Designing Trustworthy & Effective AI Experiences
We build AI experiences that are intuitive, transparent, and built for genuine user needs, not just technical novelty.
Build Trust & Transparency
We design for explainability, helping users understand why an AI made a specific decision.
Ensure User Adoption
Rapid prototyping and iteration ensures your AI is adopted and used effectively by your audience.
Create Scalable AI Systems
Our designs are built to handle increasing data, user interactions, and model complexity.
Who We Work With
We partner with forward-thinking Startup Founders and Product Owners who are ready to build the next generation of responsible and effective AI products.
Our 6-Step Methodology
01
AI Concept & Scoping
We begin by defining the AI’s core purpose, its persona, and the ethical guardrails required for responsible development. This step includes an AI Capability Workshop and defining a consistent AI Persona.
Key Activities: AI Capability Workshop, User & AI Persona Definition, AI Ethics & Guardrail Assessment.
02
Conversational & Interaction Design
This is where we craft the conversational flows and interaction patterns. We map out the user’s journey, focusing on potential points of failure to build a robust and reliable user experience.
Key Activities: Ideation for Conversational Flows, User Journey Mapping with the AI, Points of Failure & Trust Mapping.
03
‘Wizard of Oz’ Prototyping
Before writing a single line of code, we test and validate the AI’s logic using human-simulated prototypes. This allows for rapid iteration and ensures the core interaction is sound.
Key Activities: Human-simulated Prototypes, Interactive Flow Simulation, User Testing with ‘fake’ AI.
04
Minimum Viable AI Product
We design the core Human-AI Interaction (HAI) loop, focusing on building an interface that communicates the AI’s reasoning. We also integrate feedback mechanisms to continuously improve the system.
Key Activities: Explainable AI (XAI) UI Design, Feedback Mechanism Integration, Visualizing Confidence Scores.
05
AI System Optimization & Feedback
This step is all about continuous improvement. We establish a process for collecting user feedback and designing for data annotation to help the AI model learn and evolve over time.
Key Activities: Continuous User Feedback Loops, Data Collection & Annotation Design, Performance Monitoring UI.
06
AI Experience Governance
For the long-term health of your product, we help you establish governance and best practices. This includes creating a design system for AI components and ensuring ethical guidelines are followed.
Key Activities: AI Model Governance, Content Moderation Guidelines, Design System for AI Components.
