Agentic workflow UX for actions taken on the user's behalf
Tell us about your project →The Phoenux way
Phoenux designs agent experiences around three questions: what the user sees before it runs, what they can stop, and how they recover when it goes wrong.
Agentic workflow UX is the design of interfaces for AI that takes actions for someone, rather than only answering them.
From responses to action
A chatbot answers. An agent acts.
The difference is consequence. A wrong answer costs a click. A wrong action costs data, money, or a customer relationship, and the user often finds out afterwards.
Most agentic features are designed as though the agent were always right. The interesting design work is all in the other case.
What we design
- 01
Preview and consent
What the agent intends to do, shown before it does it, at a level of detail matched to the stakes.
- 02
Interruption
Stop, pause, and take over, available while the action is running rather than only before and after.
- 03
Traceability
A legible record of what the agent did, in what order, and on what basis. Users forgive mistakes they can see.
- 04
Undo and repair
The path back. What is reversible, what is not, and how the interface stays honest about the difference.
What you get
A safer agentic experience built around control, transparency, and recovery, so users know what's happening, what they can undo, and when a human should step in.
- 01
The agent's actions designed with preview, interruption, and consent
- 02
An activity and audit surface users can actually read
- 03
A reversibility map covering what can be undone, what cannot, and how that is communicated
- 04
Failure paths for partial completion and for actions that are wrong but plausible
- 05
Escalation to a human at the points where autonomy should not hold
Frequently asked questions
How much autonomy should we give an agent?+
Phoenux scopes autonomy to reversibility rather than to model quality. Actions that can be undone cheaply can run with less friction, while actions that touch money, data, or a customer relationship need preview, consent, and a path back.
What is different about designing for agents versus a chatbot?+
A chatbot answers and an agent acts. Phoenux designs agentic workflows around visibility and reversibility: what the user can see before an action runs, what they can interrupt, and how they recover when the agent does the wrong thing on their behalf.
Our agent works well in demos and gets abandoned in production. Why?+
Usually because a demo only shows the successful path. Phoenux finds that abandonment tracks to the first unexplained action rather than the first wrong one. People forgive mistakes they can see. They do not forgive a system that acted without telling them.
What's slowing your product down? Tell us about your project
Tell us whether you're building or fixing, the journey that pays the bills, and what "better" means in a metric you already track. You'll get back a scope, a duration, and a cut list. Or an honest no.