How I helped turn a broad AI opportunity into a clear product direction across ColdTrace and WhatsApp.
ColdTrace AI began as a chatbot that could answer questions, but the bigger question was still unresolved: where should AI actually sit inside an operational product, and what should it help users do?
Working with two Product Managers and an AI Engineer, I helped structure that ambiguity around real user workflows, decisions, product actions, and escalation points. That shifted the team from thinking about chatbot features to defining an operational assistant that could help users understand an issue, decide what to do next, and move into the right ColdTrace workflow.
AI Product Design B2B SaaS WhatsApp Conversational UX Operational Workflows
ColdTrace AI connected conversational support to operational workflows across WhatsApp and the product platform.
Company: Nexleaf Analytics
Product: ColdTrace AI
Role: Lead Product Designer
Core team: 2 Product Managers and 1 AI Engineer
Users: Health ministry teams, facility workers, technicians, and operations teams
Channels: ColdTrace web and mobile, WhatsApp
Scope: Workflow discovery, conversational UX, contextual support, language and location handling, escalation, and technician handoff
Status: Beta and prototype work across ColdTrace and WhatsApp
ColdTrace is Nexleaf’s platform for health ministry teams managing cold-chain equipment across distributed health facilities.