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.

Yes. Laiye ADP's public cloud version offers a free trial. Upon registration, you receive 100 available credits per month, along with 1 million daily tokens for agentic document workflows. You can directly experience core capabilities such as document parsing, document extraction, overseas invoices, and human-machine collaboration — no deployment required, ready to use upon registration. Recently, Laiye ADP also launched a limited-time global invoice recognition promotion: new users can receive 1,000 pages of processing credit upon registration, valid for 3 months — ideal for cross-border finance and foreign trade teams to experience multilingual invoice parsing, batch processing, and API/CLI/Skill integration.

ADP offers a range of out-of-the-box, zero-training capabilities: overseas invoices, document parsing, purchase orders, domestic general invoices (including VAT special invoices, regular invoices, receipts, etc.), and identity documents (including ID cards, business licenses, driver's licenses, etc.).

Yes. All ADP features support output in structured JSON format and provide standard APIs for integration with ERP, CRM, financial systems, OA, and more. Data can also be automatically written into business systems via RPA, enabling an end-to-end closed loop without manual re-entry.

Public cloud: ADP is ready out-of-the-box — upload a document and see results immediately. It can be integrated into your business system and go live within as little as 1 day. Private deployment: standard environments typically take 1–2 weeks for deployment and integration; industry-specific customized scenarios usually take 2–4 weeks to go into production (depending on the customer's environment and requirements).

Processing speed varies by document type. Typical examples: standard identity documents / simple forms: 1–5 seconds per page; overseas invoices / POs / standard contracts: 5–10 seconds per page; complex long documents / multi-column financial reports / contracts: ≤20 seconds per page, with accuracy consistently above 90% — industry-leading performance.

Yes. ADP offers three deployment modes: public cloud, private deployment, and hybrid deployment. Private deployment supports domestic localization adaptation, with data remaining entirely within the customer's internal network, meeting Grade-Level Protection (MLPS), data compliance, and privacy requirements. It also supports offline operation and local model deployment.

Laiye ACX (Agentic Customer Experience) is an AI-powered customer experience platform by Laiye. It empowers both AI agents and human service representatives with real-time access to enterprise knowledge and service workflows. With unified front-end channels (WeChat, Feishu, WeCom, WhatsApp, and more) and seamless back-end integrations (order systems, CRM, OA), ACX ensures every customer receives professional, efficient service.

Three key differences set ACX apart. First, it gets things done — beyond answering questions, it uses natural-language SOPs to handle multi-step processes like returns processing or eligibility verification. Second, it understands your business — it connects to order systems, CRMs, and other back-end tools, enabling real-time order lookups, lead creation, and approvals without leaving the conversation. Third, it helps you improve — the built-in debug panel and operational insights dashboard provide transparent, quantifiable data so every optimization is data-driven rather than guesswork.

ACX unifies multiple channels in a single application. It currently supports Feishu (Lark), WeCom, WhatsApp, WeChat Mini Programs, and Douyin, with an open API for integrating any third-party channel. Cross-channel conversations are seamlessly stitched together, so customers never need to repeat themselves.

ACX's typical go-live cycle is 7 days — compared to 30+ days for traditional solutions. AI-assisted Q&A parsing, natural-language-driven workflow configuration, and automatic document indexing reduce manual setup effort by approximately 80%. For customers migrating from Laiye Chatbot (LC), one-click Excel import further accelerates the transition.

ACX supports multiple knowledge ingestion paths: upload PDF, Word, and other documents for automatic smart chunking and indexing; enter a URL to auto-scrape web content into the knowledge base with scheduled refresh; and connect Feishu online documents with automatic sync on updates — no manual re-upload required. When knowledge entries contain images, those images can also be returned in responses for richer answers.

Yes. ACX provides configurable retrieval model options, allowing you to tune retrieval accuracy for your specific use case. The knowledge base also supports multi-level category tree management, enabling hierarchical content organization for easier maintenance and more precise retrieval.

The Q&A module supports rich media (text + images), conditional replies, and keyword matching. AI can automatically generate similar-question variants, significantly reducing manual upkeep. Q&As can be targeted by channel, effective time range, and user tags. Additionally, AI-powered quality checks automatically detect duplicate or highly similar entries to keep the knowledge base clean.

The Multi-Turn Tasks are ACX's core capability for shifting AI from "answering" to "doing." You describe a business SOP in natural language (e.g., a return/exchange process, eligibility check), and the AI agent guides customers step by step to completion. When information is incomplete, the system proactively asks follow-up questions, enabling truly unattended business processing.

ACX's System Integration module lets you connect tools for querying and writing to systems like Feishu, CRM, OA, and order management. In task configurations, simply use "@" to reference these tools — customers can check orders, track logistics, create leads, and submit approvals without ever leaving the conversation. This capability reduces manual order lookups and data entry by approximately 60%.

ACX supports rapid integration of leading model providers (OpenAI-compatible APIs, Qwen, DeepSeek, and more) as well as custom models. A centralized configuration interface lets you manage default model assignments for flexibility and cost control.

Absolutely. ACX allows you to define user groups via tag sets (customer type, channel, membership tier, etc.) and associate different Q&As, tasks, and knowledge entries with each group for precise targeting. Combined with reply priorities, fallback logic, and handoff rules, you can build finely tuned, tiered service operations.

Yes. ACX supports one-click migration by importing LC-format Excel files. Your existing Q&A data can be batch-transferred, enabling a smooth upgrade and continued service for legacy customers.

ACX provides a full open API for secure third-party invocation, enabling seamless integration with your existing business ecosystem. The API covers conversation handling, knowledge management, and more — all fully documented for quick adoption by your engineering team.