Insurance

Industry Applications
Smart Office Applications
The Financial Securities is undergoing a critical phase of digital transformation.
Traditional service models face challenges such as low account opening efficiency, complex investment decision-making, and poor customer service experience.
By integrating AI into core business processes, we deliver smarter and more efficient solutions tailored to the evolving needs of the securities sector.
Our intelligent office solutions for the securities industry help professionals eliminate repetitive daily tasks, enabling them to focus on creating greater business value.
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Intelligent Solution Advisor
Challenges
  • Complex Product Landscape
    The wide variety of insurance products and complex terms make it difficult for consumers to compare and choose.
  • Agent-Driven Limitations
    Agent-driven channels dominate, with recommendation quality influenced by experience and sales targets.
  • Lack of Personalization
    Traditional recommendation methods struggle to meet personalized needs, especially amid an aging population.
Solution
  • ✓ Intelligent Needs Assessment
    AI-powered questionnaires and chatbots accurately collect key information on family, finances, and health.
  • ✓ Smart Product Matching
    AI analyzes customer profiles and needs in real time to recommend 2-3 optimal insurance plans.
  • ✓ Clear Plan Explanation
    Simplifies coverage, premiums, and exclusions using easy-to-understand language.
Intelligent Insurance Application
Challenges
  • Complex and Error-Prone Forms
    Lengthy paper or static online forms are time-consuming and prone to errors.
  • Incomplete Customer Input
    Customers filling forms themselves or relying solely on verbal agent guidance often miss critical details.
  • High Manual Verification Costs
    Large amounts of manual verification and data entry are required, leading to high costs and low efficiency.
Solution
  • ✓ Guided Intelligent Form Filling
    Conversational AI or dynamic forms simplify complex insurance applications into easy steps with important risk alerts.
  • ✓ AI-Powered Document Processing
    For paper-based scenarios, OCR combined with NLP automates data extraction and entry.
  • ✓ Real-Time Synchronization
    Seamless integration with core enterprise systems ensures instant data updates.
Intelligent Underwriting
Challenges
  • Subjective and Non-standardized Processes
    Traditional underwriting relies heavily on subjective judgment and lacks standardization.
  • Time-Consuming Manual Handling
    Complex cases require lengthy manual processing, negatively impacting customer experience.
  • Inefficient Multi-Source Data Handling
    Diverse data sources—such as health declarations, medical records, and exam reports—require manual processing, leading to low efficiency.
Solution
  • ✓ Automated Underwriting
    AI applies rule matrices to quickly decide on standard cases, delivering results within minutes.
  • ✓ Intelligent Risk Assessment
    AI flags high-risk or anomalous cases and pre-assesses risk factors to assist human decision-making.
  • ✓ Explainable AI
    Clearly presents risk rules and decision rationale, ensuring transparency and trust in the underwriting process.
Intelligent Claims Processing
Challenges
  • Time-Consuming and Error-Prone Document Collection
    Collecting various paper documents (e.g., medical certificates, expense details) is time-consuming and error-prone.
  • Complex Manual Processes
    Manual processes are complex, causing slow case handling.
  • Lack of Real-Time Transparency
    Lack of real-time claim status inquiry channels leads to customer anxiety and complaints.
Solution
  • ✓ AI Document Processing
    Uses OCR and NLP technologies to automatically identify and extract key information from medical documents.
  • ✓ Intelligent Verification
    Automatically classifies document types, verifies quality, and provides instant alerts for missing materials.
  • ✓ Human-AI Collaboration
    Automatically flags risk points in cases and matches similar historical cases for reference.
Intelligent Customer Service
Challenges
  • Demand for Instant Responses
    High demand for instant customer query responses.
  • High Volume of Repetitive Questions
    60%-80% of inquiries are repetitive, leading to wasted human resources.
  • Dependence on Individual Skills
    Dependence on individual agent skills results in long training cycles and high costs.
Solution
  • ✓ 24/7 Omnichannel Support
    Provides round-the-clock response across all customer touchpoints.
  • ✓ Automated Replies for Common Questions
    Covers 80% of frequent basic questions such as account inquiries, transaction rules, and basic product info.
  • ✓ Visual Explanation Tools
    Uses charts and images to explain complex insurance terms and procedures.
  • ✓ Emotion Recognition and Escalation
    Employs sentiment analysis to detect customer dissatisfaction or anxiety, triggering timely alerts and escalation.
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Internal Knowledge Expert
Challenges
  • Scattered Knowledge Assets
    Corporate knowledge is stored across disparate systems, making it hard to centralize and retain.
  • Onboarding Difficulties
    New employees struggle to understand internal policies and procedures.
  • Repetitive Inquiries
    Staff frequently answer the same basic questions manually.
Solution
  • ✓ Centralized Document Management
    Organizes internal policies, business guidelines, product manuals, and other documents by category.
  • ✓ Intelligent Search
    Enables fast information retrieval through natural language queries.
  • ✓ Real-Time Knowledge Updates
    Allows real-time content updates with instant push notifications for policy changes across the organization.
Intelligent Meeting Assistant
Challenges
  • Manual Note-Taking is Time-Consuming
    Meetings require dedicated personnel for note-taking, and post-meeting summaries take time and effort.
  • Inconsistent Formats
    Meeting records vary in structure and quality, often depending on individual habits or experience.
Solution
  • ✓ Customizable Templates
    Tailor-made meeting summary templates to fit corporate standards.
  • ✓ Automated Transcription
    Records the entire meeting and automatically converts speech to text, delivering structured summaries.
  • ✓ Post-Meeting Follow-up
    Automatically extracts action items and assigns them to responsible parties with one click.
Intelligent Contract Assistant
Challenges
  • Time-Consuming Manual Drafting
    Contract drafting relies heavily on manual effort, especially when writing and adjusting complex clauses.
  • Risk of Overlooking Key Clauses
    Manual contract review often misses critical terms and conditions.
Solution
  • ✓ Smart Drafting
    Automatically matches standard agreements such as agency contracts and investment advisory agreements based on business scenarios.
  • ✓ Intelligent Review
    Detects missing clauses, ambiguous wording, and other risks, providing suggested modifications.
  • ✓ Seal and Signature Verification
    Identifies anomalies such as blurred, incomplete, or misaligned seals and signatures.
Intelligent Expense Reimbursement Assistant
Challenges
  • Large Volume and Variety of Receipts
    Numerous receipts of different types and amounts make manual sorting tedious.
  • Manual Judgments Lead to High Rejection Rates
    Expense standards and related classifications require manual decisions, resulting in frequent reimbursement returns.
Solution
  • ✓ Automated Parsing
    Supports photo uploads of invoices and automatically parses various types of receipts.
  • ✓ Automatic Data Entry
    Recognizes amounts and categories, intelligently populating reimbursement forms.
  • ✓ Smart Pre-Approval
    Pre-assesses compliance with reimbursement policies to assist in submission.
Customer Value
Significantly improves account opening efficiency and reduces re-submission rates
Generates personalized investment advisory recommendations
Provides 24/7 customer service, enhancing client satisfaction
Enables enterprises to achieve information integration, process standardization, and intelligent decision-making
Realize centralized management of enterprise knowledge, intelligent risk control management, and improvement of business efficiency