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工作坊怎么做才有用？从讨论热点到验证一个业务场景</title><link>https://www.luoyucapital.com/insights/ai-workshop-design/</link><guid>https://www.luoyucapital.com/insights/ai-workshop-design/</guid><description>参考 AIP Bootcamp 的共同构建思想，设计有准备条件、有范围、有验收成果的企业 AI 工作坊，并区分演示、试点和生产部署。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>企业 AI 战略怎么制定？一份连接经营目标与落地项目的路线图</title><link>https://www.luoyucapital.com/insights/ai-strategy-roadmap/</link><guid>https://www.luoyucapital.com/insights/ai-strategy-roadmap/</guid><description>企业 AI 战略应回答投什么、为什么、谁负责和如何退出。本文提供机会组合、能力准备、阶段投资和治理安排的路线图框架。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>企业第一个 AI 项目做什么？用五项条件筛选高价值应用场景</title><link>https://www.luoyucapital.com/insights/ai-use-case-selection/</link><guid>https://www.luoyucapital.com/insights/ai-use-case-selection/</guid><description>从业务价值、可重复性、数据准备、负责人投入与可测量性筛选 AI 场景，解释为什么高分项目仍可能不适合启动。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>AI 项目 ROI 怎么算？把审核、返工和运行成本一起纳入投入产出</title><link>https://www.luoyucapital.com/insights/ai-project-roi/</link><guid>https://www.luoyucapital.com/insights/ai-project-roi/</guid><description>用透明的假设测算 AI 项目价值，区分节省工时、可兑现收益和净收益，提供基线、成本、敏感性分析与复盘清单。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>企业 AI 试点怎么验收？从演示成功到可衡量的业务结果</title><link>https://www.luoyucapital.com/insights/ai-pilot-acceptance/</link><guid>https://www.luoyucapital.com/insights/ai-pilot-acceptance/</guid><description>建立 AI 试点验收标准：固定范围和测试任务，区分正确、拒答与越权，测量完整任务时间，并明确进入生产的条件。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>AI 原型为什么难以上线？企业从 PoC 到生产部署需要补齐什么</title><link>https://www.luoyucapital.com/insights/prototype-to-production/</link><guid>https://www.luoyucapital.com/insights/prototype-to-production/</guid><description>区分 AI 原型、受控试点和生产应用，梳理真实数据、系统接口、权限、监控、成本、维护与回退要求，解释上线工作的实际边界。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>企业 AI 知识库怎么落地？RAG 项目从资料整理到答案验收的六项工作</title><link>https://www.luoyucapital.com/insights/enterprise-rag-knowledge-base/</link><guid>https://www.luoyucapital.com/insights/enterprise-rag-knowledge-base/</guid><description>解释 RAG 如何连接企业资料与大模型，梳理来源、版本、检索、引用、权限和持续维护，并说明知识库为什么不是上传文件就结束。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>Ontology 是什么？为什么企业 AI 不只有知识库，还需要业务对象与规则</title><link>https://www.luoyucapital.com/insights/ontology-business-model/</link><guid>https://www.luoyucapital.com/insights/ontology-business-model/</guid><description>用产品、订单与询盘解释 Ontology 的业务含义，区分文档知识库、对象模型和可执行系统，并给出轻量建模的起步方式。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>企业 AI 治理从哪里开始？权限、人工审核、日志与责任的落地清单</title><link>https://www.luoyucapital.com/insights/ai-governance-access/</link><guid>https://www.luoyucapital.com/insights/ai-governance-access/</guid><description>将 AI 治理转为项目工作：明确资料读取、模型处理、输出、日志、导出和写回权限，建立人工审核、异常升级与变更评测。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>AI 咨询公司怎么选？企业采购前应核实的八项交付能力</title><link>https://www.luoyucapital.com/insights/ai-consulting-selection/</link><guid>https://www.luoyucapital.com/insights/ai-consulting-selection/</guid><description>不只看演示和专家履历，从问题理解、团队、范围、测试、治理、经济性、移交和维护八个方面评估 AI 咨询与实施服务商。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>工业品贸易企业如何做 AI 询盘助手？从产品资料到可审核的回复</title><link>https://www.luoyucapital.com/insights/industrial-inquiry-assistant/</link><guid>https://www.luoyucapital.com/insights/industrial-inquiry-assistant/</guid><description>拆解工业品询盘的资料、型号、规格、报价与审核流程，给出首期范围、数据字段、异常测试和业务验收方式。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>咨询与专业服务公司如何用 AI 做研究？建立从证据表到报告的工作流</title><link>https://www.luoyucapital.com/insights/professional-services-research-workflow/</link><guid>https://www.luoyucapital.com/insights/professional-services-research-workflow/</guid><description>为研究、咨询与企业服务团队设计 AI 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智能体还是固定工作流？从任务变化和执行成本判断</title><link>https://www.luoyucapital.com/insights/ai-agent-vs-workflow/</link><guid>https://www.luoyucapital.com/insights/ai-agent-vs-workflow/</guid><description>区分聊天助手、固定工作流 Workflow 和智能体 Agent，分析适用场景、人工节点、循环边界和试点比较方法。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>AI 工具调用如何进入企业系统？