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Supporty · 2024 · Web · AI · SaaS

AI customer support that earns its agent badge.

An AI customer-support platform with a real agent surface, trust signals and a marketing site that explains the product without overselling it.

AI customer support that earns its agent badge.

Supporty is an AI-first customer support platform. The work covered the product surface (agent, context, platform), trust signals, and the marketing site that explains the product clearly.

The Problem

AI support tools are often opaque and feel like a demo. Buyers couldn't see how the product fit their workflow.

The Goal

Show, don't tell — make the agent, context handling and platform tangible across product and marketing.

Role

Product Designer (UX/UI)

Marketing + Product

Surfaces

Embedded

Trust patterns

Show, don't tell

Demo path

  • 01Designed the marketing site and conversion narrative
  • 02Designed the agent surface and context handling UI
  • 03Defined trust-building patterns across the experience
Hero that earns scroll

01

Hero that earns scroll

A clear value prop framed by a real product preview.

Agent surface

02

Agent surface

The actual workspace where the AI agent does its job.

Context, surfaced

03

Context, surfaced

Show how the agent uses context, sources and tools.

Platform overview

04

Platform overview

A clear map of what's in the box.

Trust signals

05

Trust signals

Security, compliance and customer proof — surfaced where buyers look.

Closing CTA

06

Closing CTA

A footer that earns the next click.

A site and product surface that match — buyers see the product, not just hear about it.

Takeaways

AI products are sold by clarity, not adjectives. Showing the actual agent surface beats every hero illustration.

Impact

  1. 01Product surface matches marketing promise
  2. 02Trust signals woven into the buyer journey
  3. 03Faster comprehension of what the product actually is

What I learned

AI products live or die on perceived control. Showing the workspace early eliminates a class of buyer objections.

Next Steps

Add interactive demos, case studies and a deeper integrations section.

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