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執行與運營Execution & Operations

團隊結構、預算詳情、支援模式、風險管理與後續行動步驟Team structure, budget details, support model, risk management & next steps

///團隊結構與協作模式Team Structure & Collaboration Model

客戶方 (DATASYS)Client Side (DATASYS)

執行贊助者Executive Sponsor

C 級主管,推動轉型C-level champion for transformation

產品負責人Product Owner

定義需求並排定功能優先順序Defines requirements and prioritizes features

技術負責人Technical Lead

監督與現有系統的整合Oversees integration with existing systems

變革管理負責人Change Management Lead

推動使用者採用與培訓Drives user adoption and training

主題專家 (2-3人)Subject Matter Experts (2-3)

ERP/MES/PLM 工作流程的領域專家Domain experts for ERP/MES/PLM workflows

服務提供商方 (MonoMind)Service Provider (MonoMind)

專案經理Project Manager

1

整體交付問責制Overall delivery accountability

AI/ML 工程師AI/ML Engineers

2-3

LLM 整合、RAG 實施、代理編排LLM integration, RAG implementation, agent orchestration

全端開發人員Full-Stack Developers

3-4

前端/後端開發Frontend/backend development

UX/UI 設計師UX/UI Designers

1-2

使用者體驗與介面設計User experience and interface design

DevOps 工程師DevOps Engineer

1

基礎設施、部署、監控Infrastructure, deployment, monitoring

QA/測試QA/Testing

1-2

品質保證與測試Quality assurance and testing

各階段團隊規模Team Size by Phase

H1
6-8 人people

第1-4個月Months 1-4

H2
8-10 人people

第5-10個月Months 5-10

H3
10-12 人people

第11-28個月Months 11-28

H4
8-10 人people

第29個月+Months 29+

溝通與治理Communication & Governance

每週專案狀態會議Weekly project status meetings
每月執行指導委員會審查Monthly executive steering committee reviews
每季業務審查與投資報酬率驗證Quarterly business reviews with ROI validation
透明的問題升級與解決Transparent issue escalation and resolution

培訓與變革管理Training & Change Management

H1銷售團隊培訓 (AI 助理使用、潛在客戶儀表板)Sales team training (AI assistant usage, lead dashboard)
H2團隊培訓 (AI 原生網站使用與 AI 嵌入規劃)Team training (AI native website usage & AI planning)
H3開發人員培訓 (Builder 平台、代理創建)Developer training (Builder platform, agent creation)
H4合作夥伴啟動 (市集代理開發)Partner enablement (marketplace agent development)

實施後支援 (前90天)Post-Implementation Support (First 90 Days)

專用支援頻道 (Slack/Teams)Dedicated support channel (Slack/Teams)
每週答疑時段Weekly office hours for Q&A
錯誤修復與效能優化Bug fixes and performance optimization
使用者回饋收集與排定優先順序User feedback collection and prioritization
每月與關鍵利害關係人的檢查會議Monthly check-ins with key stakeholders

投資預算與報價Investment Budget & Quotes

總投資 (第一至第二階段): 800萬 新台幣, 12個月Total Investment (H1-H2): 8M TWD, 12 months
H1

第一階段報價 (第1-4個月)Horizon 1 Quote (Months 1-4)

3M

TWD

AI 助理開發AI Assistant Development1.2M TWD (40%)
代理工作流程後端Agentic Workflow Backend1.0M TWD (33%)
CRM 整合CRM Integration0.4M TWD (13%)
基礎設施與託管Infrastructure & Hosting0.2M TWD (7%)
專案管理與 QAProject Management & QA0.2M TWD (7%)

付款計劃Payment Schedule

0.9M

前期 (30%)

Upfront (30%)

1.2M

中期 (40%)

Mid-point (40%)

0.9M

完成時 (30%)

Completion (30%)

H2

第二階段報價 (第5-10個月)Horizon 2 Quote (Months 5-10)

5M*

TWD

* 費用僅包含網站重塑；不包含產品嵌入式 AI 與 5 個代理藍圖* Budget for Website Revamp only; excludes embedded AI & 5 blueprints

