Frequently Asked Questions

The Enterprise AI Workstation deployment process consists of 5 steps:
1) Requirements Diagnosis (1 business day): 1-on-1 consultation to evaluate business scenarios and knowledge base scale
2) Package Confirmation (1 business day): Recommend a suitable package based on diagnosis results, sign contract upon confirmation
3) Data Preparation (1-3 business days): Enterprise prepares FAQ / documents / scripts / case library data
4) AI Training (10 minutes - 24 hours): Upload data, AI automatically parses and trains
5) Testing & Launch (1-3 business days): Simulate 100+ real conversations, officially launch after achieving 95%+ accuracy
The entire process can be completed in as few as 3 business days; complex private deployments take approximately 2 weeks.

Cloud Subscription: AI runs on KHB cloud servers, enterprises pay an annual subscription fee, no infrastructure setup required, quick launch in 3-5 days, suitable for micro and small businesses.
Private Deployment: AI is deployed on the enterprise's own servers or private cloud, data is processed entirely locally, suitable for large enterprises / groups / industries with data compliance requirements (finance, healthcare, government). Both offer the same features; the difference lies in data location and cost structure.

Full omnichannel support: WeChat Official Account / WeChat Mini Program / WeCom / Douyin (TikTok China) / Website Web / APP SDK / Phone Voice / Email. All channels share the same AI knowledge base and conversation records; customer conversation history across any platform is fully traceable. The number of integration channels varies by package tier. See Pricing Page for details.

Nearly all common formats are supported:
📄 Documents: PDF / Word / Excel / PPT / TXT / Markdown
🖼️ Images: JPG / PNG / WebP (automatic OCR text extraction)
🎬 Videos: MP4 / MOV (automatic speech-to-text conversion)
🌐 Web Pages: URL links (automatic content scraping)
💬 Conversations: Chat history export files
Up to 1,000+ documents can be uploaded and parsed concurrently. RAG document capacity ranges from 500 pages to unlimited depending on the package.

No retraining required. Enterprise AI Workstation uses a RAG (Retrieval-Augmented Generation) architecture with hot update support — newly uploaded documents can be learned by the AI within 1-5 minutes and immediately used for answering questions. All historical versions of the knowledge base are retained, and you can roll back to any version at any time. API auto-sync is also supported for real-time updates from enterprise internal systems.

Enterprise AI Workstation includes 13 mainstream global AI models, including DeepSeek series (V3/R1), Tongyi Qianwen Qwen series, Zhipu GLM series, Baichuan, 01.AI Yi, and more. The system automatically selects the optimal model based on question type, or you can manually compare responses from multiple models using the AI Arena feature. For specific industry scenarios, you can also integrate custom models.

AI Arena is an exclusive feature of Enterprise AI Workstation. Regular multi-model switching simply lets you switch between different models, while the Arena sends the same question to multiple models simultaneously, comparing response quality, speed, and logical completeness horizontally, then selects the Best Answer through a Voting System. This improves accuracy by over 35% compared to a single model, especially valuable for professional fields requiring high-quality responses (Legal, healthcare, finance).

Regular AI chatbots can only passively answer questions. KHB's Agent Platform has 11 core capabilities: code execution (18+ programming languages), web search, Shell terminal operations, sub-agent orchestration, external tool invocation (MCP protocol), skill package management, chained calls, OCR recognition, and more. Agents can proactively execute tasks (such as querying inventory, generating reports, sending emails) rather than just passively responding.

MCP (Model Context Protocol) is an open protocol that allows AI Agents to connect to enterprise external systems and data sources. Through MCP, Enterprise AI Workstation can connect to enterprise ERP, CRM, databases, API interfaces, and more, achieving true business process closure. For example: AI customer service can directly query order status, modify appointment times, trigger work order workflows, instead of just telling customers "please contact a human agent."

KHB's security sandbox uses container isolation technology. Each code execution runs in an independent container with the following security measures:
• Isolated runtime environments for 18+ programming languages
• Strict CPU / memory / network resource limits
• SSRF (Server-Side Request Forgery) protection
• Automatic timeout termination
• Full audit trail of all operations
Ensures AI-generated code does not compromise server security or leak sensitive data.

Traditional document retrieval is based on keyword matching and may miss content with the same meaning but different wording. KHB uses a hybrid retrieval architecture combining pgvector vector database + MeiliSearch full-text search engine, capable of understanding the semantic intent of questions rather than just matching keywords. For example, if a user asks "how to get a refund," RAG can match related content like "refund process," "refund application," "money return," etc., with recall and accuracy rates far exceeding traditional methods.

