Jae W. Lee

Jae W. Lee

AI architect | Python book author | Startup advisor and operator | ex-Samsung

I specialize in

Building with AI
Founder Advice
Idea to Launch
AI strategy
AI Engineering
Product-market fit
MVP

Practical AI strategy from readiness assessment to operating roadmap.

Background & Highlights

Co-founded an AI agent-powered facility management platform for Grade-A office buildings in the GCC.

FMInsight

2025 – Present

FMInsight

Led applied AI commercialization, 25+ agent templates, and a 30-account GenAI pipeline for enterprise and public-sector clients.

MBLM DXB

2024 – 2025

MBLM DXB

Led 70+ engineers across 8 countries for logistics platforms processing 800M monthly API calls.

Quincus

2021 – 2022

Quincus

Applied custom RAG to deliver accurate career suggestions for college students based on actual studies and courses taken.

Kempus

2022 – 2024

Kempus

Applied AI for preventive fraud detection and transaction analysis across OTA booking and payment workflows.

Worldroamer

2018 – 2020

Worldroamer

Led telemedicine engineering across video consults, CRM, AI chatbot capabilities, and wearable IoT integrations.

RingMD

2017 – 2018

RingMD

About me

Most AI conversations start too far downstream. People ask which model to use, which prompt to write, or which tool to buy. In my experience, the better question is what your organization is ready to let AI see, remember, decide, and improve. I advise founders, executives, and operators who want to use AI seriously, not cosmetically. My work starts with AI readiness: your business goals, culture, operating model, workflows, data, systems, governance, and the decisions AI should support or eventually own. Over the past 20+ years, I have built and led products across logistics, travel, telehealth, ERP, marketing technology, public-sector services, social platforms, facilities management, and AI-native software. I have worked across startups, enterprise, public-sector, and government-linked environments in Korea, Singapore, the US, Dubai, Abu Dhabi, and Riyadh, with organizations and clients connected to Samsung, Hyundai, L’Oréal, 3M, UPS, Singapore Tourism Board, Dubai World Trade Centre, and government agencies. My advisory is based on delivery experience, not AI hype. I have led 70+ engineers across 8 countries, supported platforms processing 800M monthly API calls, raised $3M seed funding as a founder, commercialized GenAI workflows for enterprise and government-linked clients, and built AI agent, RAG, MCP, memory, and AI SaaS systems. I have also seen where AI work breaks down: unclear ownership, weak data foundations, no feedback loop, no governance, too much faith in demos, and not enough attention to how people actually work. Those lessons shape how I advise. Book a session if you need help turning AI ambition into an operating plan. Based on what you share, I will help you assess readiness, identify practical strategy options, and make clearer decisions across operations, technology, governance, and execution. You will leave with more than a video call. I will provide session-specific deliverables, such as an AI readiness insight, strategy options, workflow observations, use-case prioritization, and next-step recommendations you can act on.

You'll get advice on

  • AI readiness diagnosis
  • Strategy matched to your company reality
  • Workflow, role, and decision redesign
  • Data, memory, and governance architecture
  • Practical report and next-step roadmap

Real feedback from real sessions

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