Agentic Shift Sizing
The RPA category is bifurcating between enterprise-grade suites that fuse RPA with agentic AI and lightweight, prompt-driven tools for SMBs. The strategic risk for agencies is straddling both: the agentic shift erodes traditional RPA's moat as clients expect autonomous, adaptive workflows rather than rigid, rule-based bots. This framework helps agencies size the shift by assessing three signals: client tolerance for AI-driven failure, the compliance burden of the workflow, and the cost of human-in-the-loop oversight. For example, a client running invoice processing might accept a visual AI worker from Warmwind that interacts through the UI, while a healthcare client demands the governance and audit trails of Automation Anywhere. Agencies that pick one lane and build delivery depth there will capture higher margins than those trying to serve both markets with a generic automation practice.
By InnovaAI ResearchPublished Updated
What is Agentic Shift Sizing?
“Agentic shift → RPA moat erosion”
The RPA category is bifurcating between enterprise-grade suites that fuse RPA with agentic AI and lightweight, prompt-driven tools for SMBs. The strategic risk for agencies is straddling both: the agentic shift erodes traditional RPA's moat as clients expect autonomous, adaptive workflows rather than rigid, rule-based bots. This framework helps agencies size the shift by assessing three signals: client tolerance for AI-driven failure, the compliance burden of the workflow, and the cost of human-in-the-loop oversight. For example, a client running invoice processing might accept a visual AI worker from Warmwind that interacts through the UI, while a healthcare client demands the governance and audit trails of Automation Anywhere. Agencies that pick one lane and build delivery depth there will capture higher margins than those trying to serve both markets with a generic automation practice.