What challenges did Orby AI face before AI implementation?

Organizations needed to process, validate, and organize high volumes of documents and reduce manual extraction work. Complex workflows often required substantial upfront effort before automation could begin.

What was the impact of the AI solution?

The approach enables end-to-end automation for document-centric repetitive tasks. The system improves efficiency and productivity across operations. Orby AI becomes more accurate over time from human feedback.

Source

GCP

Orby AI automates document-centric processes with Document AI processors

Use case typeDocument processing automationUpdated Oct 24, 2023

Orby AI helps organizations automate document-centric repetitive tasks such as contract processing, email processing, and invoice validation. The platform uses Google Cloud Document AI processors, including Enterprise Document OCR and Form Parser, to extract text, layouts, key-value pairs, and tables, then learns customer workflows and generates automation suggestions after human validation. Orby AI follows an observe, learn, and automate approach that improves downstream recommendations and becomes more accurate over time from human feedback.

Organization: Orby AI
Industry: Other
Location: United States
Published: October 2023

Reported outcomes

Strategic outcomes

Cost efficiencyAutomated repetitive document workflowsOther strategic outcomeImproved efficiency and productivity

Primary read

Use case focus

Showing 2 of 2

1Document processing automation
2Workflow automation

Organizations needed to process, validate, and organize high volumes of documents and reduce manual extraction work.
Complex workflows often required substantial upfront effort before automation could begin.

Orby AI uses Document AI processors to understand documents and extract structured data.
The platform learns customer workflows from user activity, generates automation suggestions, and applies human validation before automating repetitive steps.
Orby selected Enterprise Document OCR and Form Parser for high-quality text detection, multilingual support, and broader integration with the Google Cloud ecosystem.

Technologies

Document AI Enterprise Document OCR Form Parser

The approach enables end-to-end automation for document-centric repetitive tasks.
The system improves efficiency and productivity across operations.
Orby AI becomes more accurate over time from human feedback.

Architecture

Orby AI uses Google Cloud Document AI processors as a foundational document-understanding layer. The platform observes user activity, learns workflows, generates automation suggestions, and after human validation automates repetitive tasks. Document AI extracts text, layouts, key-value pairs, and tables to improve downstream recommendations.

Sources & evidence1

Groundedness: 5/5Type: Blog PostPublished: Oct 24, 2023Publisher: Google CloudEvidence: VendorConfidence: Medium

Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

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Customer evidence