把建议、审批和执行分开设计</title><link>https://www.luoyucapital.com/insights/ai-tool-calling-safety/</link><guid>https://www.luoyucapital.com/insights/ai-tool-calling-safety/</guid><description>围绕企业智能体的工具调用 Tool Calling，设计窄接口、参数校验、审批、幂等、失败处理和操作记录，区分建议与执行授权。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>企业知识库回答不准怎么办？按资料、检索、生成和流程定位问题</title><link>https://www.luoyucapital.com/insights/rag-error-diagnosis/</link><guid>https://www.luoyucapital.com/insights/rag-error-diagnosis/</guid><description>将 RAG 错误拆为资料、检索、生成与工作流问题，通过可复现样例、分层测试和受控变更定位根因，避免只改提示词。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>RAG 知识库怎样评测？把检索质量、答案依据与业务可用性分开</title><link>https://www.luoyucapital.com/insights/rag-evaluation-metrics/</link><guid>https://www.luoyucapital.com/insights/rag-evaluation-metrics/</guid><description>为企业知识库设计分层评测 Evals，区分检索、依据一致性 Groundedness、拒答、任务效果与成本，准备验收样本并管理自动评分的局限。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>企业知识库如何管理资料版本？让更新、生效、失效与答案保持一致</title><link>https://www.luoyucapital.com/insights/knowledge-version-management/</link><guid>https://www.luoyucapital.com/insights/knowledge-version-management/</guid><description>为企业 AI 知识库建立资料台账、有效版本、冲突处理、更新验证和撤回机制，避免旧内容持续进入答案。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>企业大模型怎么选？用真实任务比较质量、速度、成本与部署条件</title><link>https://www.luoyucapital.com/insights/ai-model-selection/</link><guid>https://www.luoyucapital.com/insights/ai-model-selection/</guid><description>建立企业模型选型的业务门槛与测试方法，比较关键任务、权限环境、时延、成本、工具能力和替换成本，不依赖通用排名。</description><pubDate>Tue, 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GMT</pubDate></item><item><title>制造企业如何用 AI 分析质量问题？先区分事实、线索与根因</title><link>https://www.luoyucapital.com/insights/manufacturing-quality-analysis/</link><guid>https://www.luoyucapital.com/insights/manufacturing-quality-analysis/</guid><description>将质量记录、异常描述和历史处理连接成分析辅助流程，明确数据口径、证据、评审与验证，不把相关性直接写成根因。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>供应链异常如何用 AI 辅助处理？围绕事件、影响与待办建立工作流</title><link>https://www.luoyucapital.com/insights/supply-chain-exception-assistant/</link><guid>https://www.luoyucapital.com/insights/supply-chain-exception-assistant/</guid><description>将延迟、缺料和订单变化整理成可核查事件，设计状态更新、责任分工、人工审批和任务追踪，避免自动承诺交付。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>销售会议如何连接 AI 与 CRM？从纪要整理到经过确认的业务更新</title><link>https://www.luoyucapital.com/insights/sales-meeting-crm-assistant/</link><guid>https://www.luoyucapital.com/insights/sales-meeting-crm-assistant/</guid><description>设计会议摘要、客户事实、行动项与CRM字段的转换流程，处理授权、歧义、审核和重复写入，衡量完整工作而非只看摘要速度。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>企业客服 AI 应该从哪里开始？先做分类、检索与转人工，再扩大自动回复</title><link>https://www.luoyucapital.com/insights/customer-service-triage/</link><guid>https://www.luoyucapital.com/insights/customer-service-triage/</guid><description>为客服与售后设计问题分类、依据检索、回复草稿和转人工机制，区分可自动处理、需审核与必须升级的任务。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>AI 工具上线后员工不用怎么办？从工作入口、信任与责任推动实际采用</title><link>https://www.luoyucapital.com/insights/enterprise-ai-adoption/</link><guid>https://www.luoyucapital.com/insights/enterprise-ai-adoption/</guid><description>区分账号开通、使用频次与业务价值，分析AI应用不被采用的原因，设计任务培训、反馈、责任和推广门槛。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>企业 AI 成本怎样控制？从任务预算、模型路由到缓存与人工负担</title><link>https://www.luoyucapital.com/insights/ai-cost-control/</link><guid>https://www.luoyucapital.com/insights/ai-cost-control/</guid><description>将AI运行费用拆成模型、检索、工具、重试与维护，按任务比较成本和质量，设计缓存边界、预算告警与优化实验。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>企业做 AI 前数据要准备到什么程度？按场景检查资料、字段与授权</title><link>https://www.luoyucapital.com/insights/enterprise-ai-data-readiness/</link><guid>https://www.luoyucapital.com/insights/enterprise-ai-data-readiness/</guid><description>区分知识问答、业务分析和工具执行的数据条件，用最小样本检查有效性、完整性、关联、更新、权限和责任，不把大规模清洗作为默认前提。</description><pubDate>Tue, 27 Oct 2026 16:00:00 GMT</pubDate></item><item><title>AI 应用更新怎么管理？模型、提示、资料与工具变更的发布清单</title><link>https://www.luoyucapital.com/insights/ai-change-release-management/</link><guid>https://www.luoyucapital.com/insights/ai-change-release-management/</guid><description>为企业 AI 应用建立变更记录、影响分析、回归测试、有限发布和回退安排，避免小改动悄悄改变业务行为。</description><pubDate>Tue, 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