Enterprise Platform
We provide intelligent and standardized solutions, helping you achieve outstanding business automation
Discovery and Evaluation
Capable of in-depth analysis and optimization of processes to enhance efficiency and accuracy
Automation
We enhance efficiency, achieve business process automation, optimization, and high scalability
AI + AutomationImprove process efficiency through automation, achieve automation, optimization and high scalability of business processes, and bring excellent efficiency and reliability to your organization
Industry Solutions
Deeply involved in industries such as finance, energy, manufacturing, etc
General Solutions
Cases and solutions for departments or business functions such as finance、HR、and customer service
Internal audit and internal control, as the cornerstone mechanisms of enterprise risk management, must be empowered by intelligent technologies to achieve granular risk surveillance and dynamic governance capabilities, thereby fortifying a resilient defense line to propel high-quality enterprise development.
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Traditional internal auditing relies on manual ledger verification and sampling inspections, resulting in cumbersome workflows, prolonged timelines, protracted audit cycles, and resource misallocation, thereby struggling to accommodate high-frequency business scenarios.
Fragmented data across multiple systems and inconsistent data standards prevent real-time synchronization of internal control node information, undermining holistic risk landscape mapping capabilities and anomaly traceability efficiency.
Static reporting and post-facto audit models fail to capture dynamic operational risks in real time, causing delayed fraud detection and escalating compliance vulnerabilities.
The scarcity of cross-functional auditing professionals, coupled with over-reliance on individual experiential judgment, introduces subjective biases that hinder the enhancement of audit standardization and scalability.
iSearch RPA enables 7×24 end-to-end task execution, precisely replicating manual operations. Audit document verification efficiency increases by 80%, redirecting human resources to high-value analysis.
Equipped with a multi-source heterogeneous data interface engine, it connects isolated ERP, finance, and supply chain systems. Automatic capture and logical validation of critical internal control indicators eliminate information blind spots.
Integrated rule engines and AI algorithms establish dynamic threshold models for abnormal transactions. Automated risk alerts with remediation recommendations reduce audit response times to minute-level intervals.
Visual drag-and-drop interfaces and prebuilt industry-specific template libraries empower business users to autonomously build automation scenarios. Rapid adaptation to internal control rule updates minimizes technical dependency costs.
RPA bots automatically log into ERP, online banking, and other platforms to extract accounts receivable/payable details. They perform multi-dimensional cross-verification across datasets, completing full-scope data comparison within 10 minutes. The system precisely identifies discrepancies, generates adjustment recommendations, and resolves time-consuming manual verification with minimized human error.
RPA parses procurement/sales contracts in bulk and conducts intelligent semantic analysis against predefined compliance rule repositories (e.g., payment terms, penalty ratios). It automatically flags abnormal clauses and generates risk registers, quintupling review efficiency while ensuring proactive internal control intervention.
RPA periodically extracts purchase orders, logistics documents, and invoice data for dynamic verification using predefined risk control rules (e.g., price deviation thresholds, mismatched tripartite documents). The system immediately triggers alerts to internal audit consoles, achieving T+0 closed-loop resolution for fraud risks.
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