataset, multiple perspectives 🎉
Multi-view presentation is the soul of AI Table. Depending on your data type and use case, you can present data in different views such as Grid, Kanban, Timeline, and Gallery.
Take resume collection for example: after gathering resumes, you can filter candidates across multiple dimensions, assign owners to track interview progress, schedule interviews, and visualize each candidate’s interview cycle time at a glance.
🎉 Automation workflows 🎉
Building automation workflows with AI Table dramatically improves collaboration efficiency and accuracy while reducing the risk of errors.
Trigger an Automation after form submission
Take an inspection scenario as an example: when a submission is marked Exception, AI Table Automation triggers a problem ticket sent to the designated group or person.
Create a ticket workflow after an issue is detected
Auto Reply to the Submitter
For a feedback scenario: after a question is submitted via a form, the handler is notified automatically. Once the resolution is updated in the table, the submitter is automatically notified.
🎉 Granular Access 🎉
Define custom roles to precisely control who can view and edit each Table. This enables finer-grained permission management and stronger data security.
🎉 Dashboards 🎉
Dashboards visualize your AI Table data. With simple configuration, you can quickly build a business overview.
🎉 Charts support “word cloud” 🎉
For manufacturing inspection scenarios, you can intuitively display “reasons for non-compliance,” enabling more precise data analysis.
🎉 Data linking with dynamic updates 🎉
In AI Table, working with data is like using a visual database. Every column has a fixed, standardized field type, and AI Table supports a wide range of field types to cover almost every enterprise collaboration scenario.
🎉 Efficient collaboration 🎉
AI Table supports multi-user collaborative editing, making joint data management fast and efficient.
🎉 Import and download Excel 🎉
AI Table now supports importing .xlsx files, other data sources, and other files from the document menu, helping you quickly populate an AI Table. You can also export data to local Excel files and back up attachments, making the process fast and convenient.
🎉 Save and create AI Table templates 🎉
AI Table templates are available. When creating a new document, you can choose a popular template that matches your needs to create an AI Table in one click, or pick a template from a blank document. If you have a great document you want to save as a template for yourself or others, save it to My Templates or Team Documents with one click.
AI Table success stories
🙋 Agile R&D management
R&D efficiency accelerator! How the “AI Assistant” wins at rapid iteration
🙋 Data management engineer
Build a data standards management tool with DingTalk AI Table
🙋 Test engineer
One table to rule them all! DingTalk AI Table delivers flexible, efficient project management
🙋 HR and Admin
Say goodbye to chaos! DingTalk AI Table makes asset management crystal clear
AI Table User Guide
Basic introduction
Video: Quickstart — AI TableAI Table introductionAI Table use casesDifferences between AI Table, Excel, and SpreadsheetsFAQBasic operations
How to group, sort, and filter dataHow to collaborate using AI TableGrid view paste auto-converts to matching field typesHow to use AI Table viewsAI Table fields
AI Table field introductionAI Table One-way Link fieldAI Table Both-way Link fieldHow to use Related Lookup in AI TableHow to use Lookup in AI TableAI Table Formula fieldAdvanced AI Table settings
How to use DashboardsAI Table AutomationAI Table Granular Access💡 AI Table tutorial videos
🖖🏼 Quickstart: getting to know AI Table
Open the attachment “What is AI Table.mp4” in DingTalk Docs.
Open the attachment “AI Table Views.mp4” in DingTalk Docs.
Open the attachment “Understanding AI Table Fields.mp4” in DingTalk Docs.
Open the attachment “How to Create an AI Table.mp4” in DingTalk Docs.
Open the attachment “How to Collaborate Efficiently with AI Table.mp4” in DingTalk Docs.
Open the attachment “How to Manage Data with AI Table.mp4” in DingTalk Docs.
Open the attachment “How to Visualize Data in AI Table.mp4” in DingTalk Docs.
Open the attachment “AI Table Templates Tutorial.mp4” in DingTalk Docs.
🚴🏼♀️ Advanced features: leveling up your AI Table skills
Open the attachment “Granular Access (1).mp4” in DingTalk Docs.
Open the attachment “Automation (3).mp4” in DingTalk Docs.
☄️ Hands-on practice: mastering AI Table
Open the attachment “Project (4).mp4” in DingTalk Docs.
Open the attachment “Retail Product Sales Template.mp4” in DingTalk Docs.
Open the attachment “AI Table Lookup Video.mp4” in DingTalk Docs.
Recommended templates
Browse AI Table templates