Yes. KHB provides a complete ChatGPT data migration tool supporting one-click import of ChatGPT conversation records exported in JSON format, with automatic deduplication and format conversion. Migrated conversations can continue to be viewed and managed on the KHB platform.

Enterprise AI Workstation uses a distributed architecture design supporting elastic scaling. Micro Business edition supports 15 concurrent users, SMB edition 50 users, Enterprise 100 users, and Industry unlimited. For high-concurrency scenarios (such as e-commerce promotions, marketing campaigns), temporary capacity expansion is available to handle traffic peaks. Average response time is under 500ms, with 99% of requests returning within 2 seconds.

4 package tiers available:
• Micro Business (¥12,800/year): Suitable for sole proprietors/startup teams, 10 AI Positions, basic features
• SMB (¥39,800/year): Suitable for growing businesses, 40 AI Positions, full omnichannel integration
• Enterprise (¥168,900/year): Suitable for groups/listed companies, 150 AI Positions, API access
• Industry (from ¥300,000/year): Suitable for industry leaders/industrial-scale clients, unlimited AI Positions, private deployment
For detailed benefit comparisons, please visit the Pricing Page.

The annual package fee includes: Enterprise AI Workstation usage rights + server resources + GEO SAAS module + GEO publishing quota + Token computing power credit (package price × 20%). Tokens are used for AI conversation calls; usage beyond the credit is billed on a pay-as-you-go basis. No hidden fees; all benefits are clearly priced.

Yes, new users can enjoy a 7-day free trial of the flagship version with full feature access. No charges are incurred during the trial period; choose a formal package after you're satisfied. Data and configurations generated during the trial can be seamlessly migrated to the official version.

Yes. Upgrades are supported at any time (price difference is paid pro-rata based on remaining days), and downgrades are also supported (effective the following year). No data migration costs are incurred midway; all configurations and data are fully preserved.

3-layer security assurance system:
1) Transmission encryption: Full-chain HTTPS/TLS 1.3 encrypted transmission
2) Storage encryption: Knowledge base uses AES-256 encrypted storage
3) Permission isolation: Fine-grained permission control by department/position
Data in private deployment versions never leaves the enterprise intranet; KHB has no access whatsoever.

Fully compliant. System design strictly adheres to PIPL requirements:
• User authorization: Explicit authorization required before all personal data collection
• Data minimization: Only collect the minimum data necessary for business
• User rights: Support for data inquiry, correction, deletion, and portability rights
• Compliance auditing: Regular third-party compliance audits
• Operation logging: All data processing operations are logged

Multi-layer compliance protection mechanisms:
• All AI output marked "for reference only"
• Built-in sensitive word filtering and violation content identification
• Compliance risk warning system
• Support for custom compliance rules (configurable by industry)
• Full audit trail of all operations
Ensures output complies with advertising laws, internet regulations, and industry-specific requirements.

Yes. Customized solutions are provided for industries with special compliance requirements:
• Finance: Level 3 security compliance + data isolation + audit logs
• Healthcare: HIPAA/PIPL dual compliance + access control
• Government: Level 3 security + national encryption algorithms + independent intranet deployment
• All sensitive operations have approval workflows and audit trails

Medical aesthetics institutions have three core pain points:
1) Severe order loss during night consultations — customer churn rate exceeds 70% after 8 PM, no one to receive customers after human agents go off duty
2) Low and unstable consultation conversion rates — new consultants only achieve 10%-15% conversion, experienced staff scripts are difficult to standardize and replicate
3) High multi-channel costs — scattered operations across WeChat/Douyin/official website/mini programs/Meituan and other platforms
Enterprise AI Workstation handles inquiries from all channels 24/7. After training on 10 years of customer consultation data, conversion rates can reach 35%+.

Absolutely. Enterprise AI Workstation has a dedicated compliance risk control layer for the medical aesthetics industry:
• Fed content is based on the institution's real cases and doctor recommendations; AI does not fabricate efficacy claims
• Built-in advertising law compliance detection automatically filters prohibited words (such as "cure," "100% effective," etc.)
• Sensitive topics (price/effects/risks) are automatically flagged for human handling
• All conversation records are retained for audit, meeting Health Commission regulatory requirements

The following types of data are recommended for feeding:
• Product/project materials: Detailed introductions, target audiences, precautions, and recovery cycles for each medical aesthetics project
• Pricing system: Price lists for each project, package combinations, promotional activity rules
• Historical consultation FAQ: High-frequency customer questions and standard answers from the past 3-5 years
• Doctor scheduling information: Facilitates AI arrangement of in-person consultation appointments
• Post-operative care guides: Care points and precautions for each project
Supports batch import in multiple formats such as PDF/Word/Excel/images, no need for manual item-by-item organization.

