PROCESS

Service Process

We analyze your environment, select the needed technology, and build the optimal AI system.

Every company has a different work environment, infrastructure, and security requirements. Rather than applying a fixed solution uniformly, we first understand your current environment and real needs, then design the technology and system that fit.

From initial consulting and site survey to solution selection, hardware estimation, setup, and validation — we proceed step by step to implement an effective AI system.

7 STEPS

From consulting to operation, in 7 steps

We reflect the results of each step in the design of the next.
So the direction doesn’t waver, we share progress transparently.

01
01
CONSULTING

Pre-Consulting & Requirements Analysis

We confirm what is needed and what problems must be solved.

We understand the challenges and expected effects your company wants to achieve through AI adoption. We review inefficiencies in existing work, system operation problems, and security requirements to set the setup direction.

  • Confirming adoption goals & key requirements
  • Understanding current workflows & improvement tasks
  • Confirming target users & expected usage scale
  • Reviewing data sensitivity & security policies
  • Discussing budget & setup schedule
02
02
SITE SURVEY

Site Survey & Operation Environment Analysis

We accurately understand your current systems and infrastructure.

We analyze existing servers, networks, business systems, and data environments to confirm the conditions and constraints needed for AI adoption. We conduct on-site visits or remote technical inspections as needed.

  • Checking existing server & PC specs, network configuration
  • Inspecting available resources (CPU, RAM, GPU, storage)
  • Confirming existing software & system integration environment
  • Analyzing usable data (documents, databases, logs)
  • Confirming external network connectivity & data export policies
  • Understanding system scalability & operational constraints
03
03
ARCHITECTURE

Solution Selection & Setup Architecture Design

We design the technology and system configuration best suited to your requirements.

Based on analysis results, we select the needed solutions and technology. We first review the reusability of existing systems and add only needed features to reduce unnecessary cost and complexity.

  • Reviewing local & on-premises AI application
  • Designing RAG-based internal knowledge search system
  • Defining AI agent & workflow automation scope
  • Reviewing AI-based security system application (e.g., LogOnAI)
  • Selecting AI models & data handling methods
  • Designing existing system & external service integration
  • Defining permission management, security policies & operation methods
04
04
HARDWARE

Hardware & Infrastructure Estimation

We estimate appropriate specs based on actual usage goals and expected load.

AI systems require different hardware depending on model size, data to process, concurrent users, and response speed. Rather than simply selecting high-spec equipment, we derive appropriate specs considering expected usage and expansion plans.

  • Reviewing CPU, GPU & memory requirements per AI model
  • Estimating GPU memory for model execution & inference
  • Analyzing concurrent users & expected throughput
  • Estimating embedding, vector database & document storage for RAG
  • Considering data growth & backup/recovery space
  • Reviewing network, power, cooling & installation space
  • Comparing initial adoption cost vs. future expansion cost
  • Comparing self-setup vs. external AI service usage
05
05
INTEGRATION

Setup & System Integration

We install the solution in the designed environment and connect it to real business systems.

We configure the selected hardware and software and implement needed features so they can be used in your business environment.

  • Server & AI runtime environment setup
  • AI model installation or API integration
  • RAG data processing & search environment setup
  • Business system, database & API integration
  • Security configuration & user permission setup
  • Needed feature development & environment customization
  • Log collection, monitoring & operation environment setup
06
06
VALIDATION

Performance Validation & Optimization

We validate quality and performance based on the real usage environment.

We confirm the system operates normally and check whether it’s at a level applicable to real work. Based on test results, we adjust models, settings, data handling, and hardware configuration.

  • Feature & system integration testing
  • Response speed & processing performance measurement
  • Concurrent user & expected load testing
  • RAG search result & answer quality validation
  • AI analysis results & automation task review
  • Security policy & access permission verification
  • Error & exception situation response checks
  • Performance improvement & setting optimization
07
07
OPERATION

Operation Transition & Technical Support

We support stable operation and continuous improvement.

We hand over the setup results to your company and guide the management methods and precautions needed for real operation. As needed, we analyze problems that occur during operation and support feature improvement and expansion.

  • Guiding system operation & management methods
  • Providing administrator training & operation documents
  • Organizing backup & incident response procedures
  • Establishing model & software update plans
  • Monitoring performance & usage
  • Adding features & expanding existing system integration
  • Improvement consulting based on operation results
NEXT STEP

We propose the optimal setup plan
that fits your environment.

We review needed features, appropriate hardware, security policies, and future expansion plans together. From leveraging existing infrastructure to building new systems, we propose realistic directions that fit your situation.

With you from adoption consulting to setup and operation improvement.

Request an AI adoption & setup consultation