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Q

The AI era where agents are the future?

How should we apply

this to our work?

These days, AI is said to be evolving beyond simply answering questions into an “Agent” that judges for itself and even handles the work. Amid this shift, office workers and individuals alike want to know how to actually use AI in their day-to-day tasks.

So how should you start using AI from here,

and is there an easy way to begin?




A

Don't overthink using AI. Start by handing off repetitive tasks like research or document drafting. Making clear requests and then checking and refining the results boosts efficiency — and it's even more effective with an integrated AI platform that connects data analysis, decision-making, and execution.

Now!  MISO InfoTech's LLMOps platform,

which supports agentic AI-based work automation

and intelligent decision-making,

will help build your AI future.

Q










A

The AI era where agents are the future?

How should we apply this to our work?

These days, AI is said to be evolving beyond simply answering questions into an “Agent” that judges for itself and even handles the work. Amid this shift, office workers and individuals alike want to know how to actually use AI in their day-to-day tasks. So how should you start using AI from here, and is there an easy way to begin?




Don't overthink using AI. Start by handing off repetitive tasks like research or document drafting. Making clear requests and then checking and refining the results boosts efficiency — and it's even more effective with an integrated AI platform that connects data analysis, decision-making, and execution.

Now! MISO InfoTech's LLMOps platform, which supports agentic AI-based work automation and intelligent decision-making, will help build your AI future

Beyond Generative AI, "AI That Acts"

LLMOps / MLOps / MCP

All in One Platform

A solution that optimizes the principles of agentic AI for enterprise environments — an all-in-one platform that goes beyond simple automation to integrate intelligent decision-making and execution.

SK onSecondary Battery Manufacturing Process_Introducing ACTIC AI Orchestration

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This Is the Age of AI Agents!

Market trends are already shifting

from response -  based to action-based AI

1.Why Do Companies Need This?

Improved Work Efficiency

AI Agents eliminate repetitive, time-consuming tasks, letting teams focus on core work and boosting productivity


Lower Costs

Optimizing systems and human resources for repetitive tasks reduces costs and increases company profit


Higher Reliability

Applying proven AI technology across an integrated IT environment increases trust in business operations

2.Who Needs This?

IT Departments at Large and

Mid-Sized Enterprises

Essential for core departments at organizations that need to streamline complex system management and infrastructure operations

and require data-driven decision-making


Companies with Complex IT

Environments and Multiple Services

Well suited for organizations that run various systems and services simultaneously and

need efficient management


Organizations Needing

Productivity Innovation

Useful for any organization looking to innovate

its business processes and boost productivity through AI-based automation


ACTIC is an LLMOps platform that

simplifies and accelerates the entire

process of generative AI applications —

from ideation to prototype

development to operations

Integrated Development and

Operations Environment

▪ Combines LLMOps (LLM Operations) and

   BaaS (Backend-as-a-Service) to provide a complete

   development and operations environment

▪ Not just a collection of tools, but a fully realized

   ecosystem made up of diverse services

Leveraging the Open-Source

Ecosystem

▪ Integrates various commercial and open-source

   LLMs such as GPT, Llama, and Mistral

▪ Fast, community-driven technological progress

   and flexible adoption

▪ Supports every scale, from a startup's MVP to

   a large enterprise's in-house LLM gateway

Agentic AI

Workflows

Configuring and managing AI agents that judge and act autonomously

RAG

Pipelines

Generating accurate, context-aware responses using retrieval-augmented generation

Comprehensive

Model Management

Integrated management and optimization of diverse LLM and generative

AI models

Operations and Monitoring

Real-time performance tracking and data-driven optimization

More

15–20%+

Greater Work Efficiency

Automating repetitive tasks delivers an average 15–20% improvement in work efficiency and productivity

10–15%

Lower Labor Costs

Focus your workforce on core tasks and reduce operating costs by leveraging AI agents

60%

Fewer Errors

Automated processes reduce human error and improve task accuracy

2–3X

More Efficient

Knowledge Use

AI-based knowledge management shortens information search time and increases data utilization