The medical aesthetics industry sees results quickly:
• Day 1-3: Complete data feeding and basic configuration
• Day 4-7: Simulation testing + script optimization
• Day 8-14: Small-scale trial operation (e.g., only enabled during night hours)
• Day 15-30: Full launch, entering optimization iteration period
Typical results: Consultation conversion rate increases from 18% to 35% (+94%), monthly increase of 240+ effective night engagements, replacing 8-12 online customer service agents, saving ¥60,000+ in monthly labor costs.
See Complete Medical Aesthetics Industry Solution.

Three core pain points in manufacturing:
1) Extremely long engineer training cycles — it takes over 6 months to train a qualified after-sales engineer
2) Technical knowledge leaves with people — experienced engineers take their expertise when they leave, new employees start from scratch
3) Slow after-sales service response — customers wait an average of 4 hours after reporting issues before receiving an initial response
Enterprise AI Workstation digitizes 20 years of technical documents into knowledge assets that new employees can query immediately.

Yes. Enterprise AI Workstation supports OCR image recognition and multimodal input:
• Technical drawings (CAD/PDF): AI can recognize drawing numbers, dimension annotations, material specifications, and other information
• Fault scene photos: AI can analyze equipment status, fault locations, and abnormal characteristics
• Maintenance manuals/instructions: Automatically parsed into structured knowledge entries
• Video tutorials: Extract speech-to-text + keyframe screenshots
This enables AI after-sales technicians to "diagnose from drawings" just like experienced engineers.

Yes. Through MCP protocol or API integration, Enterprise AI Workstation can deeply integrate with enterprise ERP, CRM, MES, PLM, and other systems:
• Automatically query equipment warranty status
• Retrieve spare parts inventory and shipping progress
• Create and track maintenance work orders
• Synchronize customer equipment profile information
Flagship version or private deployment is recommended to meet system integration needs.

Key metric improvements:
• Engineer training cycle: 6 months → 1 month (83% reduction)
• Technical Q&A accuracy: 98% (based on 20 years of accumulated technical documents)
• After-sales response time: 4 hours → 5 minutes (48x faster)
• Knowledge asset inheritance: From "knowledge lost when people leave" to "permanent accumulation"
See Complete Manufacturing Industry Solution.

Enterprise AI Workstation will not replace lawyers, but will handle 70% of repetitive junior work in legal practice, allowing lawyers to focus on high-value tasks:
• Contract preliminary review: Quickly review contract terms and flag risk points (8x efficiency improvement)
• Legal regulation retrieval: Second-level retrieval of relevant legal regulations and case law
• Customer consultation pre-screening: 24/7 online answers to routine legal questions, screening valuable cases
• Document drafting assistance: Generate drafts of contracts/letters/memorandums
Lawyers handle final review and strategic decisions; AI handles the "grunt work."

Enterprise AI Workstation has designed multiple safety mechanisms for the legal industry:
• Legal knowledge base is built on authoritative regulations and case law, not generic AI talk
• AI Arena multi-model cross-validation reduces the probability of single-model "hallucinations"
• All legal opinion-type responses are mandatorily marked "for reference only, does not constitute legal advice"
• High-risk topics involving litigation strategy/sentencing predictions are automatically transferred to lawyers
• Complete operation logs and audit trails meet bar association compliance requirements

The legal industry has extremely high privacy protection requirements. KHB provides:
• Lawyer-client data isolation architecture, data from different cases is invisible to each other
• PIPL-compliant data processing procedures
• Private deployment option (data never leaves the law firm's network)
• End-to-end encrypted transmission and storage
• Operation audit logs, every data access is recorded

Typical results:
• Contract review efficiency improved 8x (4 hours → 30 minutes)
• Equivalent to releasing the workload of 5 associate lawyers
• Customer satisfaction rate reaches 99%
• 70% of repetitive legal work automated
Value realization cycle is approximately 2-3 months. See Complete Legal Industry Solution.

Four major pain points in the education and training industry:
1) High consultation volume with slow response — parents wait 2 hours in queue during peak consultation periods
2) Inconsistent messaging across branches — 100 branches with 100 different stories, damaging brand image
3) Frequent policy changes — scripts cannot be updated in time after education policy adjustments
4) High turnover rate of course consultants — trained consultants leave and take customer relationships with them
Enterprise AI Workstation serves as a unified AI teaching assistant, 100 branches = 1 set of standard answers.

