AI エージェントで同じシステムを構築する
Build an application with NocoBase — Audit Management System: centralize audit findings, evidence materials, remediation deadlines, and risk status, with AI evidence analysis, remediation suggestions, multilingual translation, and form filling. Use this prototype as the layout and signature visual reference: https://static-docs.nocobase.com/solution/templates/61-audit-management-system.html
prompt にあるプロトタイプのリンク（HTML）は、私たちが事前に用意したデザインで、機能のデモを目的としたものです。NocoBase は「一言でシステム全体を生成する」ことを推奨していません。これを使って構築する際は、NocoBase Skill の「プロトタイプ再現」（nocobase-prototype-repro）と組み合わせると、より良い結果が得られます。
始める前に、AI Agent クイックスタート に従って NocoBase をインストールし、エージェントを接続してください。AI の生成結果には個体差があります。モデルの性能とシステムの複雑さによっては、微調整や複数回のやり取りが必要になる場合があります。
What Is an Audit Management System?
An audit management system is an AI business system for internal audit, finance, compliance, IT, and management teams. It is used to centrally manage audit findings, evidence materials, owners, remediation deadlines, and risk status. Teams can first let an AI Agent generate fields, issue lists, remediation pages, charts, and timelines based on the audit process, then continue adjusting data models, role permissions, status flows, and audit records in NocoBase, extending the system from audit issue registration to remediation tracking and review management. The example system can uniformly track 12 audit findings, 6 AI-identified issues, and 5 overdue remediation tasks. After setup, NocoBase AI employees can also extract evidence information, analyze audit risks, organize remediation suggestions, and assist with multilingual translation and form filling.
Core Value
- 🔍 Centrally track 12 audit findings, 6 of which are identified and classified by AI
- ⏰ Identify 5 overdue remediation tasks and expose issues that have not been handled on time
- 📊 Manage audit risks across 4 levels: critical, high, medium, and low
- 🤖 Achieve an average AI evidence analysis confidence level of 89%, reducing the time spent manually organizing audit materials
System Preview
1.Audit Findings and Remediation Overview
The audit overview centrally displays open issues, overdue remediation items, AI-identified issues, and the overall resolution rate. Auditors can view each finding by issue number, severity, control area, and remediation status. They can also use AI evidence analysis to quickly determine whether the materials are sufficient, which issues remain unresolved, and which fields require manual review.
2.Risk Distribution and Audit Activity Records
The system can count audit findings by control areas such as access control, change management, data protection, vendor risk, financial close, and physical security. It can also display the distribution of issues by severity. Audit activity records retain actions such as AI identification, system record creation, owner assignment, and evidence review, making it easier for the team to track how each issue is handled.
3.Linked Evidence and Remediation Timeline
Each audit finding can be linked to evidence files such as PDFs and Excel documents, with file type, content description, and classification results recorded. The system also keeps a remediation timeline, showing key actions such as issue discovery, material supplementation, manual review, and final resolution, so audit evidence and the remediation process can correspond to each other.
4.Audit Finding Details and AI Assessment
The audit detail page centrally displays the issue number, title, severity, status, control area, control number, remediation owner, target date, inherent risk, and AI confidence level. NocoBase AI employees can generate risk assessments and remediation suggestions based on the issue description and evidence materials, helping auditors more quickly determine the cause, impact scope, and next steps.
5.AI Multilingual Translation and Form Filling
For cross-region audits and international teams, NocoBase AI employees can translate issue titles, descriptions, control numbers, analysis conclusions, and remediation suggestions into the target language and fill them directly into the audit form. People only need to confirm the translation results and professional terminology, reducing the work of copying, translating, and entering items one by one.
Applicable Scenarios
- Internal audit finding management: Uniformly record audit issues, control areas, risk levels, evidence, and remediation status
- Information security audit management: Track security issues such as access control, identity authentication, backup recovery, and log retention
- Financial and compliance audits: Manage account reconciliation, financial close, vendor terms, and policy execution issues
- Audit remediation tracking: Assign owners, set remediation deadlines, link evidence, and record the full handling process
Why Choose an Audit Management System?
| Comparison item | Excel, Email, and Folders | Audit Management System |
|---|---|---|
| Audit findings | ❌ Issues are scattered across different spreadsheets and audit documents | ✅ Manage issue numbers, levels, areas, and statuses in one place |
| Remediation progress | ❌ Owners and deadlines need to be tracked manually | ✅ View pending, overdue, and resolved issues in one place |
| Evidence management | ❌ Attachments and issue records can easily become disconnected | ✅ Each finding can be linked to evidence files and descriptions |
| Risk analysis | ❌ Relies on auditors to judge each item one by one | ✅ AI generates assessments, confidence levels, and remediation suggestions |
| Process tracking | ❌ It is difficult to reconstruct the full handling process of an issue | ✅ The timeline records identification, review, remediation, and closure actions |
| Multilingual collaboration | ❌ Requires manual translation and form re-entry | ✅ NocoBase AI employees can translate and fill in fields |
| Data statistics | ❌ Charts and reports need to be reorganized manually | ✅ Automatically summarize by control area, severity, and status |
Core Features
1.Audit Finding Management
Centrally maintain issue numbers, titles, severity, control areas, status, owners, remediation deadlines, and external reference numbers, making it easier for the audit team to manage all findings in one place.
2.Evidence Material Management
Link audit findings with evidence files such as PDFs and Excel documents, and record evidence type, content description, and classification results to ensure that each conclusion has supporting materials.
3.AI Risk Analysis and Remediation Suggestions
NocoBase AI employees can combine issue descriptions and evidence content to generate risk assessments, determine confidence levels, and organize actionable remediation suggestions for auditors to confirm.
4.Remediation Tracking and Multilingual Collaboration
The system can record owners, target dates, and handling status, and track the remediation process through a timeline. In cross-language scenarios, AI employees can also complete translation and form filling.
FAQ
1.Which teams is an audit management system suitable for?
It is suitable for internal audit, risk control, information security, financial compliance, vendor management, and legal teams, especially enterprises that need to continuously track audit findings and remediation processes.
2.What audit information can the system manage?
It can manage audit finding numbers, titles, severity, control areas, status, remediation owners, target dates, risk levels, evidence files, AI assessments, and remediation suggestions.
3.Does it support linking audit evidence?
Yes. Each audit finding can be linked to evidence files such as PDFs and Excel documents, with file descriptions, classification results, and review status recorded for later review.
4.Does it support AI analysis of audit issues?
Yes. NocoBase AI employees can extract evidence information, analyze issue risks, generate remediation suggestions, and display confidence levels. Auditors can focus on reviewing low-confidence and high-risk content.
5.Why build an audit management system with AI + NocoBase?
Teams can describe audit fields, pages, and remediation workflows to an AI Agent in natural language, and the Agent can call NocoBase components to complete system setup. NocoBase handles data relationships, permissions, views, and process management, while NocoBase AI employees handle evidence analysis, risk judgment, content translation, and form filling, making it more suitable for continuously running enterprise audit management scenarios.
