AI Board Advisory System: Information Requirements Checklist

1. Company Profile and Organizational Structure

Basic Company Information

• Annual revenue (last 3 years)
• Number of employees (total and by function)
• Geographic presence (countries, regions, facilities)
• Business segments and product lines
• Market position and competitive ranking
• Ownership structure (public, private, family-owned)

Organizational Structure

• Current board composition and meeting frequency
• Executive leadership structure
• Reporting relationships and decision-making hierarchy
• Regional/divisional organization
• Current strategic planning processes
• Board committee structure (audit, compensation, etc.)

2. Current Technology Infrastructure

IT Systems Landscape

• ERP system details (vendor, version, modules)
• Cloud infrastructure (AWS, Azure, Google Cloud, on-premise)
• Data warehouse/lake architecture
• Business intelligence and analytics platforms
• API management and integration capabilities
• Cybersecurity framework and protocols

Data Management Capabilities

• Master data management systems
• Data governance policies and procedures
• ETL/data pipeline infrastructure
• Real-time data processing capabilities
• Data quality assessment tools
• Backup and disaster recovery systems

3. Financial Systems and Data

Core Financial Systems

• General ledger system
• Accounts payable/receivable systems
• Financial planning and budgeting tools
• Management reporting platforms
• Cost accounting systems
• Treasury management systems

Financial Data Availability

• Historical financial statements (5+ years)
• Monthly/quarterly management reports
• Budget vs. actual reporting
• Cash flow statements and forecasts
• Capital expenditure tracking
• Working capital management data
• Financial KPIs and metrics
• Regulatory reporting requirements

4. Human Resources Systems and Data

HR Technology Stack

• HRIS platform (vendor, capabilities)
• Payroll system
• Talent management system
• Performance management platform
• Learning management system
• Recruitment and applicant tracking system

HR Data Assets

• Employee demographics and organizational charts
• Compensation and benefits data
• Performance review data
• Training and development records
• Turnover and retention metrics
• Succession planning data
• Employee engagement survey results
• Diversity and inclusion metrics

5. Marketing and Sales Systems

Marketing Technology

• CRM system (Salesforce, Microsoft, other)
• Marketing automation platform
• Customer data platform
• Digital marketing tools (Google Analytics, etc.)
• Social media management tools
• E-commerce platforms

Marketing and Sales Data

• Customer database and segmentation
• Sales pipeline and conversion data
• Marketing campaign performance metrics
• Customer satisfaction and NPS scores
• Market research and competitive intelligence
• Brand awareness and perception studies
• Digital marketing analytics
• Sales territory and channel performance

6. Production and Operations Systems

Manufacturing and Operations Technology

• Manufacturing execution systems (MES)
• Enterprise asset management (EAM)
• Quality management systems
• Supply chain management platforms
• Warehouse management systems
• Maintenance management systems

Production and Operations Data

• Production capacity and utilization data
• Quality control metrics and defect rates
• Supply chain performance data
• Inventory levels and turnover
• Equipment performance and maintenance records
• Energy consumption and sustainability metrics
• Safety incident and compliance data
• Vendor performance scorecards

7. Industry-Specific Requirements (Paints/Coatings)

Regulatory and Compliance

• Environmental compliance systems and data
• Safety data sheets and regulatory documentation
• Quality certifications and standards compliance
• Product registration and approval tracking
• Sustainability reporting requirements
• Chemical inventory management systems

Industry-Specific Data

• Raw material pricing and availability data
• Formulation and R&D systems
• Product lifecycle management data
• Seasonal demand patterns
• Color matching and specification systems
• Technical service and support data

8. Data Quality and Governance

Data Assessment

• Data quality metrics and assessment results
• Data standardization levels across systems
• Data integration complexity assessment
• Master data consistency evaluation
• Historical data availability and accuracy
• Real-time vs. batch data processing needs

Governance Framework

• Data governance policies and procedures
• Data privacy and protection protocols
• Access controls and security measures
• Data retention and archival policies
• Audit trail and compliance requirements
• Data stewardship roles and responsibilities

9. Current Analytics and Reporting

Existing Analytics Capabilities

• Business intelligence tools and dashboards
• Advanced analytics or AI initiatives
• Data science team and capabilities
• Statistical analysis tools
• Predictive modeling experience
• Machine learning implementations

Reporting Structure

• Board reporting templates and frequency
• Executive dashboard requirements
• KPI frameworks and scorecards
• Regulatory reporting obligations
• Management reporting cycles
• External stakeholder reporting needs

10. Strategic Context and Requirements

Business Strategy

• Strategic plan and objectives
• Key performance indicators and targets
• Growth strategy and market expansion plans
• Digital transformation initiatives
• Innovation and R&D priorities
• Sustainability and ESG goals

Decision-Making Requirements

• Current board decision-making processes
• Information needs for strategic decisions
• Risk management framework
• Performance monitoring requirements
• Competitive intelligence needs
• Market analysis and forecasting requirements

11. Implementation Considerations

Project Scope and Approach

• Preferred implementation timeline
• Budget range and approval process
• Phased vs. comprehensive implementation preference
• Integration requirements with existing systems
• Change management and training needs
• Success metrics and evaluation criteria

Organizational Readiness

• Executive sponsorship and commitment level
• Technical team availability and capabilities
• Change management experience
• Previous AI/analytics project experience
• Risk tolerance and innovation appetite
• Vendor management preferences

12. Competitive and Market Context

Market Intelligence

• Competitive landscape analysis
• Market share and positioning data
• Industry benchmarking data
• Customer and supplier concentration
• Market trends and growth projections
• Regulatory and industry developments

Performance Benchmarks

• Industry KPIs and benchmarks
• Peer company comparison data
• Best-in-class performance standards
• Market valuation and financial metrics
• Operational efficiency benchmarks
• Innovation and R&D benchmarks