Turning Your Service Team Into a Growth Engine

Laiye ACX is an AI-native enterprise platform that helps businesses resolve customer issues, build lasting customer relationships, and turn conversation insights into business growth

agentic document processing

Turning Your Service Team Into a

Growth Engine

Laiye ACX is an AI-native enterprise platform that helps businesses resolve customer issues, build lasting customer relationships, and turn conversation insights into business growth

What is Robotic Process Automation (RPA)?

Robotic Process Automation (RPA) is a technology that can let human manage robots and assign tasks to them on a digital system. These robots can handle repetitive, standardized and streamlined work, such as filling out forms and logging in systems.
The combination of RPA and AI let intelligent automation:
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)?

Intelligent Document Processing (IDP) is to analyze documents with technologies like optical character recognition (OCR) and natural language processing (NLP). It is highly recommended to use IDP to deal with contracts, invoices, and reports in daily work.

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.

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.
Agentic Customer Experience (ACX)

Agentic Customer Experience (ACX)

Proven results across industries - from retail to government

Icon for E-commerce Post-sale
E-commerce Post-sale

Resolves order and return inquiries in one session with 85% auto-resolution

Icon for Healthcare & Insurance
Healthcare & Insurance

Handles appointment and coverage queries in 30s average, reducing repeat inquiries by 50%.

Icon for Education & EdTech
Education & EdTech

Navigates enrollment, prerequisites, and financial aid 24/7 with 80% self-service resolution.

Icon for Government & Public Services
Government & Public Services

Manages permit and policy follow-ups in multi-turn conversations, deflecting 60% of inquiries at 4.5 CSAT.

Icon for Telecom & Utilities
Telecom & Utilities

Processes 2M+ monthly inquiries for outage and plan requests, achieving 45% cost reduction.

Icon for Financial Services
Financial Services

Resolves cross-product queries like balance and loan eligibility with 70% first-contact resolution, 100% compliance.

Icon for Pre-Sale Product Consultation
Pre-Sale Product Consultation

Compares SKUs across specs and reviews in under 2 seconds, driving 3x conversion lift.

Icon for BPO & Outsourced Services
BPO & Outsourced Services

Equips outsourced agents with unified tools, cutting onboarding 35% faster while maintaining 4.6 CSAT.

Difference between types

Features
Human-AI collaboration
floating authorization
Human-AI collaboration
binding machine
Unattended
foating authorization
Activation
Account and Password
Activation Code
Encription Key
Internet Connection
Automation Commander

Difference between community and enterpise versions

Features
Community version
Entreprise version
Process Operation
Binding Credientials
Massive Deployment

Paradigm Shift in RPA Development

Difficulty
Traditional RPA Development
Magic Hat RPA Development
Build Development Structure
Drag-and-drop commands
Describe–Generate–Verify
Skill Requirements
Proficient in all commands
Clearly describe automation steps
Develop RPA Extensions
Professional developers
Common Developers

Analytics

Actionable Business Insights

Surface real-time trends across products, channels, and customer segments. Drill down from high-level KPIs to individual conversation funnels — so your team makes data-driven decisions.

Optimize

Strategy & Optimization

Deploy multiple response strategies and compare performance with live testing. Analyze agent responses to surface optimization opportunities — from clustering fallback replies to automatically detecting and improving matched response quality.

Automation

SOP-Driven Multi-Turn Conversations

Define service workflows as natural-language SOPs, and the AI agent executes them step-by-step across multiple turns. From returns to account changes, every process stays on track — no rigid decision trees needed.

Knowledge

Universal Knowledge Base

Ingest documents, URLs, plain text, images, and structured data into a unified knowledge layer. Built-in citation analytics track how each piece of knowledge is matched and used, with instant activation — no versioning delays.

Security

Enterprise-Grade Security & Permissions

Role-based access control, data isolation across tenants, and fine-grained permission management ensure your customer data and service configurations stay secure and compliant at every level.