Yes. Enterprise AI Workstation supports hot update functionality:
• Administrators upload the latest version after policy documents are released
• AI learns new policies within 1-5 minutes and applies them to subsequent answers
• Global synchronization: AI teaching assistants across all branches/campuses update simultaneously
• Version rollback: If issues are found with updates, one-click rollback to the previous version
No more situations where "headquarters issued a notice but campuses are still talking about old policies."

Yes. Enterprise AI Workstation has context retention capabilities combined with student profiling:
• Records each student's grade/subjects/weak points/learning goals
• Automatically associates historical conversations when parents consult again
• Personalized course and teacher recommendations based on student situation
• Learning progress tracking and study plan reminders
Makes parents feel "this AI recognizes my child."

Typical results:
• Parent consultation response time: 2 hours → 30 seconds (240x faster)
• Monthly Q&A volume: 30,000+ (7×24 online)
• Parent satisfaction: 85%+
• 100% consistent messaging across branches
See Complete Education & Training Industry Solution.

The biggest pain point in cross-border e-commerce is extremely high multilingual customer service costs. Hiring a trilingual customer service agent who knows English + Japanese + Spanish costs at least ¥20,000+ per month, and it's hard to find someone who truly understands local culture. Enterprise AI Workstation natively supports 10+ languages, 1 instance = 10+ person multilingual customer service team, reducing costs by 90%. More importantly, AI doesn't just translate simply — it communicates using local consumers' language habits and cultural context.

Supports 10+ languages natively: English, Japanese, Korean, Spanish, French, German, Arabic, Russian, Portuguese, Italian, and more. Unlike rigid machine translation, KHB loads e-commerce scenario corpora for each language based on the RAG engine (return policy templates, logistics instructions, promotional scripts, etc.), making responses more aligned with local consumer reading habits. Overseas conversion rates improve by an average of 3x (1.2% → 3.6%).

Yes. Enterprise AI Workstation supports aggregated multi-platform message access, including Amazon Seller Central, eBay Message Center, Shopify store messages, TikTok Shop customer service, independent site Web Widget, and more. Buyer messages from all platforms are managed and replied to in a single interface, with AI automatically identifying the buyer's country/region and switching to the corresponding language.

Cost comparison (monthly):
• Traditional solution: 10+ person multilingual team ≈ ¥500,000/month
• Enterprise AI Workstation: SMB edition ≈ ¥3,320/month (including Token consumption)
• Cost reduction: Approximately 90%
Performance data: 3x improvement in overseas conversion rates, 12x improvement in response efficiency, covering 10+ country markets.
See Complete Cross-border E-commerce Solution.

The core challenge for food and beverage chains is "500 stores with 500 different practices." Enterprise AI Workstation acts as a pocket AI supervisor for every employee:
• SOP digital knowledge base: Standard recipes, formulas, and output standards for each dish
• One-click new product training distribution: All stores learn simultaneously on the day a new product launches
• Standardized customer complaint handling: Unified scripts and processing workflows
• WeCom/DingTalk integration: Employees ask AI directly in office software
New employee training cycle reduced by 70%, from 2 weeks to 2 days.

No additional equipment needed. Enterprise AI Workstation integrates into the enterprise's existing office tools:
• WeCom/DingTalk: Employees @AI directly in chat windows to ask questions
• WeChat Mini Program: Mobile access to SOPs and recipes anytime
• Store manager tablet: Store management end integrated with AI assistant
• Voice input: Voice queries supported in kitchen environments
Frontline employees have zero learning curve, as natural as asking a colleague.

Extremely secure. Private deployment mode is recommended:
• Recipe/SOP data stored on enterprise's own servers
• Role-based permission control: Store managers can see recipes, regular employees only see operation guides
• Operation log recording: Who viewed what recipe and when
• Data watermarking: Sensitive images/documents have invisible watermarks to prevent screenshot leaks

Typical results:
• Coverage of 500+ stores
• New employee training cycle reduced by 70%
• 100% consistent messaging (all stores use the same scripts)
• Customer complaint satisfaction improved by 60%
See Complete Food & Beverage Chain Solution.

