{{company_name}}
Company Name
Example: Example: Terra Industrial Solutions
Enter the company being evaluated.
Ready to Use
Complete Prompt
This prompt has variables that can be replaced with your own information. Copy and use it with your preferred LLM, or try it out in the LearnerBox Prompt Playground.
Act as a senior investment research analyst specializing in financially material ESG integration.
Evaluate the company’s material sustainability risks and opportunities using the information provided below.
Company:
{{company_name}}
Industry and geographies:
{{industry_geographies}}
Sustainability disclosures and data:
{{sustainability_data}}
Financial and operating information:
{{financial_operating_data}}
Regulatory and stakeholder context:
{{regulatory_stakeholder_context}}
Materiality framework and benchmarks:
{{materiality_framework}}
Analysis requirements:
1. Define financial materiality for the company and industry.
2. Identify relevant environmental issues, including:
- emissions;
- energy;
- water;
- waste;
- biodiversity;
- pollution;
- physical climate risk;
- transition risk;
- product lifecycle; and
- resource dependence.
3. Identify relevant social issues, including:
- labor;
- health and safety;
- human rights;
- supply chain;
- customer welfare;
- privacy;
- product quality;
- community impact; and
- talent.
4. Identify governance issues, including:
- board oversight;
- incentives;
- ethics;
- controls;
- lobbying;
- tax;
- related parties;
- disclosure;
- cyber;
- data governance; and
- accountability.
5. Distinguish:
- financially material;
- potentially material;
- immaterial;
- unverified; and
- missing.
6. Map every material issue to:
- revenue;
- pricing;
- cost;
- capital expenditure;
- working capital;
- liabilities;
- financing;
- asset values;
- growth;
- margin;
- cash flow; and
- valuation.
7. Assess management targets, governance, capital allocation, progress, and credibility.
8. Review data quality, assurance, methodology, boundaries, estimates, and comparability.
9. Identify greenwashing or impact-washing risk only as a disclosure-risk indicator, not as a finding without evidence.
10. Develop base, transition, and adverse scenarios.
11. Identify sector-specific opportunities and competitive advantages.
12. Assess whether sustainability issues are reflected in valuation assumptions.
13. Do not invent emissions, targets, regulatory rules, controversies, benchmarks, or impact claims.
14. Distinguish financial materiality from broader societal impact.
15. Do not provide legal, regulatory, or assurance conclusions.
Present the result as:
{{output_format}}
Include:
- materiality map;
- environmental assessment;
- social assessment;
- governance assessment;
- financial transmission map;
- data-quality review;
- target and transition-plan credibility;
- scenario analysis;
- sustainability opportunities;
- valuation implications;
- key controversies and gaps;
- monitoring indicators; and
- investment implications.Customization Variables
Replace each variable shown in double curly brackets with accurate information from your own professional context.
{{industry_geographies}}
Industry and Geographies
Example: Describe sectors, products, operations, supply chains, customers, and countries.
Material ESG issues vary by sector and location.
{{sustainability_data}}
Sustainability Disclosures and Data
Example: Provide emissions, energy, water, safety, workforce, supply-chain, governance, targets, and methodologies.
Label estimates, assured data, and company-reported data separately.
{{financial_operating_data}}
Financial and Operating Information
Example: Provide revenue, margins, capex, assets, liabilities, supply dependence, and business-segment data.
Financial data is needed to connect sustainability issues to value.
{{regulatory_stakeholder_context}}
Regulatory and Stakeholder Context
Example: Provide relevant regulations, litigation, customer requirements, investor expectations, and community issues.
Use current and authoritative sources.
{{materiality_framework}}
Materiality Framework and Benchmarks
Example: Provide approved sector frameworks, peer data, internal thresholds, and benchmark definitions.
Use consistent frameworks and avoid mixing incompatible metrics.
{{output_format}}
Output Format
Choose the format required for research, governance, or scenario review.
Expected Output
A financially grounded ESG integration analysis containing materiality, environmental, social, governance, transmission, data quality, target credibility, scenarios, opportunities, valuation effects, and monitoring indicators.
💡 Important:
The quality of the result depends on the
completeness, accuracy, and relevance of the
information supplied to the AI.
Prompt Characteristics
These characteristics describe the type of thinking, customization, and output structure involved in using this prompt effectively.
Prompt Anatomy
This breakdown explains how the prompt’s major components work together to guide the AI toward a useful, reliable, and well-structured response.
Role
Positions the AI as an investment-research specialist in material ESG integration.
Context
Combines sustainability, financial, operating, regulatory, stakeholder, and benchmark data.
Task
Requires materiality, transmission, scenario, credibility, and valuation analysis.
Constraints
Prevents invented data, targets, rules, controversies, benchmarks, and assurance conclusions.
Output Structure
Requires materiality, E-S-G analysis, financial links, scenarios, opportunities, gaps, and implications.
Input Variables
Company, industry, sustainability data, financial data, context, frameworks, and output format.
Customization Tips
- Focus on financially material issues rather than generic ESG checklists.
- Connect each issue to revenue, cost, capital, cash flow, or valuation.
- Review methodology, boundaries, estimates, and assurance status.
- Separate company claims from independently verified evidence.
- Distinguish financial materiality from broader societal impact.
Responsible Professional Use
Review Before Applying the Output
AI-generated responses can contain errors, omissions, unsupported assumptions, outdated information, or recommendations that do not reflect your jurisdiction or professional context.
Verify calculations, evidence, regulations, standards, policies, and professional recommendations before relying on the result. The qualified professional remains responsible for the final decision.