網站 AI UX 改版 (設計與原型)AI UX Redesign (Design & Prototype)1.5M TWD (30%)
AI 原生網站前端開發AI-Native Website Development2.0M TWD (40%)
AI 驅動搜尋與導航整合AI-Driven Search & Nav Integration1.0M TWD (20%)
基礎設施、安全性與擴展性Infrastructure, Security & Scaling0.5M TWD (10%)

付款計劃Payment Schedule

1.5M

前期 (30%)

Upfront (30%)

2.0M

中期 (40%)

Mid-point (40%)

1.5M

完成時 (30%)

Completion (30%)

H3

第三階段預估 (第11-28個月)Horizon 3 Estimate (Months 11-28)

待確認TBC
  • Builder 平台開發Builder platform development
  • 代理開發 SDKAgent development SDK
  • 認證計畫Certification program
  • 試點客戶支援Pilot customer support
H4

第四階段預估 (第29個月+)Horizon 4 Estimate (Months 29+)

待確認TBC
  • 代理商店開發Agent Store development
  • 市集基礎設施Marketplace infrastructure
  • 合作夥伴啟動Partner enablement
  • 生態系統支援Ecosystem support

按類別的總成本細分 (H1+H2): 800萬 TWDTotal Cost Breakdown (H1+H2): 8M TWD

8M
開發Development
4.8M(60%)
專案管理Project Management
1.2M(15%)
基礎設施Infrastructure
0.8M(10%)
培訓與變革管理Training & Change Mgmt
0.8M(10%)
應急費用Contingency
0.4M(5%)

投資報酬率時間軸ROI Timeline

H1第4個月Month 4

25% 轉換改善,6個月內自我償還25% conversion improvement pays for itself within 6 months

H2第10個月Month 10

30% 支援成本降低,持續節省30% support cost reduction provides ongoing savings

H3第24個月Month 24

平台經濟開始 (15% 收益來自平台)Platform economics begin (15% revenue from platform)

H4第36個月Month 36

40% 收益來自平台費用40% revenue from platform fees

回收期: 18-24個月 (基於轉換改善和支援成本降低的估計)Payback Period: 18-24 months (estimated based on conversion improvements and support cost reductions)

支援與風險Support & Risk

持續支援與風險管理Support & Risk Management

持續支援模式Ongoing Support Model

支援層級Support Tiers

第1級Tier 1自助服務Self-service

文件、論壇、聊天機器人Documentation, forums, chatbot

第2級Tier 2電子郵件/工單支援Email/Ticket Support

24小時內回應Response within 24 hours

第3級Tier 3專屬客戶經理Dedicated Account Manager

企業客戶專屬For enterprise customers

第4級Tier 4隨叫隨到工程支援On-call Engineering

關鍵問題專屬For critical issues

SLA 承諾SLA Commitments

<2s

回應時間Response time

95% 的 AI 查詢for 95% of AI queries

99.9%

正常運行時間Uptime

可用性availability

48h

錯誤修復Bug fixes

關鍵問題解決critical issue resolution

每季Quarterly

功能請求Feature requests

評估納入路線圖roadmap evaluation

文件交付成果Documentation Deliverables

每個階段的使用者指南User guides for each horizon
開發人員的 API 文件API documentation for developers
影片教學與螢幕錄影Video tutorials and screencasts
常見問題與故障排除指南FAQ and troubleshooting guides
最佳實踐與案例研究Best practices and case studies

風險管理與緩解Risk Management & Mitigation

風險矩陣: 機率 vs 影響Risk Matrix: Probability vs Impact

影響Impact
機率Probability
1
2
3
4
5
1
技術複雜性 - LLM 整合Technical Complexity - LLM Integration
機率Prob中Medium影響Impact高High

LLM 回應品質、幻覺、延遲問題LLM response quality, hallucinations, latency issues

緩解策略Mitigation

RAG 基礎、回應驗證、備用機制、廣泛測試RAG grounding, response validation, fallback mechanisms, extensive testing

2
使用者採用 - 銷售團隊抗拒User Adoption - Sales Team Resistance
機率Prob中Medium影響Impact中Medium

銷售團隊偏好手動資格審查而非 AI 輔助工作流程Sales team prefers manual qualification over AI-assisted workflows

緩解策略Mitigation

早期參與、試點計畫、展示節省時間、激勵措施一致Early involvement, pilot program, demonstrate time savings, incentive alignment

