--- id: "en/automation-overview" title: "Automation Tasks" language: "en" description: "Automated task overview, permission drive, multi-task concatenation and execution weight." canonical_url: "https://www.babel.cc/public/babelwiki/en/automation-overview.html" markdown_url: "https://www.babel.cc/public/babelwiki/ai/en/automation-overview.md" alternates: {"en": "https://www.babel.cc/public/babelwiki/ai/en/automation-overview.md", "zh": "https://www.babel.cc/public/babelwiki/ai/zh/automation-overview.md"} reading_note: "文档记录不等于当前部署能力;以实际版本、授权模块与配置为准。保留原文的可选、限制及待确认说明,勿补猜接口。 / Documentation is not a guarantee for every deployment. Preserve optional-module requirements, limitations and unresolved API contracts." --- # Automation Tasks Automated task overview, permission drive, multi-task concatenation and execution weight. ![Automation Tasks and the Create Survey entry](https://www.babel.cc/public/babelwiki/assets/images/survey-automation-entry.png) *The page provides file-processing tasks and a Create Survey shortcut.* **Create Survey** opens the Formbricks-based editor to design a survey and publish a response link, including anonymous feedback. This is a creation shortcut, not an upload-triggered task, and it does not participate in the execution priorities below. See [Create Surveys](https://www.babel.cc/public/babelwiki/en/survey-create.html). Facing the growing number of digital assets, the traditional manual file management model can no longer meet the demand for efficient circulation. The "automated task" engine launched by BabelBird aims to hand over tedious and repetitive file processing actions to the system background for automatic execution. By establishing a "self-organizing and self-standardizing" intelligent circulation system, the cost of manual intervention is significantly reduced, allowing the team to focus on core business creation. Automated tasks are included in the standard version and users do not need to purchase it separately. Core operating mechanism: Flexible permission-driven: Relying on the platform's extremely fine-grained permission management system, users with corresponding permissions on the target network disk or folder can independently configure, turn on or off specific automation tasks as needed. Multi-task flow concatenation (Workflow): Automated tasks do not run in isolation and support the free combination of multiple rules to form a workflow. For example: after a file is uploaded, the system can first trigger "automatic rename" to standardize the file name, and then immediately trigger "automatic sorting" to archive it to the relevant directory, achieving multiple steps in one go. Continuously expanding capability matrix: The automation engine is highly scalable. In addition to the existing basic functions, the platform will continue to access more automated processing nodes to meet increasingly complex business scenarios. Currently supported core tasks (including but not limited to): Automatic renaming: Unify and standardize naming according to preset rules (such as keyword replacement, case conversion). Batch rename: Apply naming rules once to selected files, useful for historical cleanup, photo archiving and migration intake. See [Batch Rename](https://www.babel.cc/public/babelwiki/en/batch-rename.html). Automatic organization and cleaning: Automatically classify archived files based on trigger conditions, or clean up space regularly based on policies. Automatic PDF conversion and signature: Automatically generate a PDF copy of the source file, or stamp the company signature in the cloud. Create folders in batches: Generate a standard business directory tree with one click by importing data templates (such as Excel). ### Multi-task collaboration and execution flow weight In complex business scenarios, multiple automated tasks are often configured in one folder. In order to ensure the logical rigor and security of data processing, a strict automated processing sequence is preset at the bottom of the system. The specific execution weight (the higher the value, the priority for execution) is as follows: Automatically clean folders (weight 10): highest system priority. If there are qualified cleaning tasks, they will be executed first to avoid investing subsequent computing power in invalid data that will be discarded. Automatic extraction (weight 9, optional for private deployments): Extract configured archives after upload before subsequent processing. This is separate from automatic file organization. Automatic renaming (weight 8): Priority is given to completing the standardization and unification of naming before files enter classification and archiving. Automatic format conversion category (weight 7): Prioritize conversion tasks such as transferring PDF, pictures or audio and video formats. Automatic sorting/sorting (weight 6): Executed as the end node of the flow. This means that core pre-standardization operations such as cleaning, renaming and format conversion have been completed before files are moved and classified. ## Automatic extraction: confirm the configuration first Automatic organization in the standard edition does not include extraction. Automatic extraction is a separate option for private deployments and can be customized to customer requirements. Capabilities and configuration entry points depend on the project delivery. Once enabled, it can extract specified archives after upload; the following five areas can be configured to meet customer requirements: | Area | Configuration | | --- | --- | | Archive formats | Configure which archive formats trigger extraction; the deployed extraction service provides the available format list | | Password-protected archives | Configure how password-protected archives are handled | | Destination folder | Configure where extracted files are saved | | Name conflicts | Configure how existing files with the same name are handled | | Original archive retention | Configure whether the original archive is retained after extraction | Available choices and defaults depend on the deployment configuration. Confirm multi-volume archives, size limits, incorrect-password handling, partial failures and retries with the implementation team. After initial setup, upload a small, non-sensitive archive and check the destination, file count, contents, name-conflict handling and original-archive retention before applying the rule to a production folder.