
Why Has Audit Preparation Always Been Challenging?
Manual Reconciliation
Manual reconciliation wastes time and creates errors. Hours spent toggling between Excel sheets lead to inefficient workflows and costly mistakes.
Capacity Constraints
Labor-intensive rollforward and evidence processes limit teams to a few audits weekly, creating peak-season bottlenecks.
Manual testing with limited sampling cannot cover all transactions, risking overlooked anomalies and irregular patterns.
Manual Reconciliation
Now, conduct Audits Faster and Smarter with Audin AI
AI-Powered Evidence Reconciliation
Contextual Data Understanding
AI analyzes file names, data structures, and account codes to automatically reconstruct meaningful financial information from unstructured Excel files.
AI analyzes file names, data structures, and account codes to automatically reconstruct meaningful financial information from unstructured Excel files.

Deep Analysis with Precision
Contextual Data Understanding
AI analyzes file names, data structures, and account codes to automatically reconstruct meaningful financial information from unstructured Excel files.
Deep Journal Entry Analytics
Automatically analyzes thousands of journal entries to identify anomalies, track movements with "Beginning + Additions - Deductions = Ending" logic, and explain variances with clear evidence.
100% Sample Coverage
AI reviews every entry without fatigue—verifying balances, detecting patterns, and identifying even $0.5 discrepancies in 10,000 entries within 10 minutes.
100% Sample Coverage
AI reviews every entry without fatigue—verifying balances, detecting patterns, and identifying even $0.5 discrepancies in 10,000 entries within 10 minutes.
DtoX AI를 선택해야 하는 이유
Overwhelming convenience
✓ AI 가 수행한 작업물에 담당자는 검토업무를 수행
✓ 동시 작업 가능 및 빠른 업데이트 속도
✓ 인적 단순 반복업무 등 비효율의 최소화
✓ DSD 업데이트 사항을 시각적으로 표기, 변화 추적이 용이함
High accessibility of reference materials
✓ Compare and contrast through the XBRL disclosure data search function of all listed companies
✓ You can copy and use the published XBRL structure of a third party.
✓ You can check and write standard taxonomy/guidebook contents within the solution.
Low reviews and difficulty in aftercare
✓ In-house review through conflict review and validation of text and annotations
✓ Real-time provision of standard account usage rates
✓ Minimizing human error through AI automation and verification centers.
Understanding and Applying Taxonomy
✓ Easy to search and use standard accounts through a convenient UI
✓ Table structure analysis through AI, automatic tagging of standard taxonomy
✓ Improved understanding of XBRL by managers through AI work products, preset functions, etc.

Discover How It Works
1
Service Name
With fast speed and simultaneous operation support
Maximize work efficiencyAI automatic tagging, full work status
MonitoringValue verification AI putting, collision verification,
Final validation
2
DataSync Monitor
-
DSD 업데이트 시 차이 내역을
실시간으로 추적, 신규 데이터 자동 확장 -
DSD, IXD 파일간 크로스 체크
-
공시일정 속 업무 효율화로 탄력성 증대
3
Service Name
Perfect table structure with AI analysis
understanding
Standard notes, standard tables, standard accounts
AI automatic tagging
Simultaneously increase XBRL understanding based on AI work
Solving existing problems
When writing a comment, the concept of completion is the 'confirmation' stage.
It was nice to have it.
In the existing xbrl, even if you write it, it is completed
It was difficult to confirm whether it was in good condition or not.
When writing a comment, the concept of completion is the 'confirmation' stage.
It was nice to have it.
In the existing xbrl, even if you write it, it is completed
It was difficult to confirm whether it was in good condition or not.
Convenience
I liked that it converted xbrl based on dsd, which actual users are familiar with. Dsd-xbrl
There is a link function between the two, so you can check if there is anything missing, and you can also see them on one screen at the same time.
It was good to show you so you could compare
When writing a comment, the concept of completion is the 'confirmation' stage.
It was nice to have it.
In the existing xbrl, even if you write it, it is completed
It was difficult to confirm whether it was in good condition or not.
Accuracy
In the existing xbrl editor, after entering everything, at the end
There were many cases where the number of comments changed due to collisions, but now the system has a verification center function.
So you can check for collisions in advance
It was good
When writing a comment, the concept of completion is the 'confirmation' stage.
It was nice to have it.
In the existing xbrl, even if you write it, it is completed
It was difficult to confirm whether it was in good condition or not.
fast speed
When using the existing Financial Supervisory Service system,
I'm having trouble structuring it.
Preset tools and public data can be viewed in the XBRL structure, increasing work efficiency and reducing loading times in situations such as storage.
When writing a comment, the concept of completion is the 'confirmation' stage.
It was nice to have it.
In the existing xbrl, even if you write it, it is completed
It was difficult to confirm whether it was in good condition or not.
Decision making
When selecting an account, other companies may use this account.
How much for which comment
It helped me make decisions by showing how I pivoted and used it.
When writing a comment, the concept of completion is the 'confirmation' stage.
It was nice to have it.
In the existing xbrl, even if you write it, it is completed
It was difficult to confirm whether it was in good condition or not.

Why Audin AI Matters — Just a Glimpse of What's Inside

데이터 유효성 검증
국제 XBRL 공식 인증 검사 도구(Arelle)를 활용하여 데이터 형식과 구조의 표준 준수 여부를 검증합니다.

데이터 충돌 검증
동일 Context를 갖는 ID는 하나의 설정값을 가집니다. 설정값이 충돌해 데이터가 변형되지 않도록 검토합니다.

금감원 작성규칙 준수여부 검증
AI가 DSD 표 구조를 분석, 표 내 가로/세로 합계를 자동 검증 (Footing), 본문과 주석 간 Reference 검증 (Cross-ref check), 전기 보고서를 기반으로 당기 보고서 drafting

AI 검증
원본-XBRL 간 연결 정보를 통해 값 뿐만 아니라 회계적 의미와 맥락을 고려해 데이터가 정확히 전환되었는지 검토합니다.



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