Real estate consultants face two major challenges:
1) Unattended peak consultation hours during evenings/weekends — customers want to chat on their way home after viewing properties, but consultants are off duty
2) Low closing rates for newcomers — first 3 months performance is less than 30% of experienced staff
Enterprise AI Workstation serves as a 24/7 AI property consultant, with comprehensive property knowledge base + intelligent mortgage calculator + customer intent grading system, enabling newcomers to reach experienced staff level in 3 days.

Yes. Enterprise AI Workstation includes an intelligent calculator module:
• Comparison of multiple schemes: commercial loans/provident fund loans/combo loans
• Down payment ratio, interest rate, monthly payment, total interest at a glance
• Calculation of various taxes: deed tax/value-added tax/agency fees
• Reverse recommendation of suitable properties based on customer budget
Calculation results can be sent directly to customers, 10x faster than manual calculation with zero errors.

Enterprise AI Workstation's knowledge base supports real-time updates:
• Property dynamics (prices/floor plans/sales control tables) can be automatically synchronized from sales systems via API
• Administrators can update with one click after promotional policy adjustments, taking effect globally
• Expired information is automatically flagged to remind administrators for confirmation
• Ensures customers always see the latest and most accurate property information.

Typical results:
• 24/7 online service (evening lead conversion rate +40%)
• Newcomer growth speed: 3 days = 3 months of experienced staff
• Zero outdated property information errors
• Significant improvement in property viewing appointment conversion rates
See Complete Real Estate Industry Solution.

The core contradiction in financial institutions is: it takes 1-2 years to train qualified financial advisors, but customer consultation volume continues to grow. Enterprise AI Workstation handles 80% of junior consultation work (product introductions, rate inquiries, basic financial planning), allowing human advisors to focus on 20% high-value work (key client maintenance, complex solution design, relationship management). Per-capita customer service capacity increases 3x.

Financial compliance is a key focus of Enterprise AI Workstation:
• Compliance engine: All responses filtered through compliance rules (e.g., no return guarantees, no disparaging competitors)
• Recording and archiving: Every AI conversation is fully recorded and archived to meet regulatory inspections
• KYC intent assessment: Automatically identifies customer risk levels and routes to corresponding advisor tiers
• Level 3 security certification: Private deployment passes Level 3 security evaluation
• Regulatory alignment: CBIRC/CSRC regulations embedded in knowledge base

Yes. Enterprise AI Workstation's full product line knowledge base includes:
• Detailed terms, rates, coverage scope, and exclusions for hundreds of products
• Claims processes and required document checklists
• Comparative analysis dimensions between products
• Latest policies and regulatory requirements
AI not only "remembers" all products but can also Smart Recommend the most suitable product combinations based on customer situations.

Typical results:
• 80% junior consultation automation rate
• 0 compliance violation incidents (based on compliance engine filtering)
• Per-advisor customer service capacity increased 3x
• Infinitely scalable concurrent service capacity
See Complete Finance & Insurance Solution.

Full coverage of two major automotive business scenarios:
Sales side: AI memory of all vehicle model parameters (10+ models × 50+ parameters), competitor comparison analysis, financial solution recommendations, test drive appointment management
After-sales side: AI fault diagnosis (fault code library + repair solutions), maintenance reminders, insurance renewal outreach, parts inquiry
From selling cars to managing cars, full lifecycle AI companionship.

Yes. Enterprise AI Workstation's AI after-sales technician module:
• Built-in OBD fault code library for mainstream brands (covering German/Japanese/American/domestic)
• Customer describes symptoms or takes photos → AI analyzes possible causes + recommends repair solutions + estimates costs
• Links parts inventory and technician scheduling, one-click appointment to store
• Accuracy based on official brand repair manuals, common fault match rate >90%

Enterprise AI Workstation establishes a full lifecycle profile for car owners:
• Records customer purchase information and preferences during the sales stage
• Automatically initiates maintenance reminder plans after vehicle delivery (by mileage/time)
• Automatically reaches out with insurance renewal recommendations before expiration
• Trade-in intent identification (based on vehicle usage duration/mileage/model popularity)
• Converts after-sales into secondary sales opportunities

Typical results:
• Test drive appointment conversion rate +35%
• After-sales return visit rate +25% (proactive maintenance reminders)
• After-sales technician training cycle: 2 years → 3 months
• Vehicle model parameter memory capacity: Unlimited (full brand coverage)
See Complete Automotive Services Solution.

