Question 1

What is ez2AI?

Accepted Answer

ez2AI is an enterprise AI platform that connects documents, databases, websites, and work data into company-specific knowledge, then supports AI task management and agent automation. You can start by adding AI on top of your existing systems.

Question 2

Which product is right for our company?

Accepted Answer

Choose ez2AI for a standard enterprise AI workspace and company-wide knowledge; ez2Builder to add custom features or build a new system; ez2Model to embed a domain-specific AI core independently; and ez2SAFE for integrated safety management. You can start with the product that fits your current stage and expand later.

Question 3

Do I need to replace my existing systems?

Accepted Answer

No. ez2AI uses an add-on approach, so you can keep ERP, MES, SCM, CRM, and other systems in place and add AI through API or database integration.

Question 4

Can we start if our data is not well organized?

Accepted Answer

Yes. Existing documents, databases, websites, and work data can be used as the starting point, and relevant information can be structured during normal work. Selecting and improving important source data will still improve accuracy and usefulness.

Question 5

Can we use it without AI specialists?

Accepted Answer

Day-to-day use does not require coding or specialized AI knowledge. Initial data connections, permissions, and workflow automation are designed and supported by specialists according to the implementation scope.

Question 6

When can we expect to see results after adoption?

Accepted Answer

Timing depends on scope, but organizations typically start AI task management within one month, structure documents and databases in months 1–2, and configure AI agent automation in months 3–4. Custom expansion through ez2Builder can follow as the foundation grows.

Question 7

What industries and company sizes is it suitable for?

Accepted Answer

It can be applied across manufacturing, finance, public services, healthcare, logistics, telecommunications, and other industries. It is a strong fit for organizations that have both existing business systems and unstructured data such as documents, photos, and meeting records, and want to reduce repetitive work.

Question 8

How does the adoption consultation work?

Accepted Answer

Request a free AI adoption diagnosis or contact us. We first review your current systems, data, business goals, and security requirements, then recommend the right path among ez2AI, ez2Builder, ez2Model, and ez2SAFE with an estimated scope, timeline, and cost.

Question 9

How are ez2AI, ez2Builder, ez2Model, and ez2SAFE different?

Accepted Answer

ez2AI is the standard enterprise AI platform; ez2Builder builds custom AI systems; ez2Model supplies an independent AI core model; and ez2SAFE is an AI safety management solution. You can start with the product that fits your current stage and expand later.

Question 10

What is the relationship between ez2Model and ez2AI-Core?

Accepted Answer

ez2AI-Core is the name of the neural core specialized in enterprise data classification and connection. ez2Model is the product that supplies and embeds this core independently. Choose it when you need to add domain-specific AI to your own product, internal system, or air-gapped environment.

Question 11

Which companies is ez2AI a good fit for?

Accepted Answer

ez2AI is a good fit for companies that want to turn documents, databases, websites, and work data into knowledge while quickly adopting task management, messaging, calendars, meeting records, and AI agents. Existing systems can remain in place.

Question 12

When should I choose ez2Model?

Accepted Answer

Choose ez2Model when you need to embed domain-specific AI in your own product or internal system, or operate independent AI in public-sector, finance, defense, and other security-sensitive environments. Customer terminology, data, and work patterns can be trained for the domain, including air-gapped deployment.

Question 13

What is ez2SAFE?

Accepted Answer

ez2SAFE is an AI safety management solution that analyzes risk assessments, TBM records, safety documents, photos, and meeting records, connecting risk discovery to corrective actions and evidence for audits. Customers can select the safety management capabilities they need.

Question 14

What is the evidence behind ez2AI-Core?

Accepted Answer

It is built on 74,332 curated gold metadata records accumulated from 172 systems over six years. It achieved 100% accuracy across 208 test cases in enterprise data-relationship classification, validating its specialized capability to accurately classify and connect enterprise data relationships. Detailed test conditions and comparison results are available on the ez2Model page.

Question 15

Can we expand from ez2AI to ez2Builder?

Accepted Answer

Yes. The company knowledge and connected data accumulated in ez2AI can continue into an ez2Builder project. The additional design, development time, and cost depend on the screens, workflows, and integrations required.

Question 16

How much does adoption cost and how long does it take?

Accepted Answer

Cost and timing depend on the product, data volume, integrations, infrastructure, and security requirements. A standard implementation is planned across a roughly 15-week process, while the actual scope and estimate are confirmed during the consultation.

Question 17

Are original documents and photos sent to external AI?

