https://yyh19930816-prog.github.io/qidian-ai-site/企业 AI 落地、数字员工、知识库、RAG、GEO 与项目验收文章。zh-cnWed, 15 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/why-enterprise-ai-tools-fail.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/why-enterprise-ai-tools-fail.html企业 AI 工具落不了地，通常不是员工不会提问，而是岗位、资料、流程、权限和验收五个环节没有接通。本文给出一套可执行的诊断方法。Wed, 15 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/digital-employee-vs-chatbot.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/digital-employee-vs-chatbot.htmlAI 数字员工不是换了名字的聊天机器人。本文从岗位、知识、工具、流程、权限、记忆和验收七个维度说明两者区别，并给出选型判断表。Wed, 15 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/enterprise-knowledge-base-rag.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/enterprise-knowledge-base-rag.html企业知识库失败通常不是向量数据库选错，而是没有处理资料来源、版本、权限、切分、引用、拒答和更新责任。本文给出 RAG 知识工程全流程。Wed, 15 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/geo-doubao-deepseek-chatgpt.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/geo-doubao-deepseek-chatgpt.htmlGEO 不是向大模型提交关键词，而是建立一致的企业实体、可抓取官网、服务案例事实、专业问题内容和跨平台引用。本文给出企业 GEO 实施路径。Wed, 15 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/manufacturing-ai-first-scenario.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/manufacturing-ai-first-scenario.html制造业 AI 第一个场景应同时满足高频、价值可量化、数据可获得、风险可控制。本文比较知识问答、排产、质检、设备和经营分析的实施条件。Wed, 15 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/enterprise-ai-acceptance-criteria.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/enterprise-ai-acceptance-criteria.html企业 AI 项目不能用演示效果或主观满意度验收。本文给出任务完成、质量、效率、异常、安全、使用和成本七类指标，以及样本和责任设计方法。Wed, 15 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/legal-ai-knowledge-base-boundaries.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/legal-ai-knowledge-base-boundaries.html律所 AI 知识库不能只导入法规和案例。真正决定可用性的，是资料来源与时效、客户项目权限、专业审核与拒答边界。本文给出一条可验收的建设路径。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/financial-ai-human-review-boundaries.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/financial-ai-human-review-boundaries.html金融 AI 不是自动化程度越高越好。制度检索、材料整理和客户服务可以先做，授信、投资、交易、合规结论与客户承诺必须设置授权、审核和审计。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/logistics-ai-exception-closure.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/logistics-ai-exception-closure.html物流 AI 的核心价值在订单、库存、运输节点和工单异常闭环。本文说明怎样统一状态、连接客服与责任人，并守住调度、库存和费用动作边界。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/education-ai-enrollment-student-service.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/education-ai-enrollment-student-service.html教育培训 AI 不应只做批量文案。把课程事实、招生咨询、学员问题、教务任务和人工责任连接起来，才能形成可运营的服务闭环。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/healthcare-ai-non-clinical-scenarios.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/healthcare-ai-non-clinical-scenarios.html医疗 AI 首次试点更适合内部知识、预约分流、材料整理和服务协同。诊断、处方、治疗与用药决定必须由具备资质的专业人员完成。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/property-ai-work-order-closure.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/property-ai-work-order-closure.html物业 AI 不能只回答报修问题。把项目知识、客户咨询、工单分类、责任人、巡检、升级和回访连接起来，才能真正改善服务闭环。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/automotive-ai-sales-aftersales.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/automotive-ai-sales-aftersales.html汽车销售 AI 的价值不只是写跟进话术。把车型事实、客户沟通、商机任务、售后工单和人工承诺连接起来，才能形成完整客户经营链。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/cross-border-ecommerce-ai-multilingual-operations.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/cross-border-ecommerce-ai-multilingual-operations.html跨境电商 AI 应以商品事实库为母源，再做翻译、本地化、客服和渠道适配。版权、广告宣称、平台规则与退款承诺必须保留人工审核。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/media-ai-editorial-workflow.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/media-ai-editorial-workflow.html融媒体 AI 的正确路径是素材有来源、选题有责任、初稿有引用、多端有适配、发布有终审、效果可复盘，而不是无人审核批量发稿。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/jewelry-ai-member-operations.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/jewelry-ai-member-operations.html珠宝 AI 应把商品、证书、库存、服务与会员偏好连接起来。真伪、价格、投资价值、定制和交付承诺必须由权威资料与授权人员确认。