AI Automation

What is AI Automation?

The use of artificial intelligence to execute business processes that require judgment, pattern recognition, or flexible decision-making tasks that cannot be handled by rules-based automation alone.

How it differs from traditional automation

Where traditional robotic process automation (RPA) follows fixed instructions on structured data, AI automation handles variability:

• Unstructured documents in inconsistent formats
• Decisions that depend on context rather than predefined rules
• Processes where inputs change in ways a static workflow cannot anticipate

Where AI automation applies

In practice, AI automation most commonly applies to document-intensive processes, where the combination of format variability and decision complexity makes rule-based approaches insufficient. Key use cases include:

• Invoice processing
• Claims handling
• Loan origination
• Contract review

Core technologies

AI automation technologies span several disciplines, deployed in combination to handle the full range of inputs, decisions, and actions a business process requires:

• Machine learning
• Natural language processing (NLP)
• Computer vision
• Intelligent document processing (IDP)
• AI agents
• Orchestration frameworks
• Process intelligence for continuous process optimization