Customer service teams in SaaS companies are usually cost centers; KHB turns them into growth engines:
• Dynamic product knowledge base: Automatically updates with releases, saying goodbye to "documentation always lagging behind"
• AI technical troubleshooting: Error log analysis, log interpretation, solution push
• User churn warning: Identifies churn signals (continuous errors/long inactivity/negative feedback)
• AI Onboarding tutor: Beginner guidance, feature discovery, task-driven onboarding
SaaS is also the industry with the fastest value realization across all industries (1-2 months).

KHB provides a Release linkage mechanism:
• Integrates with CI/CD pipelines, automatically extracts changelogs during releases to update the knowledge base
• New feature documentation is automatically indexed, users get the latest answers when asking questions
• Version awareness: AI knows which version the user is using and provides corresponding accurate answers
• Deprecated features are automatically flagged with upgrade prompts
Completely solves the problem of "product updated but customer service still answering for the old version."

KHB supports SaaS multi-tenant architecture:
• Each SaaS customer's knowledge base is completely isolated and invisible to others
• Encrypted data storage and transmission
• SOC 2 Type II compliance standards
• Optional private deployment (deploy KHB on the SaaS company's own infrastructure to provide AI services to its customers)

Typical results (also the fastest value realization industry):
• Value realization cycle: 1-2 months ⚡
• Technical issue self-service resolution rate: 70%+
• User activation rate improvement: +30%
• Customer service labor cost reduction: 40%
See Complete SaaS Industry Solution.

Enterprise AI Workstation's positioning in healthcare is "health management assistant," absolutely does not participate in any clinical diagnosis and treatment decisions. Specific application scenarios:
• Intelligent triage navigation: Recommends appropriate departments and doctors based on patient-described symptoms
• Test report interpretation: OCR recognizes reports + explains indicator meanings in plain language
• Medication reminders and follow-ups: Medication time reminders, re-examination notifications, rehabilitation guidance
• Health consultation: Preventive health advice on lifestyle, diet, exercise, etc.
The core value is freeing doctors from non-clinical consultations that take up 30%+ of outpatient time.

Enterprise AI Workstation's report interpretation capabilities:
• OCR automatically recognizes various physical examination report formats (from different hospitals/examination centers)
• Converts medical indicators into plain language: "Your fasting blood glucose is 6.8, slightly above the normal upper limit of 6.1, recommend rechecking glucose tolerance test"
• Abnormal indicators highlighted in red with recommendations for which department to visit
• Historical report trend comparison
• Interpretation satisfaction rate reaches 90%+

Healthcare industry adopts the highest level security solution:
• HIPAA + PIPL dual compliance standards
• Patient data desensitization (name/ID number/medical record number, etc.)
• Access permissions graded by role (different permissions for doctors/nurses/administrators)
• Operation logs meet Health Commission electronic medical record management standards
• Private deployment strongly recommended, data never leaves hospital network

Typical results:
• Doctor time released: 30%+ (return to core diagnosis and treatment work)
• Patient readmission rate: -25% (effective follow-up management)
• Report interpretation satisfaction: 90%+
• 7×24h health consultation services
See Complete Healthcare Solution.

The core goal of government services is "citizens make fewer trips." Enterprise AI Workstation serves as an AI government assistant:
• Intelligent policy document Q&A: Massive policy documents → natural language Q&A
• Intelligent form filling assistance: Guides citizens to correctly fill out application forms, reducing returns
• 7×24×365 uninterrupted service: Breaks the 9-to-5 time limitation
• Multi-platform synchronization: Government network/WeChat official account/APP/offline terminals integrated
• Significantly improved citizen satisfaction, window queue time reduced by 60%.

Government industry must adopt private deployment + Level 3 security protection solution:
• Level 3 security architecture (five-layer protection: physical/network/host/application/data)
• National encryption algorithm support (SM2/SM3/SM4)
• Independent intranet deployment, physically isolated from the internet
• All data stored in government cloud/government dedicated network
• Passed national information security evaluation certification

Yes. KHB's government knowledge base has been specially optimized for policy document processing capabilities:
• Supports various formats: official documents, laws and regulations, departmental rules, local regulations
• Automatically extracts policy elements (issuing unit/effective date/applicable targets/core clauses)
• Plain language interpretation: Converts "legal jargon" into colloquial language citizens can understand
• Related recommendations: Automatically associates related policies, similar cases, and service guides
• Policy updates take effect immediately, no "outdated answers"

Typical results:
• 80%+ consultation questions resolved online (reducing window pressure)
• Window queue waiting time: -60%
• Form return rate: -40% (AI-assisted filling reduces errors)
• 365 days a year uninterrupted service
• Value realization cycle: 4-6 months (including security evaluation)
See Complete Government Services Solution.