Question 1

Why is AIR Studio needed now?

Accepted Answer

As enterprises rapidly expand their AI adoption, an operational system that can manage security, costs, policies, and quality across the organization with a single standard has become essential. As multiple AI tools are used throughout the organization, operational methods become fragmented, and costs and data flows become invisible, creating a need for consistent standards and control. AIR Studio provides the standards and structure for enterprise-wide AI operations, enabling companies to leverage AI more broadly, safely, and efficiently in this situation. In other words, if you want to ensure the effectiveness of AI adoption and consider enterprise-wide expansion, now is the right time for AIR Studio.

Question 2

What is the immediate business value provided by AIR Studio?

Accepted Answer

AIR Studio immediately provides clear cost control and reduces unnecessary spending through token-based billing and model optimization. It offers a security framework including RBAC, PII Filtering, and Audit Logging to convert Shadow AI into an official environment and quickly reduce risks. Additionally, by applying an ISO/IEC 42001-based Responsible AI operational model, it immediately strengthens regulatory compliance and enterprise governance. Through Canvas and Agent automation features, it significantly reduces document work and repetitive operational tasks, resulting in immediate productivity improvements in the field. In other words, AIR Studio is an enterprise AI platform that eliminates uncertainty in AI utilization and delivers immediate results in terms of costs, security, trust, and productivity.

Question 3

What features does AIR Studio provide?

Accepted Answer

An 「Enterprise AI Control Tower」 designed to enable enterprises to adopt, control, and scale AI safely, controllably, and across the entire organization. It integrates security, cost, policy, data, and operational risks that arise during AI utilization into a single standard system, enabling enterprises to 「operate」 AI across the organization rather than simply 「use」 it. Enterprise-wide AI Governance & Integrated Monitoring (Unified management of APIs, models, permissions, costs, and policies from a single Core), Industry-specific Agent Orchestration (Always-On structure, Event-Driven Agent, Zero Scaling, SmartFlow Engine), Enterprise Knowledge Management System (Multi-parser, RAG quality management, chunker, ingestion scheduler, metadata-based search, RAG Evaluation), Sovereign AI-based On-Prem and Hybrid Deployment Platform (Safe AI operations even in regulated industries / Support for dedicated infrastructure operations required in financial and public sectors)

Question 4

How did AIR Studio officially receive recognition for 「Responsible AI Operations」 standards?

Accepted Answer

AIR Studio became the first domestic MSP to obtain ISO/IEC 42001 (Responsible AI Management System) certification. This means AIR Studio meets the following: AI Risk Management System, Data Protection, Security, and AI Ethics Standards, AI Model Validation and Operations Procedures, Management System providing transparent basis for AI utilization. In other words, it has been officially recognized as meeting the standards for 「AI operated responsibly」.

Question 5

What LLMs can be used in AIR Studio?

Accepted Answer

You can use all major LLMs simultaneously. OpenAI, Anthropic, AWS Bedrock models, Google Gemini, Open-source models (Llama, Mistral, etc.), In-house proprietary models (including fine-tuned models). Operate multi-models in parallel, combination, and replacement, and prevent lock-in through API-based multi-key management.

Question 6

How does AIR Studio manage knowledge bases (RAG)?

Accepted Answer

AIR Studio is not simply a tool that uploads documents and generates answers, but provides an enterprise-level RAG (Retrieval-Augmented Generation) operation system. When documents are uploaded, an automated pipeline is built that automatically parses various formats, appropriately divides paragraphs, and proceeds to embedding and indexing, enabling enterprises to quickly and reliably load large volumes of documents into the knowledge base. Additionally, to improve search accuracy, a high-precision search structure based on metadata is used, and RAG quality is evaluated and quantified through accuracy, similarity, and evidence presentation. Through this, you can transparently verify the criteria by which AI provided answers, and maintain consistent AI results without quality variance. Furthermore, knowledge bases can be separated by industry and organization with permissions set accordingly, enabling safe operation even in security-critical environments such as finance, pharmaceuticals, and public sectors. In summary, AIR Studio is an enterprise-standard management system designed to enable enterprises to operate RAG stably.

