CEOHelen
- Company leadership
- Internal execution and operating-system design
- Project orchestration · process operations
SHINCHUK / ABOUT USEven in the age of AI,
Even in the age of AI,
people change
companies.
Our Story
Even with new tools, work keeps returning to the same person if important decisions live only in their memory. And a clear company direction changes little unless it connects to people's roles and everyday work.
SHINCHUK connects information and reduces repetitive work while examining the criteria behind it. We address what matters, who decides and acts, and what should change in light of the results.
Technology turns people's decisions into action. People use the results to reconsider their assumptions and direction. SHINCHUK is an operating partner that helps this cycle become part of the company.
Together, we reshape
how companies think,
decide, and act.
Different expertise.
One shared challenge.
Workplace problems rarely fit neatly into one discipline. We bring management, finance, organizational execution, AI, and engineering together to find a way forward.
01 /
Management & operations
We connect company goals to priorities, responsibilities, and day-to-day operations.
02 /
AI & engineering
We connect data and build systems that bring AI processing, review, approval, and action into one workflow.
03 /
Organization & communication
We explore how leaders and teams understand the same situation differently, then review what happens in practice.
Our team
CEO
Chief AI Officer (CAIO)Yun-kyung Kim
- MBA, University of Michigan · M.S., POSTECH
- CEO, Fandom Funnel
- Former Marketing Executive, BGF Retail · Lotte Mart
CMOYujeong Kang
- B.A., Yonsei University · M.A., Hankuk University of Foreign Studies
- Former Team Lead, Bain & Company
- Global business communication strategy
CFOLucas
- Business Administration, Seoul National University
- Tax Partner, Samil PwC
- Finance, tax, corporate, and monetization advisory
Head of EngineeringTheo
- Head of Business Automation, Procurement Division, Hyundai Mobis
- 30+ automation pipelines · approximately 10,000 hours saved annually
Process Research LeadMIN KWON
- Cornell University
- Cognitive architecture · decision science research
- Complex decision-flow and user-process analysis
Clear principles
for working together
Make the evidence accessible.
We distinguish AI outputs from source material. Workflows let owners check important values and see the information behind each result.
Make responsibility clear.
We define what the system may do, what people must review, and what needs approval. Speed matters alongside the boundaries of delegated work.
Agree on scope and completion criteria first.
We agree on data, capabilities, participants, and deliverables. When new work is added, we review its impact on timing, cost, and operations.
Revisit decisions through real experience.
When execution differs from the plan, we look beyond individual effort. We also examine initial assumptions, leadership priorities, roles, and working conditions.
What needs to change
in your company today?
Repetitive work. Disconnected information. Decisions that never reach execution.
Let's find the next change, starting with where you are.