Read and Review Automation Anywhere Documentation

Automation 360

Close Contents


Open Contents

Intelligent Document Processing solutions feature comparison matrix

  • Updated: 2022/06/15
    • Automation 360 v.x
    • IQ Bot
    • Digitize

Intelligent Document Processing solutions feature comparison matrix

Review the differences between Automation 360 IQ Bot and Document Automation by comparing the features in them.

Automation 360 IQ Bot Document Automation
Administration and setup
Installation Separate installer Installed as part of the Control Room
Database administration Separate database; requires additional effort for backups and maintenance Uses the Control Room database; no additional backup or maintenance needed
Server configuration Requires additional SSL configuration, RabbitMQ administration, HA and DR Works out of the box
Learning instance configuration
Alias management (keywords) No way to add or remove field aliases for domains, only for document groups Users can view, add, or remove field aliases for the learning instance
Confidence threshold Does not work out of the box; server-level configuration Helps to catch false positive outcomes; field-level configuration
Field order and field name customization Not supported Helps to improve validation efficiency
Field configuration Must be done for every group Needs to be done only one time for a learning instance
Ability to add and remove fields from the learning instance No Yes
Extraction capabilities
Pre-trained models Domains required training Can process invoices, receipts, and utility bills
Handling document variations Classifier relies on document layout and training. Documents uploaded with a new layout are sent to a new document group, which requires training. Some docs could not be classified. Layouts are identified using an object detection model to find key-value pairs. It is not necessary to configure all the fields in a learning instance before uploading documents.
Training process Each group needs to be manually trained before it can process documents Learning instance extraction improves based on changes users make in the Validator
Output format CSV only CSV or JSON
Human review and validation
Validation queue management No Use filters and search to find specific learning instances or documents
End-to-end automation
Task bots Must be manually created Control Room automatically creates task bots for a learning instance
See status and history of uploaded documents No Yes
Customizable document processing workflow No Yes
Retention policy No Supported by AARI storage

See Cloud storage retention policy

Secret management No Can use credential vault to store Google Document AI credentials
Send Feedback