Robotic Process Automation (RPA) tools—UiPath, Automation Anywhere, Microsoft Power Automate, Blue Prism—let teams record and orchestrate bots that click through user interfaces the same way a person would. The appeal is obvious: a finance clerk reconciling four hundred invoices a day in an ERP from 2008 can be replaced by a bot that runs overnight. The original use cases were screen-scraping bridges between systems that nobody wanted to integrate properly.
The honest history of RPA is that many programs hit a ceiling around fifty to one hundred production bots. Each bot is fragile: a UI change, a new SSO prompt, or a slow Citrix session breaks the workflow at 3 a.m. Maintenance overhead grows faster than savings, and the bots become technical debt with their own change-management process. Teams that get past the ceiling treat RPA as a tactical bridge while real API integrations or system replacements catch up—not as a permanent answer to deferred modernization.
Generative AI has changed the conversation. Document understanding, email triage, and exception handling that used to require expensive OCR plus brittle rules are now solved more cleanly with large language models. Smart RPA programs in 2026 use bots for the deterministic steps and call out to AI for the judgment calls, with a human in the loop on anything financial or customer-facing. The vendors have caught up too; the marketing has shifted from “bots” to “agents” almost overnight.