Generative AI and AI agents enhance business automation

Traditional rule-based automation and manual processes often struggle with messy, unstructured data, such as scanned PDFs, emails, or inconsistent chat messages. When data formats change, rigid systems frequently fail, requiring manual intervention to fix errors.

Generative AI and AI agents offer a solution by handling unstructured inputs and making minor decisions within a workflow. Unlike older robotic process automation (RPA) that requires clean inputs, these newer technologies can act as fast readers and writers, processing complex documents like contracts or long email exchanges.

To transition from manual processes to efficient automation, experts suggest mapping workflows, clarifying ownership, and removing unnecessary steps before automating specific, well-defined processes. The objective is to achieve ‘System Drive,’ where technology reduces wasted effort while allowing humans to focus on tasks requiring genuine judgment.