AI-UX

Get agentic systems that think, adapt, and drive measurable results across every touchpoint.

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Watch how it works

ABOUT

What Is AI-UX?

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

Multimodal AI - covering micro interfaces, workflows, voice, and text

Business strategy - aligning every AI action with KPIs and KEIs that matter

UX thinking - to shape coherent, human-centered journeys.

This is not about shiny tech - it’s about creating experiences that convert.

Let’s talk about your use case

benefits

How can your business benefit from AI-UX?

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

Solutions that work

With AI Agent Personas and early prototypes, you can easily learn what works for your business and your clients. This prevents spending resources on low-impact solutions.

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.

Contextual communication

Customers have different needs — AI-UX will help you address them all. Maybe they want to move quickly through the sales process, get their questions answered via a voice experience, or create a great print? The AI-UX process uncovers those needs and the context in which they exist. Armed with this knowledge, we can shape the AI experiences.

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.

“They advised us how to efficiently move into a direction we were aiming at - becoming the most digital furniture retailer in Europe.”

Marcel Faymonville, Head of Marketing

See the AI-UX case studies

MODALITIES

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

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:

Micro interfaces

For focused tasks without navigating full interfaces

Workflow

For complex logic, integrations, and decision flows

Voice

For fast, natural, mobile-friendly access

Text

For detailed, flexible, and structured input/output

Every project uses all four.
The art is in knowing which one should lead.

Each system we build has a unique modality footprint — a balance of how heavily it leans into each mode of interaction.
Here’s the profile for a voice-led assistant for strategic reporting.

voice-led assistant for strategic reporting

CASE STUDIES

AI-UX in action

AI assistant for engineering leaders navigating complex decisions

CTO Compass

>70% relevancy of recommendations provided by the AI agent

CTO Compass supports product and engineering leaders with actionable, grounded insights. Built with agentic architecture, RAG, and framework-driven templates (e.g., DORA, SAFe).

Modalities:

Voice input, adaptive follow-ups, workflow triggers

Dual-mode access: users can speak or type, seamlessly

Role-based LLM logic: one agent generates, another validates

Conversational intelligence: dynamic microtools based on context

Explore case study

APPROACH

How we work

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

01

Define KPIs and KEIs

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

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. Our team always ensures that the analyzed data is well-based and brings value to the process.

02

03

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 a role in your business.

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.

04

05

Prototype, test, refine

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

Deliver & scale

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

06

Ready to embrace AI-UX?

We help companies stop experimenting with AI - and start making money with it.
Let’s discuss how AI-UX can transform your business.

Book a free consultation