Xây dựng hệ thống bằng AI agent của bạn
Build an application with NocoBase — Compliance Management System: compliance frameworks, controls, evidence materials, testing plans, and AI compliance analysis reports. Use this prototype as the layout and signature visual reference: https://static-docs.nocobase.com/solution/templates/86-ai-compliance-management-system.html
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Trước khi bắt đầu, hãy làm theo hướng dẫn nhanh AI agent để cài đặt NocoBase và kết nối agent của bạn. Kết quả AI có thể khác nhau; tùy vào mô hình và độ phức tạp của hệ thống, có thể cần tinh chỉnh thêm hoặc tương tác nhiều vòng.
What is a compliance management system?
A compliance management system is an internal business system for security, legal, internal control, IT, and management teams. It is used to centrally maintain compliance frameworks, controls, owners, risk levels, testing plans, evidence materials, and remediation status. Teams can use Claude Code, Codex, Cursor, OpenCode, and other AI Agents to generate control lists, evidence forms, testing tasks, and analysis pages from natural language prompts, and then continue configuring permissions, filtered views, workflows, and reports in NocoBase. This example system can cover four compliance frameworks, including ISO 27001, SOC 2, GDPR, and PCI-DSS, and centrally manage 24 controls, 9 control areas, and 15 pending testing tasks.
Core value
- 📊 Centrally manage 24 compliance controls, with an overall control health score of 81%
- ✅ 11 controls are compliant, accounting for 46% of the current controls
- ⚠️ Identify 3 compliance gaps and 6 unresolved high-risk issues
- 📅 Centrally schedule 15 pending testing tasks and continuously check whether evidence is outdated
System preview
1.Compliance control overview
The compliance overview centrally displays the overall compliance score, compliant controls, remediation gaps, pending testing tasks, and high-risk exposure. Teams can filter records by compliance framework, control status, and business area to quickly locate issues that need priority handling in areas such as access control, log management, and data protection.
2.Control and testing plan management
Each control can record the control ID, control name, owner, current status, inherent risk, health score, and next testing date. Evidence freshness is also shown directly in the list, making it easier for compliance teams to distinguish controls with complete materials from controls that require new evidence collection.
3.Control details and evidence linkage
The control detail page centrally displays the related framework, risk level, owner, health score, testing date, and specific control requirements. Each control can be linked to evidence files such as images, documents, and spreadsheets, with evidence summaries and validity status recorded to reduce the disconnect between control requirements and supporting materials.
4.Compliance control maintenance
Teams can update the control ID, name, area, owner, status, risk, health score, testing date, evidence status, and evidence count in a unified form. When business rules or compliance requirements change, teams can directly adjust fields and control content without maintaining multiple spreadsheets again.
5.AI compliance analysis report
NocoBase AI employees can read existing compliance data, summarize control coverage, the number of gaps, items pending review, outdated evidence, and key risk areas, and automatically generate analysis reports for management. Reports can be previewed online or exported as Markdown, HTML, or PDF for quarterly reviews, management reporting, and external audit preparation.
Use cases
- Information security compliance management: Maintain security controls and evidence under frameworks such as ISO 27001, SOC 2, and PCI-DSS
- Data privacy compliance management: Track requirements such as GDPR, data protection, the right to deletion, and privacy impact assessments
- Internal control and risk management: Centrally manage control owners, inherent risks, control health, and remediation gaps
- Audit preparation and evidence management: Organize control testing plans, supporting materials, validity periods, and audit reports
Why choose a compliance management system?
| Comparison item | Excel and shared folders | Compliance Management System |
|---|---|---|
| Compliance frameworks | ❌ Different frameworks are scattered across multiple files | ✅ Multiple frameworks are centrally managed and filtered |
| Control management | ❌ Status, owner, and risk updates are inconsistent | ✅ Each control has a complete record |
| Testing plans | ❌ Testing calendars depend on manual maintenance | ✅ The next testing date is centrally tracked |
| Evidence materials | ❌ Evidence files are easily disconnected from control requirements | ✅ Controls are directly linked to evidence and validity status |
| Compliance gaps | ❌ Non-compliant items need to be manually summarized | ✅ Gaps and high-risk exposure are automatically displayed |
| Management reporting | ❌ Coverage, risks, and conclusions are manually organized | ✅ NocoBase AI employees generate analysis reports |
| Future adjustments | ❌ Spreadsheets need to be rebuilt after framework changes | ✅ Fields, pages, and workflows can be continuously adjusted |
Core features
1.Multi-framework compliance control management
Centrally maintain control IDs, control requirements, business areas, and owners under frameworks such as ISO 27001, SOC 2, GDPR, and PCI-DSS.
2.Risk and health tracking
Record inherent risk, current status, and health score for each control to help teams identify high-risk, non-compliant, or still-remediating controls.
3.Testing plan and evidence management
Schedule the next control testing date, link evidence files, summaries, counts, and validity status, and identify missing materials or outdated evidence in time.
4.AI compliance analysis and reporting
NocoBase AI employees can analyze control coverage, gap distribution, risk areas, and evidence status, and generate compliance reports with executive summaries and key conclusions.
FAQ
1.What teams is the compliance management system suitable for?
It is suitable for information security, risk control, legal compliance, internal audit, data privacy, and enterprise IT teams, especially organizations that need to maintain multiple compliance frameworks at the same time.
2.What compliance frameworks can the system manage?
It can manage common frameworks such as ISO 27001, SOC 2, GDPR, and PCI-DSS, and can also add new control frameworks and controls based on the company’s own policies.
3.Does it support compliance evidence management?
Yes. Each control can be linked to the corresponding images, documents, or spreadsheets, and evidence summaries, counts, and freshness can be recorded for centralized checks before an audit.
4.How can teams find controls that need priority remediation?
The system can filter by control status, inherent risk, health score, evidence status, and testing date to quickly identify compliance gaps, high-risk controls, and outdated materials.
5.Why build a compliance management system with AI + NocoBase?
Teams can describe compliance frameworks, fields, and management processes to an AI Agent in natural language, and the Agent can call NocoBase components to build control lists, detail pages, evidence tables, and analysis pages. NocoBase is responsible for long-term maintenance of data relationships, permissions, and workflows, while NocoBase AI employees query data, analyze risks, and generate compliance reports.
