Designing For Agentic AI: Practical UX Patterns For Control, Consent, And Accountability

This article presents concrete UX design patterns for building agentic AI systems that prioritize user control, transparency, and trust.

• •Intent Preview pattern requires agents to display a clear, reviewable plan before taking any action, offering Proceed, Edit, or Handle it Myself options
• •Autonomy Dial enables progressive authorization from 'Observe & Suggest' to 'Act Autonomously,' configurable per task type
• •Explainable Rationale pattern proactively answers 'why' after agent actions to maintain ongoing transparency
• •Confidence Signal communicates agent certainty levels to help users calibrate their trust appropriately
• •Action Audit & Undo and Escalation Pathway patterns serve as safety nets for errors or high-ambiguity situations