How I worked with two Product Managers and an AI Engineer to connect ColdTrace workflows to AI support across WhatsApp and the product platform.
ColdTrace AI began as a chatbot that could answer questions. The opportunity was to make it more useful: help users understand an issue, decide what to do next, and move into the right ColdTrace workflow.
Rather than treating AI as a separate feature, we explored how it could support real operational work across equipment monitoring, maintenance, training, service requests, and technician support.
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.