3
資料品質 - 不完整/不一致的產品資訊Data Quality - Incomplete Product Information
機率Prob高High影響Impact高High

AI 回應的品質取決於底層產品資料AI responses only as good as underlying product data

緩解策略Mitigation

第1個月的內容稽核與清理、持續的資料治理Content audit and cleanup in Month 1, ongoing data governance

4
整合複雜性 - 舊系統相容性Integration Complexity - Legacy System Compatibility
機率Prob中Medium影響Impact高High

到 ERP/MES/PLM 的安全連接器可能面臨技術挑戰Secure connectors to ERP/MES/PLM may face technical challenges

緩解策略Mitigation

早期技術探索、API 文件審查、試點整合Early technical discovery, API documentation review, pilot integrations

5
範圍蔓延 - 超出原計畫的功能請求Scope Creep - Feature Requests Beyond Original Plan
機率Prob高High影響Impact中Medium

利害關係人在開發期間請求額外功能Stakeholders request additional features during development

緩解策略Mitigation

嚴格的變更控制流程、排定優先順序框架、待辦事項管理Strict change control process, prioritization framework, backlog management

升級程序Escalation Procedures

專案級風險Project-level risks

專案經理 → 產品負責人Project Manager → Product Owner

策略風險Strategic risks

執行贊助者 → 指導委員會Executive Sponsor → Steering Committee

競爭分析Competitive Analysis

參考案例與競爭分析References & Analysis

競爭定位矩陣: 開放性 vs 製造業專業知識Positioning: Openness vs Manufacturing Expertise

製造業專業知識 ↑Manufacturing Expertise ↑
平台開放性 →Platform Openness →
目標區域Target Zone
SAP Joule
Oracle AI Agent Studio
Microsoft Copilot
DATASYS

功能比較表Feature Comparison Table

 SAP JouleOracle AI Agent StudioMicrosoft CopilotDATASYS
定位Positioning跨 S/4HANA 的嵌入式 AI 場景Embedded AI scenarios across S/4HANA受控合作夥伴市集的代理工作室Agent Studio with controlled partner marketplaceDynamics 365 中基於角色的生產力Role-based productivity in Dynamics 365目標區域Target Zone
優勢Strengths深度整合於 SAP 生態系統,大型企業客戶基礎Deep integration with SAP ecosystem, large enterprise customer base企業級安全性,Oracle 雲端基礎設施Enterprise-grade security, Oracle cloud infrastructureMicrosoft 生態系統整合,熟悉的使用者體驗Microsoft ecosystem integration, familiar user experience40年製造業專業知識40 years manufacturing expertise
劣勢Weaknesses封閉生態系統,SAP 技術堆疊鎖定Closed ecosystem, SAP stack lock-in受控合作夥伴模式,有限的開放性Controlled partner model, limited opennessMicrosoft 技術堆疊鎖定,通用而非製造業特定Microsoft stack lock-in, general-purpose not manufacturing-specific平台轉型中Platform transformation in progress

DATASYS 競爭優勢DATASYS Competitive Advantages

40年製造業領域專業知識 (ERP/MES/PLM)40 years manufacturing domain expertise (ERP/MES/PLM)
平台開放性 (客戶和合作夥伴建構代理)Platform openness (customers and partners build agents)
亞太市場接近性 (語言、文化、法規)Asia-Pacific market proximity (language, culture, regulations)
先行者優勢 (Builder GA 於第24個月)First-mover advantage (Builder GA by Month 24)
網絡效應 (更多代理 → 更多使用者 → 更多價值)Network effects (more agents → more users → more value)

成功因素Success Factors

執行贊助與承諾Executive sponsorship and commitment
跨職能協作Cross-functional collaboration
資料品質與治理Data quality and governance
以使用者為中心的設計User-centric design
技術卓越Technical excellence
紀律性變革管理Disciplined change management

關鍵假設Key Assumptions

DATASYS 致力於平台轉型 (而非僅添加功能)DATASYS committed to platform transformation (not just feature additions)
銷售團隊願意採用 AI 輔助工作流程Sales team willing to adopt AI-assisted workflows
客戶接受產品中的嵌入式 AICustomers receptive to embedded AI in products
存在對製造業特定 AI 代理的市場需求Market demand for manufacturing-specific AI agents exists
現有 DATASYS 系統具有可存取的 APIExisting DATASYS systems have accessible APIs
LLM 技術持續改進 (而非退步)LLM technology continues to improve (not regress)

