A LinkedIn post from Automation Anywhere describes what it calls an “automation gap,” where enterprises deploy AI copilots and classifiers but still rely heavily on manual routing, data re-entry, and exception handling. The post positions AI-driven business process automation as a way to let software interpret context, apply rules, and execute actions across systems such as CRM, ERP, and document workflows.
Claim 30% Off TipRanks
- Unlock hedge fund-level data and powerful investing tools for smarter, sharper decisions
- Discover top-performing stock ideas and upgrade to a portfolio of market leaders with Smart Investor Picks
According to the post, this approach aims to deliver shorter cycle times, fewer errors, and reclaimed employee hours through end-to-end orchestration that connects data signals, reasoning, and cross-system actions with auditability and governance. For investors, this emphasis suggests the company is focusing its product strategy on higher-value, process-level automation, which could increase stickiness with enterprise customers and expand addressable spend in the broader AI and workflow orchestration market.