Question 7

How does AIR Studio respond to the AI Basic Law (effective 2026)?

Accepted Answer

Provides accountability, traceability, transparency, and control required by the AI Basic Law at the platform level and strengthens operational standards. AIR Studio provides the following as standard: AI Risk Assessment Framework (ISO/IEC 42001-based), Data source and evidence traceability, Audit Log management, Policy-based control (RBAC, API Governance), RAG quality evaluation and verification system. In other words, it is a platform that can be immediately applied to enterprises' AI compliance requirements.

Question 8

How is AIR Studio's security and governance ensured?

Accepted Answer

AIR Studio has security and governance features built-in to the platform itself, allowing enterprises to immediately establish a secure AI environment at a regulatory industry level without any additional work. First, we apply a Responsible AI operating system based on ISO/IEC 42001 to manage overall AI usage from a policy and procedure perspective. Additionally, through an RBAC-based role and authority model, we can clearly control who can access which agents and data. Sensitive information is automatically detected and de-identified (PII Filtering), and quota limits are applied to API calls to prevent excessive use or misuse in advance. Finally, since all operations and API call records are kept as audit logs, we can secure the level of traceability and reliability required by financial, pharmaceutical, and public institutions. In other words, AIR Studio is an enterprise security and governance standard platform that makes AI utilization 'operationally safe.'

Question 9

What types of customers is AIR Studio best suited for, and which companies are currently using it?

Accepted Answer

AIR Studio shows particularly high suitability in industries with high security and regulatory requirements, such as finance, pharmaceuticals, public sector, and large enterprise group IT. It is also actively being utilized by organizations operating Multi-cloud, Multi-ISV environments or facing pressure to quickly transition PoCs to production. In other words, it is best suited for companies that need to build an 'enterprise-wide AI operating system' beyond individual chatbots or PoC levels.

Question 10

What changes can executives immediately confirm after implementing AIR Studio?

Accepted Answer

With AIR Studio, you can easily manage costs because you can see at a glance where and how much AI costs are being spent. Additionally, usage history and logs are automatically recorded, creating a system where you can transparently verify and document how AI was used. As a result, unauthorized tool usage (Shadow AI) decreases and a stable AI operating environment controlled according to corporate standards is established. Previously, AI utilization that remained at the experimental level (PoC) can now be directly applied to actual work through AIR Studio, transitioning to an operational stage. Ultimately, the organization moves away from the stage of 'trying out AI' and evolves into a systematic way of formally operating AI.

Question 11

How long does it take to implement AIR Studio?

Accepted Answer

It varies depending on the implementation method. Cloud-based Basic: 1-2 weeks, Enterprise Customization + Agent Development: 3-8 weeks, On-premise + Large-scale Development: 1-3 months. Through standardized workshops (AIR Innovation Lab), the implementation stages are clearly executed as PoC → Pilot → Full Deployment.

Question 12

What makes AIR Studio different from competing services, and what strengths does it provide?

Accepted Answer

The biggest differentiator of AIR Studio is that it is an Enterprise AI Control Tower that makes AI not just a 「stage of trying it out」 but a 「state where it can be stably operated」 for enterprises. Security, permission management, API and cost control, and sensitive information protection are built-in by default, providing an environment that can be immediately applied even in regulated industries. Additionally, you can incrementally expand AI and Agents by business without touching core systems, and through auto-scaling architecture and document/RAG automation features, you can seamlessly transition from PoC to operational stages. AI Operating Standards, Non-stop Scalability (Event-driven Agent + Zero Scaling), Unified Governance (End-to-End Governance), Security and Traceability at Regulated Industry Levels, API Governance + RBAC + Billing Single Management, Large-scale Data Processing Capability. It is the industry's only execution-focused AI Control Tower that provides everything at once.

Question 13

Who should I contact if a problem occurs?

Accepted Answer

You can contact an official partner or sales representative, or request technical support through a dedicated Support email or customer portal.

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