Camilla

RIP to RPA: How AI Makes Operations Work

Steph Smith, Kimberly Tan, Camilla

The evolution from rigid Robotic Process Automation to AI agents powered by Large Language Models enables the handling of unstructured data and complex workflow deviations that previously required manual intervention. Industry examples like Tenor demonstrate how vertical, self-serve solutions in healthcare and logistics can eliminate low-value administrative tasks while horizontal enablers provide the foundational extraction capabilities for broader adoption. As these technologies mature over the next decade, the market is shifting from niche, high-labor-cost sectors to deep integrations with core systems, ultimately replacing manual data entry with intelligent automation that allows human workers to focus on higher-value creative roles.