AI Agent - Intelligent Agent Platform

Integrating mainstream LLMs to build enterprise AI assistants

    AI Agent icon

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

Open Source, Open

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