Human-AI Exchange Platform — Building Trust in Autonomous Multi-Agent Workflows
Our engineering team built impressive multi-agent clusters capable of executing complex background operations. But business operators refused to click 'Run' because they had no idea why an agent made a decision or what could go wrong. I led the UX strategy to replace raw machine learning numbers with calibrated confidence indicators, trade-off sliders (speed vs. compliance vs. cost), and explicit human checkpoints.
Key UX Innovation
Calibrated multi-factor confidence scoring combining historical success rates, prompt completeness, and risk exposure.
Systems Architecture
Pioneered Figma Tokens & Variables across the team, creating zero-defect token synchronization with offshore devs.
Measurable Business ROI
45%
Faster operator decision velocity through transparent agent scoring
0
Styling and token discrepancies during dev handoff