Laiye FAQs

Laiye is a leading global provider of intelligent automation (IA) and robotic process automation (RPA) solutions. It empowers enterprises to automate repetitive, rule‑based workflows, integrate systems, and enhance operational efficiency through AI‑powered software robots and cloud‑native platforms. Laiye’s offerings span RPA, AI process automation, document processing, and low‑code development, serving industries like finance, healthcare, retail, and manufacturing worldwide.

Laiye focuses on the vision of “AI Agents for Everyone,” aiming to enable collaboration between human and digital employees rather than replacement. It empowers organizations to optimize workflows, unlock employee potential, and drive business innovation—all backed by a robust integrated platform, industry-leading brand recognition, and proven success with global enterprises.

Laiye is the only Chinese company featured in the Gartner Magic Quadrant for RPA for five consecutive years, and the only global company ranked in all three Everest Peak Matrix categories (RPA, Conversational AI, IDP). It’s also a leader in IDC’s RPA MarketScape and recognized by Forrester, HFS, Hurun, Forbes China, and KPMG.

Laiye Work Execution Platform (WEP) is an enterprise-grade, robust and intelligent platform designed to help businesses manage AI agents across various business scenarios. It enables efficient, secure, and controllable building, deployment, and lifecycle management of AI agents, supporting collaboration between employees and digital workers for complex, mission-critical tasks.

WEP’s core functions include diverse tool integration (Laiye APA for UI automation, Laiye ADP for document understanding, pre-built scenario tools, and MCP support), flexible tool orchestration (LLM integration, low-code/pro-code development, full AI agent lifecycle management), and enterprise-grade capabilities (structured workflows, autonomous planning, cloud/on-prem deployment).

Yes, WEP is an enterprise-ready AI agent platform. It supports integration with both open-source and proprietary LLMs, offers low-code and high-code development options, provides full AI agent lifecycle management, and supports both cloud and on-premises deployment to meet enterprise security and operational needs.

WEP supports flexible deployment options: enterprises can choose cloud deployment or on-premises deployment according to their own IT environment and security requirements, ensuring data security and compliance while adapting to different enterprise infrastructure needs.

WEP are applicable to multiple business scenarios, including marketing, finance, HR, sales, and procurement. AI agents include Candidate Screening Agent, Lead Generation Agent, and Market Analysis Agent, with pre-built tools to accelerate setup for common enterprise tasks.

Laiye APA (Agentic Process Automation) is the next-generation evolution of RPA. It introduces AI agents into the entire automation lifecycle—development, execution, and maintenance—while keeping deterministic execution and enterprise-grade governance. APA solves RPA’s scalability challenges by enabling 10x more builders and 10x wider automation coverage for long-tail and dynamic processes.

In Laiye APA, you build automation through agent-driven development:

1. Describe business requirements in natural language or structured documents.
2. AI agents automatically understand intent, generate workflow logic, and produce executable automation.
3. Review, adjust, and launch with minimal coding.APA also supports document-driven collaboration, AI chat assistance, and low-code visual design to make automation faster and more accessible.

Laiye APA integrates AI natively across the platform:

• LLM commands built directly into workflows for semantic understanding, content generation, and unstructured data processing.
• AI agents that auto-generate, debug, and repair automation flows.
• Computer Use Agent (screen intelligence) that adapts to UI changes without manual updates.
• Natural language-to-workflow conversion to lower technical barriers.

Traditional RPA relies on manual development and maintenance, which leads to scalability limits and high long-tail costs. Laiye APA uses AI agents to automate building, testing, and repair while keeping deterministic execution. APA supports 10x more builders and 10x wider automation coverage, especially for change‑prone and long‑tail processes.

Laiye APA solves RPA’s key pain points: high development cost for long‑tail processes, expensive maintenance from UI changes, slow response to business changes, and over‑reliance on skilled RPA developers. It makes automation economically feasible for more scenarios.

Laiye APA fits finance, manufacturing, retail, healthcare, telecom, public sector, and other industries. It is ideal for enterprises scaling automation beyond standard RPA limits and improving ROI for long‑tail and dynamic processes.

ADP stands for Agentic Document Processing. It is a new-generation document processing solution built on large language models (LLMs), vision-language models (VLMs), and agent technology. Unlike traditional OCR or IDP, ADP understands document semantics and business logic, enabling end-to-end automation without manual templates or heavy data annotation.

Traditional OCR only recognizes characters but cannot understand document context. IDP requires high-cost data labeling, struggles with fragmented document scenarios, has limited multilingual support, and relies on template-based “memory” rather than genuine business understanding.

LLMs are general-purpose understanding engines without state, memory, or workflow orchestration. ADP is a dedicated application system that adds stateful context, continuous learning, and multi-step task automation. Compared to IDP, ADP supports zero-shot learning, 100+ languages, and strong generalization across layouts.

ADP provides three core capabilities:

1. Zero labeling, multi-language support, and strong generalization.
2. Human-AI collaboration that creates a data flywheel for continuous improvement.
3. Intelligent agent orchestration to coordinate multiple models and tools automatically.

Document processing is universal, labor-intensive, has clear ROI, supports low-risk gradual deployment, and uses mature AI technologies. It helps enterprises quickly validate AI value before scaling to broader enterprise intelligent agents.

ADP is widely used in manufacturing (purchase orders, global invoices), insurance (claims documents), banking (loan underwriting), procurement, finance, HR, and logistics. It automates invoices, contracts, orders, bank statements, and claim forms.

In real enterprise scenarios, ADP achieves 90%+ field extraction accuracy for invoices, orders, bank statements, and contracts. It reduces processing time by 80%–95%, cuts manual labor by 60%–80%, and supports high throughput for large-scale document processing.