UST SmartOps™ uses cognitive automation to intelligently and continuously accelerate business opportunities by reducing costs, streamlining efficient operations, and uncovering unrealised growth revenues for your business.
SmartOps Release 6.3.0 & 6.3.1

New business capabilities

Capability Vertical Horizontal Links
Independently Deployable Invoice Packaged Workflow
  • Enabled US Locale with 14 Fields Of Interest including line items from tables with borders
  • Pre-processing pipeline for documents
    • Ability to choose from list of pre-processors for individual / batch of documents
      • Splitting of multiple invoices in a single file
      • Conversion of TIFF files to PDF
      • Orientation correction
      • Grayscale conversion
      • Binarization of documents
      • External REST API invocation for pre-processing
    • Horizontal scalability enabled at pre-processor level
  • Ability to view original file in the case of split invoices
  • Ability to manually enter invoice data for incorrectly split multi page invoice documents
  • Approval hierarchy enabled workflows
  • Invoice assignment enabled for Admin (Supervisor) user
  • Analytics section enabled for Admin (Supervisor) user
Any FinOps

Key technical capabilities

  • Improvements to Skills Designer
    • Capability to support multiple schedules in scheduler workflows
    • Redesigning of Workspace folder structure
    • Ability to mark a Packaged Workflow Skill as Golden / Ready To Use
  • Improvements in Packaged Workflow Framework
    • Enables creation of project specific workflows
    • Usability improvements to Project Configuration screens
      • Support for different input element types
      • Grouping of configuration fields
      • Wizard-like experience in defining configuration
    • Ability to configure multiple scheduled workflows
    • Improved project configuration validation for mandatory fields
  • Dynamic display of components list based on available Packaged Workflows / Products
  • Kubernetes implementation in DI environment
  • PWF Stack Groups Optimization
 
Known Issues / Limitations

Pretrained Models List