Accepted Answer

Original documents, drawings, photos, and meeting records are processed within the ez2AI operating environment. In a hybrid setup, only the question and minimum context needed to generate an answer are sent to the selected external LLM. If no external transmission is allowed, choose an air-gapped deployment.

Question 18

Will external LLMs learn from our data?

Accepted Answer

ez2AI does not send the full original document to an external LLM. Data retention and training use depend on the selected model and contract terms; if both external transmission and external training must be blocked, consider ez2Model with an in-house inference environment.

Question 19

Will our data be mixed with other companies' data?

Accepted Answer

Customer databases, workspaces, and permissions are managed separately. During implementation, we confirm the data access scope and permission policy so that one customer's data is not exposed to another customer.

Question 20

Can it run in an air-gapped (network-isolated) environment?

Accepted Answer

Yes. ez2AI supports closed-network operation, and ez2Model embeds ez2AI-Core independently for network-isolated environments. If answer generation is also handled internally, the system can operate without external communication.

Question 21

How are data retention, deletion, and export handled?

Accepted Answer

Retention periods and deletion timing are defined by customer requirements and contract terms. At implementation, we also agree on the handling scope and export process for original data, operational data, and backups when a contract ends or deletion is requested.

Question 22

Can we manage permissions by user and department?

Accepted Answer

Yes. Organization and role-based permissions can operate alongside fine-grained document and data permissions. We review existing approval and audit requirements so the permission flow fits your operating model.

Question 23

What features does ez2AI provide?

Accepted Answer

It provides AI messaging, calendars, meeting minutes, documents, business cards, and image-based task management; knowledge conversion for documents, databases, and websites; and AI reports, alerts, monitoring, and repetitive-work automation. Custom systems, independent core models, and safety workflows are extended through ez2Builder, ez2Model, and ez2SAFE.

Question 24

What work do ez2AI's AI agents handle?

Accepted Answer

They can handle repetitive work such as quotation drafts, production-status aggregation, inventory shortage alerts, quality-standard lookups, report writing, and trade-document drafts. They can also automatically collect and analyze thousands of public notices or tenders, assess fit against company criteria, and draft proposals and application documents. The AI finds and analyzes information, then connects it to the next step; people review important judgments and make final decisions.

Question 25

How is ez2AI-Core different from a general LLM or RAG?

Accepted Answer

ez2AI-Core is not a replacement for a general-purpose language model. It is a neural core specialized in classifying and connecting relationships across structured databases and unstructured company data. It recorded 100% in 208 enterprise data-relationship test cases, limited to that evaluation domain.

Question 26

What documents and data can it connect?

Accepted Answer

It can process PDF, HWP, Word, Excel, and PowerPoint files, as well as images, charts, business cards, and meeting records. Websites, crawled data, database schemas, and operational data can also be connected so structured and unstructured information becomes usable knowledge.

Question 27

Can it integrate with existing ERP, MES, and databases?

Accepted Answer

Yes. Integration can use APIs or direct database connections. We review major databases such as Oracle, MSSQL, PostgreSQL, MySQL, and MariaDB, along with systems such as ERP, MES, SCM, WMS, and CRM. Read/write scope and permissions are agreed for each system.

Question 28

How is ez2Builder different from typical AI coding?

Accepted Answer

Typical AI coding starts with generating code. ez2Builder first analyzes company materials and requirements, then designs screens, databases, and workflows. An orchestration AI coordinates the project while development AIs divide roles and collaborate, and harness coding keeps every stage aligned with the company's development standards and rules. The result is verified as an operational system rather than a demo prototype.

Question 29

Is a GPU server required?

Accepted Answer

Not necessarily. ez2AI-Core's data classification and connection processing can be configured with DGX Spark-based hardware, while natural-language answer generation can use OpenRouter without a separate GPU. If answer generation must also stay inside an air-gapped network, an RTX Pro 6000 or similar in-house inference environment can be added.

Question 30

Does it support mobile, multiple languages, and many users?

Accepted Answer

The responsive web interface works on PC, tablet, and smartphone, with Korean, English, Japanese, and Chinese supported by default. On-premise deployments can expand users within server capacity; actual licensing and operating terms are confirmed by deployment model.

Frequently Asked Questions

Q. What is ez2AI?

Q. Which product is right for our company?

Q. Do I need to replace my existing systems?

Q. Can we start if our data is not well organized?

Q. Can we use it without AI specialists?

Q. When can we expect to see results after adoption?

Q. What industries and company sizes is it suitable for?

Q. How does the adoption consultation work?