What is Super AI?
super.AI starts by uploading documents and describing the task, with the Agent orchestrating the model, output structure, routing, and validation steps, while also displaying the models and prompts used as part of the decision-making process. Currently, the official website highlights use cases in logistics, billing, warehousing, and e-commerce document scenarios, and it also allows users to build field-extraction and comparison workflows tailored to specific tasks.
The workflow can include triggers such as email, filtering steps, and write operations. After execution, personnel review any uncertain results and provide feedback for correction, while execution logs are retained. The accuracy rate, cost, and processing scale displayed on the page are based on demonstration cases and do not guarantee 100% accuracy for all documents or eliminate the need for manual verification; integration and pricing are confirmed according to the enterprise’s actual requirements.
Key features
Natural Language Definition of Document Workflow
Field Extraction and Structuring
Models and routes are visible
Checksum and manual correction
Triggers and Filters
Execution Audit Log
Use cases and audience
Logistics, Finance, Operations, and Document Automation Teams
- Organize logistics and billing fields
- Verify information discrepancies between documents
- Establish a repetitive document processing workflow
Authorization documents, business rules, and integration settings
Structured fields, validation results, and processing flow
How to use
- 01
Provide authorized sample documents and clear field rules.
- 02
Check the generation process, validation, and manual review points.
- 03
Run a test and verify the output and logs before integrating with the business system.
Official website & sources
Updated on 2026-10-25
