conversational ai
personalized plan & device discovery
the problem
complex plan structures & pricing
hidden trade-offs & fine print
endless comparisons & research
high drop-offs & abandonment
current state
Customers are forced to decode complex pricing tables, jargon-heavy plans, and overwhelming options — turning what should be a simple purchase into a stressful cognitive task.
the solution
natural conversation → personalized recommendations → confident purchase
key innovations
conversation adapts to user needs
transparent recommendations
information revealed step-by-step
chat + visual cards combined
key screens
intent capture screen
[why start with intent? how does this reduce cognitive load? what conversation patterns work best?]
[explain the greeting & intent prompt]
[explain the quick action suggestions]
ai recommendation
[why show reasoning? how does transparency reduce skepticism? what trust signals work best?]
[explain the recommendation card]
[explain the "why this" explanation]
visual comparison cards
[why blend chat + cards? how do visuals aid comparison? what's the right balance?]
[explain the plan comparison cards]
[explain the pricing breakdown]
showcase
visual showcase coming soon
design system
trust, clarity, authority, warmth
effortless reading + conversational friendliness
ai feels alive but not distracting
design decisions
natural language reduces cognitive load
transparency builds trust & confidence
step-by-step prevents overwhelm
impact
good conversational ai design is not about making bots sound human — it's about making decisions feel easy.
clarity, pacing, and trust-building cues matter more than intelligence itself in ai-driven experiences.
continue exploring