SaaS AI.
Timeline
2023 - 2024
Team
CTO, VP of Development, Technology
Role
Vision, Research, Product Design, Design Systems
NDA Disclaimer 🚧
As part of my work with Simpliciti AI, I am bound by a Non-Disclosure Agreement (NDA), ensuring the confidentiality of all proprietary information related to our AI-driven SaaS platform, including its design, technical architecture, and business strategies during its alpha stage of development.
tl;dr
Building an AI-Driven SaaS Platform
Enterprise AI was stuck in a rut - powerful but painful to use. As the Founding Designer, I saw an opportunity to change that. We weren't just building another AI platform; we were reimagining how organizations could harness AI without needing a PhD to use it.
I led our team with a clear mission: make enterprise AI as intuitive as your favorite app, but powerful enough to transform how businesses work with data. During our critical alpha phase, we laid the groundwork for something special:
✦ Created frameworks that turned complex AI operations into simple workflows
✦ Built validation methods that actually showed us how users interact with AI
✦ Designed a path to market that balanced innovation with user needs
162
Components managned through AI
10,000+
Pages analyzed per minute
89%
Adoption rate within 30 days
Sweating the details for content expansion
Aggressively explored intuitive interaction patterns for our AI content expansion feature. The design balances giving users control over detail depth while maintaining readability – allowing them to expand content precisely when and where they need more context.
Exploration: Building Our Foundation
At the heart of our alpha phase were two key focuses: innovation and validation. We built an architecture that could grow with us, featuring a progressive UI that adjusts to user expertise and makes complex AI operations feel natural. Our component system was built for rapid scaling while maintaining quality.
We measured success through clear metrics: time-to-value for new users, workflow completion rates, and AI interaction confidence.
Draft button animation
Polish the details, with a subtle design animation that builds confidence in AI assistance without disrupting the writing flow
Summary data streams quickly
Cut through the noise with AI-powered summaries that transform scattered enterprise data into actionable insights at a glance
All-purpose summary function
Designed a flexible AI summary component that distills complex information into scannable bullet points. Whether analyzing customer conversations or technical documentation, users get immediate understanding of key points without losing important nuance
Vision & Leadership
We tackled enterprise AI complexity in three key ways:
Enterprise-Grade Simplicity
Built a modular design system that scaled with user expertise. Created a scoring system to measure interface clarity, ensuring both beginners and experts could work efficiently.
AI Transparency Framework
Developed a confidence scoring system showing how certain AI was about decisions. Like a trust meter for AI, this helped users understand and trust automated recommendations.
Scalable Design Operations
Created clear career paths and rapid feedback loops. This let us iterate quickly while maintaining quality, keeping our team aligned as we scaled.
Understanding the Market
Spotted a critical gap in enterprise AI - powerful tools that were painful to use. Deep market analysis revealed where existing solutions fell short.
Standing Out from the Crowd
Built a platform bridging AI complexity and human usability - something competitors hadn't cracked.
User Focus
Mapped personas from data scientists to analysts, creating features that worked for everyone while keeping the experience unified.
Growth Plan
Designed clear phases from alpha to launch, each building on learnings from the last.