AI Agent - Intelligent Agent Platform
Integrating mainstream LLMs to build enterprise AI assistants
Core Features
AI technology empowering enterprise business processes
Multi-Model Support
Integrates Ollama, DeepSeek, Zhipu, Tongyi Qianwen and other mainstream LLMs, flexibly choosing the most suitable AI capability
Private Deployment
Supports local deployment of open-source LLMs like Ollama, data security fully controllable, no privacy concerns
Smart Dialogue
Natural language understanding, context memory, multi-turn dialogue, providing human-like interaction experience
Knowledge Base Q&A
Based on RAG technology, combined with enterprise knowledge base providing accurate answers, reducing hallucinations improving reliability
Agent Orchestration
Function Calling, MCP protocol support, building complex AI agent workflows
API Interface
Standardized API interface, easy to integrate into existing business systems, quickly implementing AI capabilities
Bytedesk AI Agent Matrix
Build digital teammates for service, pre-sales, sales, after-sales, and operations, turning customer service into a growth engine
Customer Service Assistant Agent
Helps human agents search knowledge, draft replies, summarize conversations, detect sentiment and SLA risks, and recommend next service actions.
Pre-sales Agent
Identifies visitor needs, recommends products or solutions, captures leads, scores purchase intent, and smoothly hands high-value customers to human teams.
Sales Agent
Supports quote explanation, order guidance, payment reminders, order lookup, and fulfillment coordination to reduce loss between consultation and purchase.
After-sales Agent
Handles orders, logistics, refunds, returns, warranty, complaints, and ticket follow-up to improve response efficiency and customer satisfaction.
Operations Agent
Combines conversation, tag, order, and ticket data to generate customer segments, outreach strategies, and repeat-purchase recommendations.
Service Growth Loop
Conversations build customer assets, customer assets drive personalized service, and service outcomes improve knowledge, workflows, and operations strategy.
Phased Implementation Plan
Bytedesk will progressively deliver practical enterprise agent capabilities based on configurable prompts, knowledge retrieval, tool calling, workflow orchestration, and analytics.
- Unify conversation, visitor, member, order, ticket, and knowledge base context
- Connect real business systems through permission-controlled tool calling
- Use workflows for human handoff, ticket creation, callbacks, outreach, and review
- Track response efficiency, conversion, satisfaction, repurchase, and service quality
From Customer Service Tool to Digital Teammate
AI Agents are more than auto-reply bots. They understand customers, invoke knowledge, execute workflows, accumulate experience, and support growth. Teams can start with assistant and knowledge Q&A scenarios, then expand into pre-sales conversion, sales coordination, after-sales tickets, and full-domain operations.
Supported LLMs
Ollama
Local deployment, open-source free, supports Llama, Qwen and other models
DeepSeek
Excellent domestic LLM, cost-effective, strong reasoning ability
Zhipu AI
Tsinghua technology background, excellent Chinese understanding
Tongyi Qianwen
Alibaba Cloud product, powerful multimodal capabilities
Use Cases
Smart Customer Service
7x24 auto-reply to customer inquiries, combined with knowledge base providing accurate answers, human agent fallback
Content Creation
AI writing assistant, auto-generate documents, reports, announcements, improving creation efficiency
Data Analysis
Natural language data queries, auto-generate reports and visualizations, business insights
Process Automation
Agents auto-execute repetitive tasks, workflow orchestration improving business efficiency