AI-Driven Compliance Consulting
Designed for corporate internal control, internal audit, and external audit requirements, Cloudfall combines professional consulting, an audit compliance review platform, and AI-assisted capabilities. The service helps organizations centrally manage control points, audit evidence, review tasks, and remediation progress, establishing an end-to-end and fully traceable audit compliance management system.
Unify Audit Compliance Management
AI technology supports the entire internal audit and compliance lifecycle, enabling organizations to advance from standardized management to intelligent review and achieve a comprehensive upgrade in compliance governance.
Standardize Control Requirements
Consolidate assessment requirements across departments and audit projects into a unified set of control points, reducing inconsistencies and duplicated maintenance.
Streamline Evidence Submission
Responsible departments submit evidence and supporting information online, while auditors centrally track progress and status, reducing repeated exchanges through email, spreadsheets, and shared files.
Improve Review Consistency
AI extracts key evidence information and highlights items requiring attention, providing auditors with structured input for further review.
Four-Role Access Segregation
Clearly separate the responsibilities and permissions of audit, management, execution, and oversight roles to support the independence and objectivity of compliance reviews.
Complete Audit Trails
Every critical action is recorded and traceable, supporting internal audit requirements and reviews conducted by external oversight bodies.
Visual Compliance Dashboards
Multidimensional dashboards provide a clear view of compliance status, helping management quickly understand the organization’s overall internal audit and compliance position.
Audit Compliance Services Combining Platform Capabilities and Expert Consulting
Covering control points, tasks, evidence, reviews, remediation, and archiving, the service helps organizations transform audit requirements into standardized, collaborative, and traceable management processes.
Control Framework Development
Align corporate policies, regulatory requirements, and audit objectives to define audit items, control requirements, responsible departments, and assessment criteria, forming a structured control framework.
Policy Alignment
Control Library
Responsibility Assignment
Evidence Standards & Document Management
Define the evidence requirements, submission criteria, and validity periods for each control point, while standardizing evidence collection, version management, and archiving.
Evidence Catalogue
Document Templates
Version Retention
AI-Assisted Compliance Review
Use AI to compare control requirements with submitted evidence, identify missing materials, content discrepancies, and timeliness issues, and support subsequent expert validation.
Intelligent Comparison
Exception Identification
Expert Review
Role-Based Collaboration & Task Management
Configure access permissions for auditors, management, responsible departments, and external collaborators, supporting task assignment, evidence submission, feedback, and progress tracking.
Access Segregation
Online Collaboration
Progress Tracking
Closed-Loop Remediation Management
Convert review findings into remediation tasks, assign responsible owners, define required actions and deadlines, and continuously track validation and closure status.
Issue Register
Remediation Tracking
Validation and Closure
Audit Trails & Management Reporting
Record tasks, evidence, review comments, remediation activities, and user actions, while presenting the overall audit compliance status through dashboards and reports.
Activity Logging
Management Dashboard
Audit Archiving
A Complete Review Process from Control Configuration to Remediation and Archiving
Team helps organizations clarify review requirements and configure the platform. Auditors and responsible departments then complete evidence submission, review, remediation, and validation through a unified workflow.
1
Confirm Scope & Review Criteria
Define the review targets, organizational scope, applicable requirements, responsible teams, and project schedule.
2
Configure Control Points & Tasks
Create or select review templates and configure control points, evidence requirements, task owners, and approval workflows.
3
Submit Evidence & Collaborate
Responsible departments submit evidence and supporting information online, while auditors track progress and communicate additional requirements.
4
AI Review & Validation
AI organizes and compares submitted evidence, while auditors validate the results against control requirements and identify issues requiring action.
5
Remediate and Archive
Track remediation ownership and progress, complete follow-up validation, generate reports, retain activity records, and archive project materials.
AI-Assisted Evidence Review
Evidence is parsed, organized, and compared against control point requirements, helping auditors quickly identify missing information, content discrepancies, and items requiring confirmation. AI provides analytical support, while authorized personnel retain responsibility for validating the final review conclusions.
01
Parse Control Requirements
Identify control objectives, evidence requirements, assessment criteria, and applicable scope to establish a structured basis for evidence analysis.
02
Extract Evidence Elements
Extract responsible parties, execution records, date information, and other key fields from submitted materials.
03
Map Evidence to Controls
Map key information from submitted evidence to the corresponding control requirements, reducing manual searching and repetitive organization.
04
Identify Missing Information and Discrepancies
Highlight missing materials, inconsistent content, outdated information, and items that cannot yet be confirmed.
05
Generate Review References
Consolidate identified issues, comparison criteria, and items requiring confirmation to provide structured input for expert review and remediation communication.
06
Validate Timeliness
Check evidence dates, validity periods, and execution cycles to determine whether the materials fall within the scope of the current review.
Completeness Check
Determine whether the evidence contains all required assessment elements without omitting critical information.
Validity Check
Determine whether the submitted evidence remains valid, has expired, or meets the applicable timeliness requirements.
Consistency Check
Compare evidence content with control requirements and identify potential inconsistencies or deviations.
Timestamp Check
Verify that the evidence contains a valid timestamp to support traceability and reliability.
Make Audit Compliance More Standardized, Transparent, and Sustainable
By combining consulting methodologies, platform capabilities, and AI-assisted review, organizations can transform fragmented policies, audit tasks, and evidence materials into a continuously operating management framework.
Standardize Review Criteria
Define clear control requirements, assessment standards, and evidence specifications to reduce differences in interpretation across departments and personnel.
Improve Evidence Management
Centrally manage evidence, document versions, and historical records to improve the consistency, quality, and traceability of audit materials.
Increase Collaboration Efficiency
Use online tasks, evidence submission, and structured feedback to reduce repeated cross-department communication and manual follow-up.
Focus on Critical Review Areas
Use AI to support information organization and discrepancy identification, allowing auditors to focus on critical issues and professional judgment.
Enable Closed-Loop Remediation
Connect review findings with responsible owners, deadlines, and validation status to continuously track remediation progress.
Retain Institutional Audit Knowledge
Accumulate control points, evidence standards, and review experience to support future audit projects and policy improvements.