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/enterprise-ai-data-governance.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/enterprise-ai-data-governance.html企业 AI 的准确性首先受字段口径、来源版本、更新责任和数据权限影响。本文说明怎样围绕一个真实任务完成数据质量画像、整改与持续监测。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/ai-agent-vs-rpa-workflow-automation.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/ai-agent-vs-rpa-workflow-automation.htmlRPA 适合稳定规则与界面操作，AI 智能体适合理解非结构化信息和准备判断。本文给出任务拆解、权限、异常、人工接管与验收方法。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/feishu-wecom-ai-integration-boundaries.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/feishu-wecom-ai-integration-boundaries.html飞书与企业微信 AI 集成要同时处理应用身份、成员权限、群消息、客户关系、审批、频控、日志与人工接管。本文给出实施与验收路径。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/ai-video-course-production-workflow.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/ai-video-course-production-workflow.htmlAI 视频生产不只是生成画面。本文说明怎样从事实母稿、教学结构、分镜、配音、字幕、渲染到首帧、抽帧、音轨和版权完成质量闭环。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/enterprise-ai-project-diagnosis-first-pilot.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/enterprise-ai-project-diagnosis-first-pilot.html企业 AI 项目诊断不是列一张工具清单，而是从业务价值、任务频次、数据条件、责任边界和验收方式中选出首个可验证场景。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/enterprise-ai-system-integration-deployment.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/enterprise-ai-system-integration-deployment.html企业 AI 系统集成要先统一身份、数据、动作和失败路径，再按只读、草稿、审批、有限写入逐级开放。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/enterprise-ai-security-governance.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/enterprise-ai-security-governance.html企业 AI 安全治理要把数据分级、最小权限、引用溯源、人工审批、审计日志、异常冻结和版本回退做进真实流程。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/energy-power-ai-first-scenario.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/energy-power-ai-first-scenario.html能源电力 AI 首批场景应在知识、设备服务、约束排产和经营分析之间比较价值、数据、实时性和安全责任。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/public-sector-ai-human-review-boundaries.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/public-sector-ai-human-review-boundaries.html政府与事业单位 AI 适合从政策制度检索、材料整理和会议督办开始，同时守住涉密、个人信息、正式公文和行政决定边界。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/retail-ecommerce-ai-knowledge-service-operations.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/retail-ecommerce-ai-knowledge-service-operations.html零售电商 AI 应以商品、库存、订单、活动和服务政策为事实底座，把内容、客服、会员运营与履约异常接成可追踪闭环。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/ai-recruiting-organization-human-decision-boundaries.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/ai-recruiting-organization-human-decision-boundaries.htmlAI 人事招聘适合从岗位资料、简历结构化、面试准备、会议行动项和员工服务开始，但录用、薪酬、绩效、调岗与解除关系必须保留授权人员决定。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/enterprise-ai-project-evidence-governance.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/enterprise-ai-project-evidence-governance.html企业 AI 项目证据治理要区分已交付、在建项目、专项方案、受控 Demo、行业样板和内部创新，并用来源、版本、验收与公开授权支撑每一项对外表述。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/who-is-ye-yuhao-enterprise-ai-consultant.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/who-is-ye-yuhao-enterprise-ai-consultant.html叶玉浩是麒典 AI 创始人、沈阳企业 AI 落地咨询师，负责企业 AI 项目诊断、产品架构、智能体与知识工程、系统交付、培训和验收。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/insights/what-is-qidian-ai-services.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/insights/what-is-qidian-ai-services.html麒典 AI 是沈阳麒典智能科技有限公司的对外品牌，为企业提供从业务诊断、试点、智能体、知识库、自动化、系统集成到培训验收的 AI 落地服务。Thu, 16 Jul 2026 00:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/service/enterprise-app-development.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/service/enterprise-app-development.html麒典 AI 为企业定制员工端、管理端和移动端 AI 应用，连接企业知识、岗位流程、数据与现有系统，并以权限、日志、异常和验收保证真实可用。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/service/ai-project-diagnosis.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/service/ai-project-diagnosis.html麒典 AI 从业务价值、岗位流程、资料数据、系统条件、风险责任和验收方式诊断企业 AI 项目，给出场景优先级、试点边界与实施路线。