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企业级 AI Agent 智能体 · 数字员工 · RAG 知识库定制开发
Enterprise AI Agent, Digital Employee & Private RAG Knowledge Base Development
参考工期：2–6 周起 · 服务提供方：宋向荣技术工作室（核心成员来自京东、阿里、百度、小红书、安克创新）
曾任海外团队 AI Agent 开发组长，已商业化交付企业数字员工平台「菱镜AI」与行业级 AIGC 编排平台「新境动映 NovaFrame」。帮您把 DeepSeek、通义千问、豆包、Claude、OpenAI 等大模型真正接入企业内部业务系统与数据库，做到可执行任务、可权限管控、可私有化部署。
核心承接场景与解决方案 (Core Use Cases & Solutions)
企业可执行 AI 数字员工（对接飞书 / 企微 / CRM / ERP） (Executable AI Digital Employees (CRM / ERP / Feishu / WeCom))
不止于聊天问答：定制客服、销售跟单、HR 简历初筛、电商运营等数字员工，通过 Tool Use / MCP 协议自动查询数据库、生成报表、创建工单并推送飞书/企微审批，7×24 小时降本增效。
Agents that actually execute tasks: querying databases, drafting quotes, triaging tickets, generating analytics reports, and triggering Feishu/WeCom/Slack workflows 24/7.
企业私有 RAG 知识库与防幻觉问答系统 (Private Enterprise RAG Knowledge Base & Citation Q&A)
基于企业内部 PDF/Word 合同、产品手册、规章制度与历史工单构建向量与混合检索知识库，严格按部门角色做权限隔离，回答附带原文出处溯源，杜绝模型胡编乱造与数据外泄。
Hybrid vector + keyword RAG over your PDFs, contracts, wikis, and tickets with department-level RBAC permissions and strict source citations.
垂直行业大模型应用与多 Agent 自动化产线 (Vertical Industry LLM Apps & Multi-Agent Automation Pipelines)
将大模型能力嵌入你现有的 APP、小程序或管理后台，定制智能审单、营销文案批量生成、多语种翻译、漫剧分镜生产（如 NovaFrame）等高 ROI 业务流水线。
Embed multi-agent workflows directly into your mobile app, mini-program, or SaaS platform with smart model routing to cut token costs by 60%+.
标准合同交付物清单 (Contractual Deliverables)
- 定制化 AI Agent 核心编排服务（支持 DeepSeek / 豆包 / 千问 / OpenAI / Claude 灵活切换）
- 企业私有知识库管理端与多租户对话工作台（Web / H5 / 小程序 / 飞书企微接入）
- 确定性 Tool Use / MCP 接口层、权限鉴权、敏感词脱敏与调用审计日志
- 100% 完整前后端源码、System Prompt 工程资产与评测集
- 支持企业内网/私有云 Docker 一键部署 + 30 天免费技术质保
客户常见问答 (FAQ)
- 问：做一个企业AI知识库要多少钱和多久？ (How much and how long does it take to build an enterprise AI knowledge base?)
- 答：轻量私有知识库RAG一般2–3周。费用要按文档量、权限、系统接入和部署方式评估，我们会在24小时内给书面报价。部署用云服务器和向量库，不需要买显卡。 A lightweight private RAG knowledge base usually takes 2–3 weeks. The cost depends on document volume, permissions, system integration and deployment. We provide a written quote within 24 hours. It is deployed on a cloud server with a vector database, so no GPU purchase is needed.
- 问：AI数字员工能做什么，多久上线？ (What can an AI digital employee do, and how long until launch?)
- 答：客服、销售、运营类数字员工一般3–5周，可接业务数据库、飞书/企微，支持多轮对话和人工接管。能回答问题、查询信息并辅助流程，具体能力按你的业务场景设计。 Customer-service, sales and operations AI digital employees usually take 3–5 weeks. They can connect to business databases, Feishu/WeCom, support multi-turn conversations and hand over to humans. They can answer questions, retrieve information and assist workflows, with capabilities designed around your scenarios.
- 问：AI Agent接入内部系统安全吗？ (Is it safe to connect an AI Agent to internal systems?)
- 答：写操作不会让模型直接执行，改单、退款、审批等都有参数校验和人工二次确认。应用和向量库可私有部署在云服务器，调用承诺不留存、不训练的企业级大模型API。 The model cannot directly perform write operations. Actions such as order changes, refunds and approvals include parameter validation and a second human confirmation. The application and vector database can be privately deployed on a cloud server, using enterprise LLM APIs that commit to no retention or training.
- 问：企业用大模型每个月调用费贵吗？ (Are monthly LLM API costs expensive for a business?)
- 答：多数中小企业每月模型调用费几百元，实际取决于咨询量、上下文长度和所用模型。我们会做大小模型分流，简单问题走小模型，复杂任务走大模型，可省60%以上Token。 For most SMEs, monthly model API costs are several hundred yuan, depending on query volume, context length and models used. We route traffic between small and large models: simple questions use small models and complex tasks use large ones, which can save over 60% of tokens.
- 问：AI Agent可以嵌入小程序、APP或官网吗？ (Can an AI Agent be embedded into a Mini Program, app or website?)
- 答：可以，也能接入企业微信和飞书。首期POC/MVP通常2–4周，多系统协同、可执行的Agent平台一般4–8周。我们先选一个高价值场景验证，再逐步扩展。 Yes. It can also be integrated with WeCom and Feishu. The initial POC/MVP usually takes 2–4 weeks, while a multi-system, executable Agent platform generally takes 4–8 weeks. We start with one high-value scenario for validation and expand gradually.
- 问：我们的企业内部业务数据会被大模型拿去训练或泄露吗？ (Will our confidential company data be leaked or used to train public models?)
- 答：不会。支持私有化部署或企业专属合规云 API（关闭训练留存），数据传输与向量库存储全程加密，并按部门、角色做严格权限隔离，确保核心商业数据 100% 在你自己的服务器上可控。 Never. We deploy on your own private cloud/on-prem servers using enterprise zero-retention APIs or local open-weight models, with strict role-based access control.
- 问：我们不懂 AI 技术，如何判断我们公司的业务场景能不能用 AI Agent 落地？ (How do we know if our business workflow is a good fit for an AI Agent?)
- 答：把你目前最耗费人力的重复流程发给我，我会在 24 小时内免费为你做可行性评估，建议先从边界清晰、高投资回报率（ROI）的 1 个核心场景切入，2–3 周快速做出可用版本验证效果。 Tell me your most repetitive manual workflow. Within 24 hours I will give you an honest feasibility read and scope a focused 2–3 week Phase 1 agent with measurable ROI.