01
AI Consulting
Decide what should become AI-native first.
We diagnose repetitive work, document readiness, data flow, and approval paths to separate automation from human responsibility.
Workflow auditAI priority mapAgent Build Spec
배경 시각 레이어를 준비하는 중입니다.
USLab AI
AI 에이전트로 회사의 일하는 방식을 바꿉니다.
Claude Code, Codex, OpenClaw 같은 최신 AI 에이전트를 실제 업무 흐름에 연결해 AI 컨설팅, AX 개발, AI 교육까지 실행합니다.
Claude Codeuslab-mcp connected
>
⚙ read_kpi_snapshot(period: "2026-06")
⚙ search_quote_history(status: "done")
⚙ check_settlement_risk(threshold: "30d")
June 2026 operations summary
Consults done148+12 MoM
Quote conversion31%+4%p MoM
Settlement risks2₩54M
Consults
46%
Quotes
31%
Settlement
23%
Both settlement risks already have owner reminders sent. Quote conversion has risen three months in a row — approve to publish the monthly report.
Evidence: 148 consults · 96 quotes read — read-only · audit log recorded>Show the quarterly booking trend too
USLab
Channels
- #general
- #ops
- #approvals
#approvalsOpenClaw connected
Kim2:14 PM
@OpenClaw please approve quote #1042 for June. The customer needs a reply today.
OpenClawApp2:14 PM
✅ Approved — operations dashboard and owner notifications updated.
✅ 1Approval event recorded · audit log · dashboard synced
Token Economics
AI is expensive.
That makes token efficiency the strategy.
Building your own LLM costs a lot and reflects field needs slowly. USLab AI designs knowledge bases and approval flows on top of proven agents, so the same work runs on fewer tokens.
Cost grows with tokens, not licenses.
The same task can consume several times more tokens depending on prompt and context design. Real AI cost is decided by monthly usage.
In-house LLMs cannot keep up with the model race.
Frontier models like Fable 5 and GPT-5.6 ship new generations every few months. A model you build starts aging the day it launches — while field needs like consults, quotes, and settlement wait even longer.
Efficiency comes from structure.
Design the knowledge base, context, and approval rules first, and tokens are spent only where needed. USLab AI puts proven agents on top of an efficient structure.
Cost Structure
Use proven AI agents, not in-house models.
Claude CodeCodexOpenClaw
Work done on the same budget · higher is better
In-house LLM
22
Generic chatbot
45
AI agents
90
Instead of spending budget and time building your own model, connecting proven agents like Claude Code, Codex, and OpenClaw to your workflow gets far more work running on the same budget. (Conceptual example)
What We Sell
AI consulting, AX development, and education in one delivery flow.
USLab AI does not start by pushing a fixed solution. We read the workflow, choose where modern AI agents should connect, then turn it into working systems and enablement.
02
AX Development
Build systems that work inside real operations.
We connect AI agents to real workflows such as consults, quotes, reservations, settlement, KPIs, and field kiosks.
Workflow automationDashboardsAI reports
03
AI Education
Onboard a new way of working, not just tool usage.
We train teams to apply Claude Code, Codex, ChatGPT-class tools, and shared operating standards to their own work.
Claude Code onboardingWork promptsTeam standards
AX Workflow
AI agents create value when they enter the workflow.
USLab AI starts with the daily workflow before abstract AI-ready data claims. Knowledge bases, tool calls, approval rules, and education are attached to that flow.
No forced proprietary platform
Modern AI agents kept current
Human approval and logs built in
Systems and training delivered together
Workflow
1Consults, quotes, bookings, docs, settlement
Define the repetitive work where AI should connect.
Knowledge Base
2Docs, history, rules, FAQs, KPIs
Structure evidence so agents can retrieve it safely.
Tool Layer
3MCP, APIs, dashboards, notifications
Connect agents to read and write real systems.
AI Agents
4Claude Code · Codex · OpenClaw
Compose the right agents for each workflow.
Human Approval
5Review, approval, exceptions, accountability
AI drafts the work while people own final judgment.
Operating System
6Automation, reports, logs, training
Turn it into usable screens, records, and team habits.
Operating Principle
AI drafts, systems record, and humans approve.
Proof Stack
Trust is shown through collaborations and real build cases.
USLab AI proof is closer to execution experience than certificate stacking. We show how we explain, visualize, teach, and build AI into field and operating systems.
Education · Adoption
Enterprise Collaboration
Microsoft Elevate / AI Skilling Collaboration
Executed AI awareness, practical adoption, and education content in enterprise collaboration contexts.
AX Clarity
AX Visualization
LG CNS AX Architecture Visualization
Translated complex AX platform structures into understandable visual language and content systems.
Program Ops
Public Innovation Program
Public Innovation Program Design
Designed and operated a public innovation program with government, KDI, and Microsoft collaboration context.
Build in Progress
AX Operating Case
VIP Service Operator AX Transformation
A live build case transforming consults, quotes, bookings, operations, settlement, KPIs, and AI reports into one flow.
Field Deployed
AI Kiosk Experience
AI Kiosk Brand Experience System
A field AI system connecting capture, AI generation, QR download, displays, ceremony output, and operator controls.
Case Flow
We transform both back-office workflows and field experiences.
Operations AX
VIP Service Operator AX Transformation
A live transformation case connecting fragmented work from consults to settlement and KPIs through AI agents and approval workflows.
Consult
Quote draft
Booking
Operations
Settlement
KPI
AI report
AI draft coverage · build scope
Consult notes
85%
Quote drafts
70%
Settlement
90%
AI drafts, operators approve
Operations and customer history become a knowledge base
KPIs surface for leadership and teams
Field Experience AX
AI Kiosk Brand Experience System
A field system connecting visitor experience, AI generation, download, live display, and operator recovery — operated at real events.
Capture
AI generation
QR download
Booth display
Ceremony
Operator control
Field automation rate · operating flow
Capture→Gen
96%
QR pickup
88%
Display sync
100%
Gemini image generation connected to field UI
QR, CDN, display, and output screens linked
Logs, usage, and recovery built in
LIVE SYSTEMS
We prove our approach with systems we build and operate.
Research, assessment, and exhibition experiences are live.
Start AX
Let’s decide where AI agents should connect first.
From tool onboarding and PoCs to workflow systems and field AI kiosks, we help you choose the right starting point.