Stronger Competitiveness

Responding to

Market Change

Data analysis enables more accurate decision-making and supports effective strategy development, contributing to stronger competitiveness

Helps you respond quickly to market changes, strengthen your market position, and achieve long-term success through sustainable growth


Healthcare

Construction

Manufacturing

Production

Contact Center

Smartfactory

Aerospace

Distribution

E-commerce

Beyond Generative AI — “AI That Acts”

LLMOps·MLOps·MCP

All in One Platform

An All-in-One Platform Accelerating Enterprise AI Innovation

A solution that optimizes the principles of agentic AI for enterprise environments — an all-in-one platform that goes beyond simple automation to integrate intelligent decision-making and execution.




Customer Cases

More

This Is the Age of AI Agents!

Market trends are already shifting from response-based to action-based AI

1. Why Do Companies Need This?

Improved Work Efficiency


AI Agents eliminate repetitive, time-consuming tasks, letting teams focus

on core work and boosting productivity

Lower Costs


Optimizing systems and human resources

for repetitive tasks reduces costs and

increases company profit

Higher Reliability


Applying proven AI technology across

an integrated IT environment increases

trust in business operations

2. Who Needs This?

IT Departments

at Large and

Mid-Sized Enterprises


Essential for core departments at organizations

that need to streamline complex system 

management and infrastructure operations and

require data-driven decision-making

Companies with Complex

IT Environments and

Multiple Services


Well suited for organizations that run various systems and services simultaneously and need efficient management.

Organizations

Needing Productivity Innovation


Useful for any organization looking to innovate its business processes and boost productivity through AI-based automation

96% of companies say they plan to expand

their use of AI agents within a year

(Cloudera survey, April 2025)

[Key Targets] Finance, manufacturing, and

distribution companies that need integration and

data unification across systems

A case where AI and automation improved task

processing speed, reduced errors, and

improved productivity metrics by 20–40%

ActifyAgentic is an LLMOps platform that simplifies and accelerates

the entire process of generative AI applications — from ideation to prototype development to operations


Integrated Development and Operations Environment


▪ Combines LLMOps (LLM Operations) and BaaS (Backend-as-a-Service) to provide a complete development and operations environment

▪ Not just a collection of tools, but a fully realized ecosystem made up of diverse services


Leveraging the Open-Source Ecosystem


▪ Integrates various commercial and open-source LLMs such as GPT, Llama, and Mistral

▪ Fast, community-driven technological progress and flexible adoption

▪ Supports every scale, from a startup's MVP to a large enterprise's in-house LLM gateway

Agentic

AI Workflows


Configuring and managing AI agents that judge and act autonomously

RAG

Pipelines


Generating accurate, context-aware responses using retrieval-augmented generation

Comprehensive

Model Management 


Integrated management and optimization of diverse LLM and generative AI models

Operations and

Monitoring


Real-time performance

tracking and

data-driven optimization

Key Features


Rapid service configuration based on AI orchestration


MCP-integrated LLM automation service


Enhanced LLM and generative AI scalability


Low-code / no-code based agentic AI configuration


Private MCP server configuration and integration


Automated scaling and serving of AI models, tools, and MCP

Expected Benefits

15~20%+

Greater Work Efficiency


Automating repetitive tasks delivers an average 15–20% improvement in work efficiency and productivity

10~15%

Lower Labor Costs


Focus your workforce on core tasks and reduce operating costs by leveraging AI agents

60%

Fewer Errors


Automated processes reduce

human error and improve

task accuracy

2~3 X

More Efficient Knowledge Use


AI-based knowledge management shortens information search time and increases data utilization


Stronger Competitiveness



Responding to Market Change


Data analysis enables more accurate decision-making and supports effective strategy development, contributing to stronger competitiveness

Helps you respond quickly to market changes, strengthen your market position, and achieve long-term success through sustainable growth

Application Areas

More

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