AI Strategy Consulting

Adopting AI isn't simply about applying technology — it's a strategic project that transforms how your company works and operates.

KS C&C comprehensively analyzes your business processes and IT environment to uncover AI opportunities, providing integrated services from strategy through build, operation, and enhancement.

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Challenge

Enterprise AI transformation has already begun.
Many companies are considering AI adoption,
but what and how to apply it remains a challenge.

The key to AI transformation isn't technology — it's finding and executing the right use cases for your company.

Share of respondents who say interoperability across various AI technologies is essential or important to company operations

87%

Have significant or very significant interest in applying Agentic AI to their business

93%

Share of business decisions augmented or automated by AI Agents by 2027

50%

Source : UiPath

Solutions

AI & Automation Service

KS C&C supports every stage of enterprise AI innovation, from strategy to build, operation, and enhancement.

Consulting

Analyzes the enterprise's operations and data to uncover AI opportunities and establish a business strategy roadmap aligned with goals.

Build

Uses AI Agent, RPA, and Automation technologies to design and build an execution framework applicable to real-world operations.

Operation

Continuously manages AI-driven performance through stable operational support and performance monitoring.

Training

Supports the growth of organizational AI capabilities through hands-on training, including AI Agent design and building n8n-based workflows.

Consulting

A Customized AI Consulting Journey

Analyzes your business environment and data to uncover AI opportunities
and designs an actionable AI innovation roadmap.

1

Establish AI Strategy

Analyzes the enterprise's operating environment and data
to uncover AI application opportunities
and establish an AI strategy aligned with business goals.

2

Design AI Architecture

Connects AI Agents, systems, and business processes
to design an actionable AI operating structure.

3

Operation & Scaling Strategy

Establishes a stable operating system and performance management plan,
and designs a strategy to scale across the organization.

Process

AI Adoption & Operation Process

Analyzes your business environment and data to provide a systematic AI adoption process, from opportunity discovery through operation and enhancement.

AI Opportunity Discovery

  • Analyze business processes
  • Diagnose pain points
  • Identify AI application areas

AI Strategy & Design

  • Define AI use case scenarios
  • Design agent roles
  • Establish operating model

AI Build & Application

  • Build AI Agents
  • Integrate systems
  • Validate and adopt in the field

Operation & Stabilization

  • Performance monitoring
  • User support
  • Establish operating system

Scale & Enhancement

  • Expand scope of application
  • Discover new initiatives
  • AI-driven enhancement

Concerned About Adopting AI?

01 Not sure which tasks to apply AI to 🤔
02 Can it integrate with our systems? 🔗
03 Confused by different proposals from each vendor 😵
04 Not confident it will deliver real results 📉
05 Worried about operations after implementation 😰

What to Consider When Choosing an RPA/AI Consulting Partner

Proven Track Record
Cost Efficiency
Feasibility
Communication & Responsiveness
Maintenance & Operational Support

“AI is necessary, but not sure how to apply it to your company?”

Question

“I'm worried we'll spend money
without seeing results”

Solution

We define clear expected outcomes
from the start, based on quantitative
KPIs and performance metrics.

Question

“I'm more worried about operations
than the build”

Solution

We provide an operating system
designed with post-launch operations
in mind, plus ongoing enhancement and support.

Question

“Every vendor says something
different, it's confusing”

Solution

Rather than exaggerated pitches, we help
you decide based on real implementation
cases and proven methodologies.

AI Solutions

AI Solutions

KS C&C provides enterprise-tailored AI innovation services based on AI Agent, sLLM, RAG, and Automation technologies.
We design and build AI solutions optimized for your enterprise environment to drive real business results.

Proven AI Agent & Automation Delivery Capabilities for Enterprise Innovation

UiPath Platinum Partner UiPath Fast Track Partner

Industry AI Experience

Proven experience applying AI
across diverse industries including
manufacturing, finance, public, and services.

AI R&D Capabilities

Researches and develops
AI Agent, sLLM, and RAG-based technologies
optimized for the customer environment.

Proven Delivery Track Record

From consulting to build and operation,
we drive real results based on
extensive project delivery experience.

3 Core AI Technologies

KS C&C leverages AI Agent, sLLM, and RAG as core technologies to deliver AI solutions optimized for your environment.
Each technology can be used independently or combined organically to fit a variety of business innovation scenarios.

Type Key Effects Technology Overview
AI Agent An autonomous AI system that plans, judges, and executes on its own from a goal instruction alone
Automates complex tasks, unattended 24/7 processing, minimal human intervention		 Complex task automation, 24/7 unattended processing, minimal human intervention
sLLM A small language model optimized for a specific domain.
On-premise deployment ensures data security		 Stronger security, lower operating costs, high-precision domain-specific responses
RAG Searches internal company documents in real time to ground LLM responses.
Generates reliable, hallucination-free answers.		 Improved accuracy, up-to-date information, knowledge-based chatbot & search implementation

What is AI Agent?

AI Agent

An AI Agent is an autonomous AI system that, given a goal by a person, plans on its own, selects and executes the tools it needs, and verifies the results.

AI Agent Use Case - Inquiry Flow AI Agent

The 'Inquiry AI Agent,' built in-house by the KS C&C lab, is an Agentic Automation use case where an AI Agent automatically handles the entire process for customer inquiries submitted through the website.

Built on the UiPath platform, it handles everything end-to-end without human intervention — from receiving the inquiry to assigning an owner, sending emails, and logging it in a shared tool.

