Developer Argues Intent-Based RPA Architecture Can Cut Maintenance Costs by 82%

A software developer writing on DEV Community argues that traditional robotic process automation systems fail because they are built around specific UI paths rather than desired outcomes, making them brittle whenever interfaces change. To address this, they designed a modular automation architecture using a 636-byte WebAssembly proof module injected at the browser boundary, separating intelligence from authority. The design enforces a strict lifecycle — intent, lease, observe, decide, act, verify, artifact — where an AI model can propose actions but cannot grant itself permissions or cross security boundaries. Using a planning tool called agent-calc, the author modeled a hypothetical scenario of 100 workflows and estimated monthly maintenance costs could drop from $112,000 to around $20,000, an 82% reduction, though they caution the figures are illustrative assumptions rather than measured results. To stress-test the approach beyond controlled demos, the team also built a synthetic web application called Component Gym, designed to resist memorization by randomizing UI elements between runs.