SaaS Platform for Workflow Automation
Project Overview
Kyro.ai is an AI-powered SaaS platform designed to help businesses build datasets, train machine learning models, and generate predictions without deep technical expertise. The goal of the platform is to make AI accessible for product teams, analysts, and decision makers through a simplified interface.
The project required designing a scalable user experience that could communicate complex AI workflows in a clear, structured, and intuitive way. The focus was on reducing cognitive load while enabling users to move seamlessly from dataset creation to model training and predictions.
My Role
As the sole designer, I led the end-to-end UX and UI design process. My responsibilities included research, user flow design, wireframing, high-fidelity UI design, and building a scalable design system.
I worked closely with product managers, engineers, and internal stakeholders to translate complex AI workflows into intuitive interfaces while ensuring consistency and usability across the platform.
Tools
Figma – Wireframes, UI design, and design system creation
Photoshop – Visual refinement and asset optimization
The Challenge
Designing an AI platform presents unique challenges. The system needed to support advanced workflows such as dataset creation, machine learning model training, and predictive analysis while remaining accessible to non-technical users.
The Approach
Information Architecture
Organized the platform around three primary workflows: Dataset Creation, Model Training, and Prediction.User Flow Design
Designed step-by-step processes to guide users through complex AI operations.Wireframing
Created low-fidelity wireframes to test layout structure and navigation.UI Design
Built a modern SaaS interface with reusable components and consistent design patterns.Prototyping
Interactive prototypes were created to validate user flows before development.
Highlights
• Dataset builder for structured data management
• AI model training interface with progress tracking
• Predictive analytics dashboard
• Step-by-step workflow guidance for users
• Feedback system for model performance evaluation
• Scalable design system for future AI modules
Outcome
The final product delivered a clean and scalable interface that simplified complex AI workflows into intuitive user journeys. The structured design helped users easily navigate dataset creation, model training, and prediction processes.
The project also established a reusable design system that supports future product expansion and new AI capabilities.