相關產業案例Relevant Industry Case Studies

Salesforce Agent Marketplace

B2B SaaS 生態系統啟動B2B SaaS ecosystem launch

Shopify App Store

平台經濟與第三方創新Platform economics and third-party innovation

HubSpot Marketplace

合作夥伴建構的整合與工具Partner-built integrations and tools

UiPath Marketplace

RPA 代理與自動化市集RPA agents and automation marketplace

///後續行動步驟Next Steps & Call to Action

建議: 從第一階段 (4個月價值證明) 開始，透過改善客戶獲取來驗證 ROIRecommendation: Start with H1 (4-month proof-of-value) to validate AI ROI

立即後續步驟 (30天)Immediate Next Steps (30 Days)

第1週Week 1

探索工作坊Discovery Workshop

與關鍵利害關係人進行全日會議Full-day session with key stakeholders
現況評估與痛點驗證Current state assessment and pain point validation
H1 範圍定義與成功指標一致H1 scope definition and success metrics alignment
技術探索: API 存取、資料可用性、CRM 整合Technical discovery: API access, data availability, CRM integration
第2-3週Week 2-3

詳細工作說明書與合約Detailed SOW & Contract

最終確定 H1 交付成果、時程和投資Finalize H1 deliverables, timeline, and investment
定義驗收標準與成功指標Define acceptance criteria and success metrics
建立治理結構與溝通節奏Establish governance structure and communication cadence
簽署合約並啟動專案Sign contract and initiate project
第4週Week 4

專案啟動Project Kickoff

團隊介紹與角色澄清Team introductions and role clarification
專案計劃審查與里程碑確認Project plan review and milestone confirmation
技術環境設定Technical environment setup
內容稽核與資料清理啟動Content audit and data cleanup initiation

關鍵里程碑 (60-90天)Key Milestones (60-90 Days)

第 2 個月Month 2

AI 助理上線於 /start 頁面和聊天小工具AI Assistant live on /start page and chat widget

第 3 個月Month 3

代理工作流程與 CRM 整合完成Agentic workflow and CRM integration complete

第 4 個月Month 4

測量首次業務影響 (目標:轉換率提升25%)First business impact measured (Target: 25% conversion improvement)

第4個月的決策關卡Decision Gate at Month 4

審查 H1 結果: 轉換改善、資格審查時間減少、使用者回饋 → 驗證投資報酬率與 H2 的業務案例 → 決策: 進入 H2 或調整方法Review H1 results: conversion improvement, qualification time reduction, user feedback → Validate ROI and business case for H2 → Decision: Proceed to H2 or adjust approach

參與模式選項Engagement Model Options

推薦Recommended
選項 1Option 1

完整轉型合作夥伴關係Full Transformation Partnership

MonoMind 作為跨所有40個階段的策略合作夥伴MonoMind as strategic partner across all 4 horizons

產品策略、UX/UI 設計、技術架構、GTM 諮詢Product strategy, UX/UI design, technical architecture, GTM consultation
分階段交付,每個關卡都有明確的成功指標Phased delivery with clear success metrics at each gate
選項 2Option 2

第一階段價值證明Horizon 1 Proof-of-Value

4個月專注於 AI 助理 + 代理工作流程的參與4-month focused engagement on AI assistant + agentic workflows

可衡量的投資報酬率 (25% 轉換改善) 驗證方法Measurable ROI (25% conversion improvement) validates approach
第4個月的決策關卡,決定是否繼續 H2+Decision gate at Month 4 for H2+ continuation
選項 3Option 3

策略顧問Strategic Advisory

MonoMind 提供產品策略與路線圖諮詢MonoMind provides product strategy and roadmap consultation

DATASYS 內部團隊或合作夥伴在 MonoMind 監督下執行DATASYS internal teams or partners execute with MonoMind oversight
混合模式適用於專業能力 (AI/UX)Hybrid model for specialized capabilities (AI/UX)

聯絡資訊Contact Information

Daren Kang

創辦人暨首席顧問Founder & Head Consultant

MonoMind by 1TM

daren@monomind.one
+886 912 345 678
linkedin.com/in/darenkang
www.monomind.one服務組合範例Service Portfolio
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