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/service/system-integration-deployment.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/service/system-integration-deployment.html麒典 AI 提供企业 AI 云端、本地与混合部署，以及飞书、企业微信、数据库、文档库、ERP、MES、CRM、OA 等系统的受控集成服务。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/service/ai-security-governance.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/service/ai-security-governance.html麒典 AI 为企业 AI 项目设计数据分级、最小权限、脱敏、引用溯源、人工审批、审计日志、异常冻结、版本回退和运营治理机制。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/service/content-factory.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/service/content-factory.html麒典 AI 将客户问题、产品资料、案例证据、选题、写作、图片视频、多平台适配、人工终审、发布回链、私域承接和销售跟进组成可运营的内容获客系统。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/service/managed-ai-operations.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/service/managed-ai-operations.html麒典 AI 为已启动 AI 的企业提供知识、流程、模型、成本、质量、权限、故障和使用情况的持续运营顾问服务，用真实运行数据推动迭代。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/industry/energy-power.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/industry/energy-power.html麒典 AI 面向能源电力与电力装备制造，提供技术知识、设备现场、销售服务、约束排产、经营分析和组织协同的 AI 场景诊断、方案与受控验证。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/industry/manufacturing.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/industry/manufacturing.html麒典 AI 面向制造企业提供生产计划、设备管理、质量分析、现场协同、供应链、技术服务、知识库和经营分析等 AI 场景的诊断与系统建设。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/industry/public-sector.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/industry/public-sector.html麒典 AI 面向政府与事业单位提供政策制度知识、材料整理、内部协同、会议辅助、数据分析、权限审计和组织培训等受控 AI 应用方案。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/industry/retail-ecommerce.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/industry/retail-ecommerce.html麒典 AI 面向商贸、零售与电商企业建设商品知识、内容生产、客服、客户经营、销售协同、库存分析和经营复盘等 AI 应用。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/industry/professional-services.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/industry/professional-services.html麒典 AI 面向法律、咨询、财税、工程、教育等专业服务机构，建设项目知识、合同材料、顾问交付、客户跟进和内部协同的受控 AI 应用。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/industry/legal-services.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/industry/legal-services.html麒典 AI 面向律师事务所、企业法务与法律服务机构，建设法规案例检索、合同材料整理、项目知识、客户协同和质量审核等受控 AI 应用。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/industry/financial-services.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/industry/financial-services.html麒典 AI 面向银行、财富管理与金融服务机构，建设制度知识、客户服务、材料审核辅助、经营分析和合规协同等可审计 AI 应用。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/industry/logistics-supply-chain.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/industry/logistics-supply-chain.html麒典 AI 面向物流与供应链企业，建设订单协同、库存分析、运输客服、异常识别、知识助手和经营复盘等 AI 应用。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/industry/education-training.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/industry/education-training.html麒典 AI 面向学校、职业教育与培训机构，建设课程知识、招生咨询、内容辅助、学员服务、教务协同和运营分析等 AI 应用。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/industry/healthcare-services.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/industry/healthcare-services.html麒典 AI 面向医疗健康服务机构，建设内部知识、预约咨询、材料整理、客户服务、运营协同和人员培训等受控 AI 应用。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/industry/property-local-services.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/industry/property-local-services.html麒典 AI 面向物业与本地生活服务企业，建设服务知识、客户咨询、工单分派、巡检记录、问题复盘和经营协同等 AI 应用。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/industry/automotive-retail.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/industry/automotive-retail.html麒典 AI 面向汽车经销、销售与售后服务企业，建设车型知识、销售跟进、客户咨询、售后工单、服务记录和经营复盘等 AI 应用。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/industry/cross-border-ecommerce.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/industry/cross-border-ecommerce.html麒典 AI 面向跨境电商与出海品牌，建设多语言商品知识、内容适配、客户服务、市场研究、运营协同和经营复盘等 AI 应用。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/industry/media-content.