Integrated with MCP to manage AI Agents
With full MCP integration, Laiye’s AI agents can seamlessly orchestrate RPA, IDP, and other tools, which enables flexible, intelligent execution across different business scenarios.
Integrated with MCP to manage AI Agents
With full MCP integration, Laiye’s AI agents can seamlessly orchestrate RPA, IDP, and other tools, which enables flexible, intelligent execution across different business scenarios.
Integrated with MCP to manage AI Agents
With full MCP integration, Laiye’s AI agents can seamlessly orchestrate RPA, IDP, and other tools, which enables flexible, intelligent execution across different business scenarios.
What is robotic process automation (RPA)?
The evolution of AI, especially large language model (LLMs) significantly influnces the development of RPA. Besides serving the as the executing role, AI can offer the orchestration, governance, and security assurance for deployment of enterprise-grade intelligent automation.
What is intelligent document processing (IDP)?
Six Core Capabilities of IDP
Core advantages
Leading performance
Powered by dual engines, semantic understanding via LLMs and Laiye’s proprietary OCR, our solution delivers top-tier recognition accuracy, even in complex scenarios.
Enterprise-grade securityCertified by international standards such as ISO/IEC 27001, ensuring 99.9% system reliability and data security.
Agile and intelligent
Zero-shot document processing, with closed-loop collaboration across departments. Human feedback fuels continuous self-learning and iteration.
Open and integrated
Natively integrated with RPA. Seamless API/MCP connectivity with 50+ business systems and AI applications for end-to-end intelligent document handling.
Open API and MCP
Get access to integrate various automation capabilities here
.svg){kind=icon}
All components such as RPA, IDP and conversational AI provide open API or SDK, enabling you to utilize these capabilities widely in your business.
.svg){kind=icon}
Capabilities from both Laiye and other vendors can be unified on the platform that is designed and built by yourself and you will have the authority to manage them in one place.
Difference between types
floating authorization
binding machine
foating authorization
Difference between community and enterpise versions
Paradigm Shift in RPA Development
.png)
Composable and deployable RPA capabilities
We support almost all coding languages and provide detailed Open API documents as well as code samples accordingly to facilitate your integrated automation journey. Standard APIs could meet most of your requirements and save you from tedious development.
.png)
Let AI Agents utilize IDP at ease
The IDP platform enables rapid publishing of document recognition capabilities, such as invoices and contracts. The MCP services allow AI agents to easily access and invoke them. With fast model training, high accuracy, and rapid response, Laiye IDP is a powerful tool for AI agents to process unstructured data. With a Human-AI collaboration feature, Laiye IDP supports co-working of users and AI agents on the platform.
.png)
Integrate our products into your platform
The openness of our platform makes it easy to be integrated into other systems. Through documentation and tools, you can incorporate our intelligent features into your platform via Open APIs, SDKs, and more. Our platform also supports mainstream unified authentication methods, such as OAuth2, LDAP, and Windows Directory, to enable single sign-on (SSO).
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 will continue to be a core tool in enterprise digital transformation. By leveraging low-code platforms, it lowers the development barrier and enables cross-system task automation. Its non-intrusive nature allows for seamless integration with legacy systems, ensuring execution of complex workflows. Meanwhile, containerization drives its evolution toward cloud-native architecture, enhancing collaboration with API-based automation.
Digital Worker Builder: Enables graphical configuration of AI Agents with complex decision-making capabilities to support advanced automation scenarios.
Agent Interaction Hub: Integrates MCP technology to provide standardized system interfaces, allowing business users to directly trigger automation processes.
Cognitive Automation Upgrade: Combines large language models to enable natural language interaction, document comprehension, and intelligent decision-making.
Employee Empowerment: Frees human resources from repetitive tasks (e.g., monthly report preparation in finance accelerated by 40x), allowing focus on higher-value work.
Human-AI Collaboration: Enables natural language interaction through chatbots and smart forms, automatically triggering manual intervention when exceptions (like invoice issues) arise.
Democratized Automation Skills: Empowers business users to build automation workflows independently, with a low-code approach validated by an 800,000-strong developer community.
RPA center of excellence
The RPA center of excellence (CoE) is a cross-functional team that consolidates best practices in RPA deployment, standardizes data interfaces and operation models, and drives enterprise-wide automation at scale.
For the enterprise: Enhances operational decision-making, unlocks data value, and reduces the cost of repetitive tasks.
For employees: Empowers staff to develop RPA skills, boosting productivity and creativity.
IDP in the future
Driven by large language models, semantic understanding of documents evolves toward decision-making analysis, enabling a closed-loop decision cycle, from clause impact analysis, cost simulation, to actionable recommendations.
Enables joint analysis of text, images, and tables to generate actionable business insights. Breaking the limitations of single-modal processing, it builds an integrated analysis pipeline, from documents to seals, signatures, and data tables.
Connects with enterprise data asset management platforms to accelerate the structuring of data resources (“into the table”). Builds a value chain from document data, to asset valuation, and to business insights.