Reports do not match reality报表看着完整，却对不上现场
Inventory, finance, sales, and customer records are scattered across people, spreadsheets, and outdated tools.库存、财务、销售和客户资料散落在不同人员、表格和旧系统里，谁都掌握一部分，但没人能看到全貌。
AI operations consulting for Philippine businesses服务菲律宾企业的 AI 运营与管理咨询
Wiseman Consulting Inc.
Build AI-ready management systems from messy operations, unclear data, and fragmented tools.让运营更清楚，让数据更可信，让管理真正跟上 AI 时代。
ERP foundationsERP 底座
Technology and AI技术与 AI
KPI rhythmKPI 管理
Finance control财务控制
We turn operational pressure into management rhythm.把日常经营中的压力，梳理成可执行的管理节奏。
- 01
- Data clarity before automation先理清数据，再谈自动化
- 02
- Systems teams can use daily做团队每天愿意用的系统
- 03
- AI grounded in real workflows让 AI 落在真实业务流程里
What we do我们做什么
Management systems for companies ready to operate smarter.为想把公司管得更清楚的企业，搭建真正能落地的管理系统。
Wiseman helps business owners clean their data foundation, redesign workflows, and build practical systems across ERP, inventory, finance, customer management, HR, salary logic, and performance control.Wiseman 帮企业主把分散的数据、流程和工具重新理顺，围绕 ERP、库存、财务、客户、人事薪酬和绩效管理，做出团队能用、老板能看、业务能跑的系统。
When to call us适合什么时候介入
The signs are usually visible before the system breaks.很多管理问题，不是突然发生的，而是早有信号。
Owners still chase basic answers老板每天还在追问基础数据
The business has activity, but the management team cannot quickly see margin, stock, responsibility, or performance.公司业务在跑，但利润、库存、责任、回款和绩效很难快速看清，决策只能靠经验和追问。
Tasks move, execution is unclear团队很忙，管理节奏却不清楚
People are busy, yet priorities, KPIs, follow-up, salary logic, and accountability are not connected into one rhythm.事情一直在推进，但优先级、KPI、跟进、薪酬和责任没有连起来，忙碌很难变成稳定结果。
Services服务
Built around systems, execution, and AI readiness.从流程、系统到 AI 应用，先把管理底座打牢。
AI Workflow DesignAI 工作流设计
Map repetitive management work and redesign it into AI-assisted routines that support decisions, reporting, and follow-up.把重复、低效、容易出错的管理动作梳理出来，改造成可由 AI 辅助完成的汇报、跟进和决策流程。
ERP & Data FoundationsERP 与数据底座
Clean base data, define master records, and structure operating logic before tools or dashboards are introduced.先清理基础数据、主数据和业务规则，再谈系统、看板和自动化，避免工具越上越乱。
Inventory, Finance & Customer Control库存、财务与客户管理
Build purchase-sales-stock visibility, financial controls, customer records, rebate tracking, and management reporting.打通进销存、财务控制、客户资料、返利追踪和经营报表，让关键数据能被及时看到、及时管理。
KPI & Performance SystemsKPI 与绩效系统
Create practical responsibility, salary, HR, and KPI mechanisms that help teams improve execution every week.把责任、薪酬、人事和 KPI 连接起来，让团队知道目标、知道标准，也知道如何持续改进。
Selected case work精选案例
Practical systems shaped by real operating problems.从真实经营问题出发，做能解决问题的系统。
01
Furniture Factory家具工厂
Cleaned base data, structured production workflows, introduced KPI supervision, and built ERP plus HR salary and performance logic.清理基础数据，重梳生产流程，建立 KPI 监督，并完善 ERP、人事、薪酬和绩效管理逻辑。
02
Auto Repair Center汽车维修中心
Rebuilt inventory and purchase-sales-stock management to improve stock visibility, customer management, and daily control.重建库存和进销存管理方式，让库存状态、客户资料和日常运营控制更加清楚。
03
Auto Dealership汽车经销商
Improved customer, finance, inventory, rebate, and sales performance systems for clearer management and stronger accountability.优化客户、财务、库存、返利和销售绩效系统，让管理层看得更清楚，团队责任也更明确。
Real timelines项目节奏
Built. Clarified. Delivered.先理顺，再落地，最后跑起来。
From scattered spreadsheets to one operating view in 30 days用 30 天，把分散表格整理成一张经营视图
SME Operations - Data + ERP + KPI
Inventory, customer and finance routines rebuilt in 6 weeks用 6 周，重建库存、客户和财务的日常管理动作
Auto Service - Systems + Reporting
AI-ready workflow designed before software spend在投入软件预算之前，先设计好面向 AI 的管理流程
Trading Company - Strategy + AI
Deliverables我们交付什么
Concrete outputs, not abstract consulting slides.不是一份漂亮报告，而是一套能继续运转的管理成果。
Operating diagnosis and workflow map经营诊断与流程梳理图
Clean data structure and master-record logic基础数据结构与主数据规则
ERP, inventory, finance, customer, and HR system blueprintERP、库存、财务、客户和人事系统方案
KPI dashboard and review rhythmKPI 看板与管理复盘节奏
AI-assisted reporting and follow-up workflowAI 辅助汇报与跟进流程
Implementation roadmap for owners and managers给老板和管理层看的落地路线图
Founder perspective创始人视角
Built from real company-building experience.这些方法，来自真实的创业和公司管理经验。
Wiseman is led by Ming Li, who built a company from zero, created internal systems, and developed management rules from real operating pressure.Wiseman 由 Ming Li 创立。他曾从零开始搭建公司，也在真实经营压力中，一步步建立内部系统和管理规则。
That experience shaped a simple belief: companies need better management tools, management talent, and operating systems to create more value in the AI era.这段经历带来一个很直接的判断：AI 时代，企业真正需要的不是更多工具，而是更清楚的管理方法、更合适的人和更能运转的系统。
The goal is not to make a company look more digital. The goal is to make management clearer, faster, and more valuable.数字化不是为了看起来先进，而是为了让管理更清楚、决策更快、执行更有价值。
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