← Works
082025
// Case Study
AI Platform DesignCustomer ExperienceOmnichannel

Build, Deploy, Iterate. At Scale.

Businesses want to deploy AI for customer experience but lack the infrastructure to build, manage, and improve agents at scale. Genium is the system that makes it possible — without rebuilds.

Client

Genium

Industry

AI & Customer Experience

Services

  • Product Design
  • AI Platform Design
  • Interaction Design

Live

Visit
Genium.com — AI customer experience platform.
FIG · 01 / HERO
01// Metrics

82%

Customer satisfaction delivered by Genium-powered AI agents

Omnichannel

Built for every channel — support, sales, and beyond

Zero rebuilds

Iterate and scale without breaking existing agents

02// Context
Note · 01

Customer experience is the last major frontier AI hasn't fully transformed. Not because the technology isn't ready — but because deploying AI at the level of quality customers expect requires infrastructure most teams don't have. Businesses were building AI agents in isolation, without a system to manage, measure, or improve them.

Note · 02

Genium was designed to be that system. The design challenge was making a genuinely complex platform — one that handles workflow design, omnichannel deployment, and continuous improvement — feel as approachable as a modern SaaS tool, without sacrificing the depth that enterprise teams need.

03// What was designed
01

Intelligent Workflow Builder

Designed a visual environment for building AI agent workflows — conditional logic, context retention, and escalation paths made intuitive for product and CX teams, not just engineers.

02

Omnichannel Deployment

Built the deployment surface for integrated agents across web chat, email, messaging, and voice — a single agent definition, every channel.

03

Iteration Without Rebuilds

Designed the version control and update system — teams can retrain, expand, and improve agents already in production without touching what's working.

04

Support Resolution Layer

Created the UX for AI agents that solve support issues end-to-end — reducing escalations and operational strain while maintaining high CSAT.

05

Lead Generation Agents

Designed the lead qualification and handoff flows — AI that captures intent, qualifies leads, and routes them to the right team at the right moment.

06

Operational Analytics

Built the performance dashboard — resolution rates, satisfaction scores, channel performance, and agent health in a single operational view.

Genium platform — AI agent builder and omnichannel deployment.
FIG · 02 / IN CONTEXT

Turning complex conversations into enriched customer experiences — built for omnichannel from day one.

// Section 01

Build — Intelligent Workflow Design

The core of Genium is the workflow builder: a visual environment for designing AI agent behaviour that delivers experiences worth returning to. The design challenge was making complex logic — conditional branches, context retention, escalation paths — feel intuitive to product managers and CX leads who are not engineers. I designed the builder around intent-first interactions: users define what the agent should achieve, and the interface structures the logic around that goal.

Build — Intelligent Workflow Design — figure 1
01.01
// Section 02

Deploy — Integrated Agents Across Every Channel

Deployment is where most AI agent platforms fall short — they work in one channel, or require separate configurations for each. Genium was designed for omnichannel from the ground up. A single agent definition deploys across web chat, email, messaging platforms, and voice without duplication. I designed the deployment surface to surface integration health, channel performance, and support resolution rates in a single operational view — so teams could see the downstream effect of their agents, not just monitor uptime.

Deploy — Integrated Agents Across Every Channel — figure 1
02.01
// Section 03

Iterate — Agents That Scale Without Rebuilds

The most important promise Genium makes is that improvements don't break what's already working. I designed the iteration system around compatibility — teams can update agent behaviour, retrain on new data, and expand to new channels without touching the agents already in production. The version control surface I designed makes it clear what changed, what it affects, and what the rollback path is, so teams can move fast without fear.

Genium platform screens and agent workflow states.
FIG · 03 / OUTCOME
04// What they said

"Genium gave us the infrastructure to go from idea to deployed AI agent in days, not months — and when we wanted to improve it, we didn't have to start from scratch."

Genium

Customer Experience Platform

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