LLM-powered risk detection and analysis
Customizable rules, cross-department collaboration, and self-learning models to boost review efficiency.
LLM-powered risk detection and analysis
Customizable rules, cross-department collaboration, and self-learning models to boost review efficiency.
LLM-powered risk detection and analysis
Customizable rules, cross-department collaboration, and self-learning models to boost review efficiency.
What is Robotic Process Automation (RPA)?
✓ Understand instructions better through natural language
✓ Make decisions with AI insights based on collective data
✓ Organize and execute tasks securely with more precision
What is Intelligent Document Processing (IDP)?
Nowadays, IDP can draw conclusions or make predictions based on data from paper or electronic documents, which means you can form business insights by yourself.
Six Core Capabilities of IDP
Core advantages
- Leading performance
Laiye IDP is powered by semantic understanding via LLMs and our unique OCR technology. Accuracy is ensured even in complex scenarios. - Enterprise-grade security
Certified by international standards such as ISO/IEC 27001. Reliability and data security is over 99.9%. - Trustworthy intelligence
Process documents with human feedback. Improve capability through self-learning and upgrades. - Open integration
Integrated with RPA and connected to open API and MCP, Laiye IDP can handle documents on various systems and applications.
Document Verification
Powered by large language models, the system applies configurable rules to automatically detect and intercept risks. Professional analysis and decision-making support help reviewers locate issues. This improves average review efficiency by up to 60% and speeds up the entire workflow.
Applied Scenarios
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Risks in documents are automatically flagged for manual recheck. This ensures 100% accuracy of fields for critical documents.
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Detects risks such as conflicting amounts, missing liability clauses, or unusual signatories. With built-in rules and multi-role collaboration, the system provides timely alerts, prevents legal loopholes, and accelerates review speed.
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Validates multilingual business licenses, authorization letters, and certificates of origin. When integrated with RPA, it verifies issuing authorities, detects expired or forged documents, and prevents costly delays, fines, or losses.
A customizable rules engine highlights risk-related fields, enables task routing across departments, and process feedback from manual corrections.
Difference between types
floating authorization
binding machine
foating authorization
Difference between community and enterpise versions
Paradigm Shift in RPA Development
Flexible rule configuration
Define review rules by document type or field to cut manual intervention.
Cross department collaboration
Real-time tracking of the review process ensures compliance and teamwork.
Self-learning model
Every manual correction is fed back into the AI for continuous improvements in accuracy.
Differences between SaaS Version & On-premise Version
Differences among different types
Differences between community & enterprise versions
Differences between community version & enterprise version
RPA in the future
RPA remains essential for digital transformation.
Simplify automation: Low-code platforms let anyone build robots.
Wide compliance: Runs on old systems without costly transfering.
Handles complex tasks: Manages tasks across multiple apps.
Self learning: Cloud and API integration enhance automation.
Build digital worker: Advanced AI agents are deployed on your system to be utilized in any business scenarios.
Agent marketplace: With a user-friendly interfacing, anyone can run automation directly on MCP-supported systems.
Cognitive Automation: Simply tell the agents your needs, and they will reason and follow the steps.
Empower employees: free employees from repetitive tasks and work on productive jobs.
Human-AI collaboration: chat with agents to push actions. Auto-alerts are triggered when problems appear.
Developing skills: learn and build automation workflows without coding knowledge. Draw and share experience in our developers community.
RPA Center of Excellence
The RPA CoE (center of excellence) is a team that:
✓Shares the best ways to use automation across departments
✓Makes sure the data can be utilized on all systems
✓Automates workflows for the enterprise
For businesses, CoE makes decisions faster, gets more value from data base and significantly cuts costs.
For employees, they can learn automation skills, spend less time on busywork and focus on creative thinking.
IDP in the future
LLM-driven IDP can understand sentences and further do analysis. For instance, IDP can evaluate clause that may impact your business and simulate costs of every step. Based on actionable suggestions, decision-making is no longer an issue.
To accelerate document processing, we let specific models work together. The workflow is like a pipeline; text, images, tables, etc. are analyzed and become your own database to generate AI business insights.
Connect your CRM system with Laiye IDP to get structured data resources for utilization. Built your chain of value, from database to business insights.