Assess an A-share portfolio company's AI readiness for China-focused private equity investments. Evaluates data infrastructure, technology stack, talent, and AI adoption opportunities in the Chinese market context. Triggers on "A股公司AI评估", "AI readiness China", "AI assessment portfolio company", "AI转型评估", or "artificial intelligence readiness [company]".
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Evaluate A股被投企业AI就绪度 — assessing portfolio companies' preparedness for AI adoption and transformation in the Chinese market context.
get_quote(ticker) → Company valuation context
get_financials(ticker, "income") → Revenue scale, R&D spend
get_stock_info(ticker) → Business description
Data readiness dimensions:
| Dimension | Assessment | China Context |
|---|---|---|
| 数据积累 (Data accumulation) | Years of data, volume | Chinese companies often have rich transaction data |
| 数据质量 (Data quality) | Completeness, accuracy | Legacy systems may have gaps |
| 数据打通 (Data integration) | Siloed vs unified | Common challenge: ERP/WMS/CRM not integrated |
| 数据治理 (Data governance) | Policies, standards | Often underdeveloped |
| 数字化基础 (Digital foundation) | ERP, cloud adoption | Varies widely by industry/company age |
Technology assessment:
| Layer | Questions | Typical China Status |
|---|---|---|
| 基础设施 | Cloud? On-premise? | Mix of on-premise and hybrid |
| 数据平台 | Data warehouse? BI tools? | Often Excel-heavy |
| 应用系统 | ERP, CRM, WMS, MES? | ERP common (用友, 金蝶, SAP) |
| 开发能力 | Internal IT team? | Varies; often outsourced |
| 技术投入 | IT spend as % revenue? | Typically 1-3% |
AI/tech talent:
| Role | Availability in China | Typical Company Status |
|---|---|---|
| 数据科学家 | Scarce, expensive | Usually not in-house |
| 算法工程师 | Scarce | Outsourced or absent |
| 数据工程师 | Available | Often basic level |
| 业务分析师 | Available | Excel-based mostly |
| 数字化领导 | Rare | Gap at leadership level |
Process digitization level:
| Process | Assessment | AI Potential |
|---|---|---|
| 客户管理 | CRM adoption | Customer analytics, personalization |
| 供应链 | ERP, WMS | Demand forecasting, optimization |
| 生产制造 | MES, IoT | Predictive maintenance, quality |
| 财务管理 | ERP, Excel | Automated reporting, anomaly detection |
| 营销销售 | WeChat, 抖音 | Targeted marketing, conversion |
| 人力资源 | Basic HR system | Workforce analytics |
Opportunity mapping:
| Business Function | AI Application | Expected Impact | Effort |
|---|---|---|---|
| 销售预测 | Demand forecasting | 10-20% accuracy improvement | Medium |
| 客户洞察 | Customer segmentation | 15-25% marketing ROI | Medium |
| 供应链优化 | Inventory optimization | 10-30% inventory reduction | High |
| 质量控制 | Defect detection | 30-50% defect reduction | High |
| 财务自动化 | Invoice processing | 50-80% time savings | Low |
| 客服 | Chatbot | 30-50% cost reduction | Medium |
Peer comparison:
| Company | Digital Investment (% rev) | Key AI Initiatives | Maturity |
|---|---|---|---|
| Target | [X%] | [Description] | Level 1-5 |
| Peer 1 | [X%] | [Description] | Level |
| Peer 2 | [X%] | [Description] | Level |
| Industry avg | [X%] | Level |
Phased approach:
Phase 1: Foundation (0-6 months)
Phase 2: Pilot (6-18 months)
Phase 3: Scale (18-36 months)
For PE investors:
| Scenario | Implication |
|---|---|
| High readiness | Accelerate with AI investment; value creation potential |
| Medium readiness | 1-2 year improvement path; build data foundation |
| Low readiness | Significant gap; may limit exit multiple expansion |
| No readiness | Strategic question: can this company compete long-term? |
Value creation through AI:
| Layer | Key Players / Technologies |
|---|---|
| Foundation models | 百度文心, 阿里通义, 讯飞星火, 智谱 |
| Computer vision | 商汤, 旷视, 依图 |
| NLP | 百度, 科大讯飞 |
| Industry AI | 海康, 大华 (vision), 格灵深瞳 |
| Cloud AI | 阿里云, 腾讯云, 华为云, 百度智能云 |
| Industry | AI Readiness | Key Applications |
|---|---|---|
| 制造业 | Medium-High | Quality control, predictive maintenance |
| 零售 | Medium | Customer analytics, recommendation |
| 金融 | High | Risk scoring, fraud detection |
| 医疗 | Medium | Imaging, drug discovery |
| 物流 | Medium-High | Route optimization, warehouse |
| 农业 | Low-Medium | Precision agriculture |
Before delivering:
Data Source Mode Switch: Set env var
IFIND_DATA_SOURCE_MODEto control data source preference.
ifind-only(strict): Use iFind only, error if unavailableifind-fallback(default): iFind preferred, fallback to AkShareakshare-only, wind-only (Wind only), wind-fallback (Wind first, fallback to iFind → AkShare): Skip iFind, use AkShare only
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Three-statement financial model for A-share stocks. Adapts the standard 3-statement-model methodology for Chinese accounting standards (CAS), Chinese GAAP differences, and AkShare-sourced financials. Use instead of the original 3-statement-model skill when building integrated IS/BS/CF models for Chinese listed companies.
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Build accrual schedules for A-share fund administration. Tracks revenue recognition, expense accruals, and working capital timing for fund accounting. Adapted from the original accrual-schedule skill for fund accounting standards. Triggers on "基金应计项目", "应计计提基金", "accrual schedule fund", "NAV accruals", or "accruals [fund]".
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Build accrual schedules for A-share companies tracking revenue recognition, expense accruals, and working capital timing. Adapted from the original accrual-schedule skill for CAS accounting and Chinese business practices. Triggers on "A股应计项目", "应计计提", "accrual schedule China", "应计账款分析", or "working capital accruals [company]".
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Audit financial models and Excel workbooks for A-share analysis. Adapts the original audit-xls skill for Chinese financial modeling standards, CAS conventions, and A-share-specific checks. Triggers on "A股模型审计", "财务模型核查", "audit model China", "audit xlsx", "模型QC", or "check model [company]".
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Forensic financial analysis for A-share fund holdings and portfolio companies. Adapts the original break-trace skill for fund administration context and Chinese market standards. Triggers on "基金持仓核查", "持仓异常", "forensic fund analysis China", "持仓质量分析", or "investigate [fund] holdings".
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Forensic financial analysis for A-share companies. Identifies discrepancies, potential irregularities, and earnings quality issues in Chinese financial statements. Adapted from the original break-trace skill for CAS accounting and Chinese market red flags. Triggers on "A股财务核查", "财务异常", "forensic analysis China", "财务舞弊", "earnings quality China", or "investigate [company] financials".
The English summary is being prepared. Showing the original description.