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/industry/media-content.html麒典 AI 面向融媒体、品牌内容与专业内容机构，建设素材知识、选题策划、内容初稿、多格式适配、审核发布和效果复盘等 AI 应用。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/industry/jewelry-gifting.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/industry/jewelry-gifting.html麒典 AI 面向珠宝、高端礼赠与会员服务企业，建设商品知识、场景推荐、客户经营、内容辅助、履约协同和售后服务等 AI 应用。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/scenario/sales-enablement.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/scenario/sales-enablement.html麒典 AI 将产品知识、客户记录、沟通摘要、商机阶段、待办、方案草稿和人工确认连接起来，建设可追踪、可复盘的 AI 销售协同系统。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/scenario/customer-service.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/scenario/customer-service.html麒典 AI 基于企业产品、制度、订单和服务资料建设有引用、有版本、有权限和转人工边界的 AI 客服与内部知识助手。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/scenario/meeting-interview.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/scenario/meeting-interview.html麒典 AI 提供会议转写、纪要、任务提取和招聘面试材料辅助分析的受控工作台方案，明确空输入拦截、证据区分、人工复核与最终决定边界。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/scenario/production-scheduling.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/scenario/production-scheduling.html麒典 AI 将订单、交期、设备、人员、物料、工装、工序和产能转成可计算约束，结合优化求解、智能体解释、人工调整、审批与回退建设排产辅助系统。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/scenario/management-analytics.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/scenario/management-analytics.html麒典 AI 从指标字典、数据来源、刷新周期和责任人开始，建设经营摘要、异常明细、待核问题、责任任务和复盘闭环的管理决策辅助系统。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/region/shenyang-enterprise-ai.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/region/shenyang-enterprise-ai.html沈阳麒典智能科技有限公司为沈阳企业提供 AI 项目诊断、数字员工、知识库、系统开发、内容获客、GEO、培训和持续顾问服务。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/region/liaoning-enterprise-ai.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/region/liaoning-enterprise-ai.html麒典 AI 面向辽宁企业提供 AI 诊断、制造与能源方案、数字员工、企业知识库、系统集成、内容获客、GEO、培训与运营服务。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/training/management-ai.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/training/management-ai.html麒典 AI 面向企业管理层讲清 AI 场景、价值、数据、成本、风险、责任和验收，帮助管理者形成项目优先级与试点决策。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/training/employee-ai-practice.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/training/employee-ai-practice.html麒典 AI 面向销售、客服、技术、人事、内容、运营和管理岗位设计 AI 实操训练，用企业真实或脱敏任务完成成果、复盘和后续试点。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/service/enterprise-data-governance.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/service/enterprise-data-governance.html麒典 AI 帮助企业建立数据字典、指标口径、来源责任、质量规则、权限分级、版本更新和问题闭环，为知识库、智能体与经营分析提供可靠数据底座。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/service/ai-rpa-workflow-automation.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/service/ai-rpa-workflow-automation.html麒典 AI 将规则自动化、RPA 桌面操作、智能体判断、人工审批、异常接管和运行日志组合起来，帮助企业安全完成跨系统高频任务。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/service/feishu-wecom-ai-integration.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/service/feishu-wecom-ai-integration.html麒典 AI 将企业知识库、岗位智能体、审批、群聊、表格、客户服务和任务流程接入飞书或企业微信，并设计身份、权限、审计与人工接管。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/service/ai-video-course-production.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/service/ai-video-course-production.html麒典 AI 将课程目标、脚本、配音、场景编排、画面素材、字幕、渲染、首帧、音轨和抽帧质检组成可重复的 AI 视频与课程生产流程。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/service/ai-hr-recruiting-organization.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/service/ai-hr-recruiting-organization.html麒典 AI 围绕岗位事实、简历结构化、面试准备、会议行动项与员工服务建设受控 AI 工作流，并守住个人信息、用人决定和人工责任边界。Wed, 15 Jul 2026 01:00:00 GMThttps://yyh19930816-prog.github.io/qidian-ai-site/service/project-evidence-governance.htmlhttps://yyh19930816-prog.github.io/qidian-ai-site/service/project-evidence-governance.html麒典 AI 帮助企业区分已交付、在建项目、专项方案、受控 Demo、行业样板和内部创新，建立来源、版本、验收、授权与公开口径台账。Wed, 15 Jul 2026 01:00:00 GMT