AI-UX

Intelligent systems that think, act, and deliver.
Most AI initiatives focus on tech. We focus on impact.
With AI-UX, you get scalable systems that think, adapt, and drive measurable results across every touchpoint.
Web Application Development

What Is AI-UX?

AI-UX (AI-Enhanced User Experience) is our framework for designing intelligent systems that do more than automate.

We combine:

  • ux thinking

    UX thinking

    to shape coherent, human-centered journeys
  • AI

    Multimodal AI

    covering voice, text, workflows, and microtools
  • Business strategy

    Business strategy

    aligning every AI action with KPIs and KEIs that matter
This is not about shiny tech - it’s about creating experiences that convert.

What makes AI-UX different?

AI-UX isn’t just a stack. It’s a way of thinking — from the first insight to the last user interaction.

  • AI

    AI with a defined role

    We design AI Agent Personas based on real user insights - support transcripts, team interviews, onboarding pain points.
    Your AI system knows what it should (and shouldn't) do, how to speak, when to escalate, and what outcome it’s driving.
  • KPI

    KPI-first design

    We work backwards from business KPIs and user experience metrics.
    Every screen, decision point, and automation supports a clearly defined goal - whether it's lower costs, higher conversion, or faster support.
  • Multimodal

    Multimodal orchestration

    We break silos between platforms and channels:
    Voice ↔ Text ↔ Workflow ↔ Microtools
    One brain. Multiple surfaces. Unified experience.
  • automation

    Beyond automation

    We don’t build bots. We rethink how decisions get made and how work flows.
    AI-UX unlocks efficiency, consistency, and scale by optimizing end-to-end journeys - not just individual tasks.

Modality isn't a surface – it's the engine of strateg

Every AI system operates across multiple modalities. We help you shape them intentionally.

AI-UX is built on four key modalities - each supporting a different type of interaction:

  • Text

    For detailed, flexible, and structured input/output

  • Voice

    For fast, natural, mobile-friendly access

  • Microtools

    For focused tasks without navigating full interfaces

  • Workflow

    For complex logic, integrations, and decision flows

Every project uses all four.

The art is in knowing which one should lead.

How we work

Our process is lean, structured, and designed for measurable outcomes.

  • 1. Define KPIs and KEIs

    We align with your core goals: revenue, satisfaction, support cost, NPS. This becomes the foundation for the entire design.

  • 2. Ground it in real-world data

    We gather qualitative insights from people closest to the user experience:
    • Support teams
    • Sales
    • Customer success
    • Internal ops
    We analyze chat histories, transcripts, recruitment notes, decision logs and manuals. This input feeds the foundation of your AI system.

  • 3. Build the AI Agent Persona

    Using the data above, we craft a functional profile for your AI:
    • Purpose and constraints
    • Tone of voice
    • Escalation rules
    • Intelligence level (task, decision, orchestration)
    It's not a prompt. It's a role in your business.

  • 4. Map the journey

    We identify Jobs To Be Done and key pain points. Then we design the Service Blueprint:
    • User actions
    • AI responses
    • System integrations
    • Human touchpoints
    All mapped, all measurable.

  • 5. Prototype, test, refine

    We build interactive, testable prototypes fast. Each one is validated against success metrics and real user input.

  • 6. Deliver & scale

    Once validated, we move from PoC to production. Systems are designed to grow - with your users, your organization, and your goals.

Ready to embrace AI-UX?