Difference between APA and RPA

"The core difference of APA isn't just more features, it's about who pays for the change."
While RPA relies on manual labor to scale, APA leverages AI Agents to handle marginal costs, making long-tail automation economically viable.
Laiye APA
Traditional RPA
Process Development
Natural Language & Document-driven
Manual drag-and-drop &mapping
Process Execution
Code + LLM + Computer Use Agent
Purely code-native execution
Application Scenarios
Extensive
(AI provides judgment and decision making capabilities for processes)
Limited
(only rule-based processes)
Stability & Efficiency
High
(still powered by code execution)
High
(code execution)
Interface Adaptability
Strong
(screen operation AI agent)
Weak
(code must be modified when the interface changes)

Why Laiye ACX

From legacy chatbots to general-purpose platforms — here’s what sets Laiye ACX apart.
Laiye ACX
Legacy Chatbot
General Workflow Builder
Context Handling
Full conversation reconstruction in seconds
Shallow session memory
Relies on prompt engineering or external memory
Multi-Intent
Parallel intent recognition & resolution
Single-intent per turn
Requires manual workflow branching
Business Analytics
By-scenario, by-product T+1 drill-down insights
Aggregate resolution rate only
No built-in CX analytics
Task Automation
SOP-driven multi-turn execution with natural language
Static decision trees, no adaptive flow
Flexible but requires coded definitions
Knowledge Management
Unified ingestion of docs, URLs, text & images with AI dedup and instant activation
Manual versioning, days to deploy
Basic RAG, manual document upload
Strategy Testing
Live A/B with side-by-side comparison
Basic testing only, no multi-strategy comparison
No CX testing framework
Channel Integration
Native omnichannel (API, App, Web, WhatsApp, etc.)
Supports major channels, limited context sharing
API connectors, no unified CX layer
Team Collaboration
Self-service for business teams; dev support needed for system integration
Requires extensive manual effort to maintain Q&A corpora
Developer-oriented, requires technical skills

How APA Scales Automation and Expands Business Boundaries

The total cost of traditional RPA grows linearly because every new process relies heavily on scarce human experts for development and maintenance. Laiye APA (Agentic Process Automation) redefines the economic model of  automation. By delegating the burden of building and self-healing to AI Agents, APA achieves a significant reduction in marginal costs. Scaling creates an efficient flywheel rather than a cost bottleneck.

10x Developer Pool: Empowering Everyone to Build
APA leverages Agent-driven Development to transform complex programming logic into natural language oversight. This allows RPA engineers, IT team, business analysts, and even domain experts to participate in automation. By shifting automation from a scarce expert dependent resource to a scalable system capability, APA expands the pool of potential builders by an entire order of magnitude.

10x Scenario Coverage: Making Every Process Worth Automating
APA drastically lowers the cost of building and maintaining long-tail processes. With Built-in LLM Commands to handle non-standard decision-making and Computer Use Agents to manage frequent UI changes, scenarios that were previously impossible to automate now possess clear commercial value. APA extends enterprise automation coverage from the top 10% to over 50%, ensuring intelligent automation reaches every corner of the business

Differences between SaaS Version & On-premise Version

Modules
Features
SaaS Version
On-premise Version
Building Skills
FAQ
Flow Builder
Automation
Table QA
Document search
Annotation
Online Learning
Issue Management
Knowledge Mining
Preset Messaging Channel
Preset Voice Channel
Pre-built Connectors
Pre-integrate vendor
Preset Customer service
Custom Handover API
User Channel Widget
Customer experience
User Feedback
NLU Customization
Multi-Model Interaction
Dynamic Dialogue Policy
Customization
Personalized Experience
Metadata Application
Authority system
API Integration
Scalability

Differences among different types

/
Attended & floating
Attended & node-locked
Unattended & floating
Account and password
Activation code
Encryption key
Activation
Network
Need
No need
Need
Commander
Necessary
Not necessary
Necessary

Differences between community & enterprise versions

Features
Community Version
Enterprise Version
Process execution
Node-locked license
High-density deployment

Differences between community version & enterprise version

Features
Community version
Enterprise version
Foundational function
Client software update
Parameters & credentials
Real-time monitoring and screencapture
Role & department management
Open API

RPA in the future

As foundation of intelligent automation

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.

Drive the landing of AI Agents

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.

New pattern of human-AI collaboration

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.

integration of diverse tools

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

Cogntive automation

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.

Combination of multiple models

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.

Real-time data bank

Connect your CRM system with Laiye IDP to get structured data resources for utilization. Built your chain of value, from database to business insights.

How can we help you do better and be better ?