Inquiry Flow AI Agent introduction video
01

Instantly auto-processes inquiries submitted at night or on weekends

02

Avg. 30-60 min manual processing → AI Agent handles it in 2-3 minutes

03

Automatic logging to shared tools enables 100% inquiry history tracking

04

Assigns the right owner accurately with consistent criteria, free of human error

AI Agent process flow

Small Language Model

sLLM

What is an sLLM?

Unlike LLMs with tens of billions of parameters such as GPT-4 or Claude, an sLLM (Small Language Model)
is a lightweight language model optimized for a specific domain or task.
While reducing model size, it can match or even exceed large models' performance within that specific area.

sLLM Build Process

The KS C&C lab has a standardized process for building enterprise-customized sLLMs.
It proceeds in four stages, from base model selection to on-premise deployment.

Base Model Selection

Analyzes the client's industry characteristics, language,
hardware environment, and budget
to select the optimal base model

Domain Data Collection & Refinement

Collects the client's internal business documents,
manuals, past consultation data, policy manuals, etc.
and refines them into a training-ready format

Fine-tuning

Trains the selected base model
on domain-specific data
to optimize performance

On-premise Deployment

Deploys the completed model
to the client's internal infrastructure
and integrates it with existing systems

Expected Benefits of Adopting sLLM

Cost Savings

70-90% lower operating costs
vs. external LLM API calls

Stronger Security

Safe AI adoption even in
regulated industries

Higher Accuracy

20-40% improvement
in response accuracy

Response Speed

Lightweight model with
avg. response time under 1-2 seconds

Customization

Embeds company-specific terms, policies,
and processes directly into the model

Retrieval-Augmented Generation

RAG

RAG (Retrieval-Augmented Generation) is a technology where an LLM searches an enterprise's internal documents, databases, and manuals in real time and references that content before generating an answer.

Use Cases

RAG Use Cases

KS C&C has experience buildingRAG across diverse enterprise environments.

Representative application areas include the following.

Intelligent Internal Knowledge Search

  • Employees ask a chatbot about internal policies, rules, or procedures and get the exact document as an answer
  • Automatically searches and summarizes large volumes of documents, such as HR policies, benefits, and process manuals
  • Automates 80%+ of repetitive questions during new employee onboarding

Customer Service Knowledge Chatbot

  • Builds a vector DB from product terms, service FAQs, and usage guides
  • Answers customer inquiries by citing exact terms and conditions — eliminating the risk of incorrect answers
  • Reduces average handling time (AHT) when used as a call center agent assist tool

Contract & Legal Document Analysis

  • Indexes large volumes of contracts and regulatory documents with RAG for instant clause search
  • Instantly surfaces key clauses with natural-language questions like "What are the termination conditions in this contract?"
  • Can cut legal team document review time by 50% or more

Support

Maintenance

KS C&C provides operational support, maintenance, and incident response
through a dedicated technical organization to keep Agentic automation systems running stably.

Through preventive inspections and a rapid incident response system,
we help ensure your automation systems run reliably without interruption.

Maintenance Plan
  • Performs regular inspections and preventive maintenance
  • Operates incident response and contingency systems
  • Manages operational stabilization
Technical Support
  • Solution technical support
  • System upgrade and patch support
  • Environment configuration and technical advisory
Staffing Support
  • Dedicated engineer support
  • Technical training and support for operations staff
  • Technical support for operational stabilization
External Technical Support
  • Connects with solution vendor technical support
  • Supports system performance improvement and optimization
  • Supports technical issue response and resolution

Same-Day Incident,
Same-Day Resolution Principle

Active Use of
Company-wide Technical Staff

Incident History
Management

+

Through a dedicated technical organization, we provide maintenance, technical support, incident response, and performance improvement services to keep your systems running stably.

Agentic Automation Service Hub

Agentic Automation Service Hub

The Agentic Automation Service Hub is a dedicated, non-resident technical support service
for rapidly responding to errors and improvement requests that arise while operating automation.
Support from expert engineers helps keep your automation systems running stably.

Start End
👀
SR Occurs
📥
SR Received
🛠️
Execution
📊
Operation
SR Occurs
SR Logged
SR Received
SR Analysis
SR Discussion
SR Execution
SR Test & Verify
SR Applied to Ops
Stabilization

*SR: Service Request

Efficiency

Professional maintenance service
at a lower cost than resident staff

Timeliness

Immediate technical support
whenever customers need it

Expertise

Problem-solving and improvement support
from RPA technical experts

Promptness

(Service hub hours: business days, 9 AM-6 PM)

Resolves issues quickly through
remote access and standby support

※ Additional charges may apply for improvement, training, technical, or sales support requests unrelated to defects or incidents.

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Inquire About KS C&C AI Solutions

Not sure where to start with AI adoption?
KS C&C provides customized AI transformation strategies based on
AI Agent, sLLM, RAG, and UiPath Agentic Automation.

Talk to our experts and find the AI approach that best fits your company.

Yes, you can request consulting and demos for adopting
AI Agent, sLLM, RAG, and UiPath Agentic Automation.

We provide the technical support needed before adoption,
including architecture design, technical review, and PoC development.

Yes. We analyze your business environment and requirements
to provide an RFP-based customized proposal and build plan.

Yes.
We support various forms of collaboration, including SI partners, resellers, and joint development.

You can request consulting on AI Agent, sLLM, RAG, or
Agentic Automation through the Contact Us page on our website.

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Adopting AI,
not sure where to start?

No two companies can adopt AI the same way. KS C&C analyzes your business processes and data to uncover where AI can be applied and proposes an execution strategy weighed against ROI.

From consulting to build, operation, and advancement, our tailored AI innovation services support sustainable operational transformation.

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