Visitor questions become qualified leads
The agent answers with approved website content, service documents and case material, then captures industry, budget, timeline, contact details and buying intent for sales follow-up.
QinChao Software builds production AI agent systems for lead capture, customer consultation, knowledge operations and business automation. We connect websites, mini programs, apps, CRM, tickets, enterprise messaging and internal systems so AI can answer, route, record and act inside real workflows.
From the first page visit to the final handoff, every conversation, question and signal is captured, structured and delivered to the right team. No lost leads, no repeated explanations, no disconnected data.
The agent answers with approved website content, service documents and case material, then captures industry, budget, timeline, contact details and buying intent for sales follow-up.
Conversation summaries, objections, recommended solutions and next actions are recorded automatically, so the next call can focus on fit, proposal and delivery path.
An operations agent helps maintain pages, SEO/GEO content, posting schedules, knowledge base updates and release checks through controlled backend actions.
Each agent is designed for a specific role, with its own knowledge base, tool set and permission boundary. Together they form a coordinated system.
For websites, landing pages, H5 pages, mini programs and public account entry points: answer, guide, collect leads, route requests and notify sales.
Turn documents, service manuals, FAQ, contracts, cases and internal procedures into searchable, citable and maintainable enterprise knowledge.
Connect CRM, tickets, approvals, orders, dashboards and internal tools with permissions, audit logs, human handoff and failure handling.
We use OpenAI, Claude, DeepSeek, Qwen, Gemini, local models, private models, Codex and Claude Code based on task requirements. Strong reasoning models handle complex analysis, Chinese-optimized models handle local consultation, cost-efficient models handle high-volume FAQ, and code agents support development, testing and refactoring.
Engineering includes model routing, tool calling, RAG retrieval, permission policies, audit logs, scheduled jobs, fallback paths, human handoff and dashboards. Delivery formats include websites, H5, WeChat mini programs, Enterprise WeChat, admin consoles, dashboards, iOS/Android native apps and cross-platform apps. Backend stacks include Go, Node.js, Python, TypeScript, PostgreSQL, Redis, object storage, vector search, Docker, Nginx and Linux operations.