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AI delivers the best results when you ask with clarity and context.
These prompt templates show how to guide AI for data mapping, dataset selection, scenario generation, and result interpretation — so every suggestion stays transparent, auditable, and defensible.
Sustainly’s transparent AI copilot is designed to respond to structured, context-rich prompts — giving sustainability teams consistent, explainable results they can trust.

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Ground Rules for Effective Prompts

To get reliable outcomes, include clear parameters and expectations in every request:
  • Always specify your functional unit, system boundary, geography, and reference year.
  • Ask AI to list its assumptions and alternatives.
  • Request checks for units, regional fit, and missing stages.
  • Keep prompts concise but rich in context — short, vague prompts lead to generic or incomplete outputs.
💡 Tip: Treat AI like a junior analyst — clear instructions and structure yield better results.

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Mapping Prompts (Copy-Ready)

Use these when preparing or harmonizing datasets:
  • “Map these columns to LCA flows. FU: 1 product unit. Boundary: cradle-to-gate. Region: EU. Flag any unit conflicts. Columns: [paste table].”
  • “Suggest the top 3 background datasets for ‘EU steel 18/8, 2024’; explain why they fit regionally and technologically.”
  • “Review supplier material names and map them to canonical flow terms; flag uncertainties or missing units.”
These patterns help AI standardize data while keeping mappings traceable.

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Scenario Prompts

Use structured prompts to explore design or logistics changes:
  • “Clone baseline and create three scenarios: (A) +70% recycled steel, (B) truck→train 200 km, (C) product lifetime +5 years. Describe expected impact direction and rationale.”
  • “Model substitution scenario: replace plastic A with bio-based plastic B (same mass). Estimate qualitative change in GWP and resource use.”
  • “Compare 2024 vs 2030 scenario using decarbonized electricity mix; highlight top differences.”
AI can instantly replicate scenarios, but you remain in control of validation and interpretation.

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Interpretation Prompts

Turn raw data into clear communication:
  • “Summarize hotspots contributing >80% of climate impact; list two improvement levers with estimated reduction potential; include a short uncertainty note (max 120 words).”
  • “Write an executive summary explaining how transportation and packaging drive results, using non-technical language.”
  • “Create a short paragraph linking hotspot findings to business decisions (procurement, design, or logistics).”
💬 Sustainly Tip: Use interpretation prompts to generate first drafts for stakeholder communication — always review for accuracy before sharing externally.

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QA / Consistency Prompts

Ensure data quality and completeness before running the model:
  • “Check if any life cycle stage is missing versus cradle-to-grave; propose data sources for identified gaps.”
  • “Verify unit consistency (kg/km/kWh); suggest fixes for non-SI inputs.”
  • “Scan for double-counted flows or duplicate processes and recommend corrections.”
  • “List processes with missing regional tags or outdated reference years.”
These checks prevent small data errors from compounding into large interpretation issues.

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In Sustainly

With Sustainly, you don’t need to copy prompts manually — the platform embeds these capabilities into your workflow.
AI-assisted mapping, built-in consistency checks, and model Q&A features let you ask natural questions like:
  • “What drives most of this impact?”
  • “Which dataset is causing the largest uncertainty?”
  • “How would a recycled material scenario change this result?”
All within a transparent, traceable interface that keeps human experts in control.

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FAQ

Can prompts replace expert review?
No — they accelerate your work, but professional verification remains essential. What if AI suggests the wrong dataset?
Always check the regional and technological fit before approving. Can I save prompts for future use?
Yes — in Sustainly, you can store prompt templates as project notes or team runbooks.

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Why Use Sustainly

Sustainly integrates transparent AI, prompt-based collaboration, and centralized sustainability data in one scalable system.
It’s designed for experts and newcomers alike — helping you apply AI responsibly and confidently.
  • Built-in AI copilot for mapping, validation, and interpretation
  • Centralized data hub for reuse across teams and projects
  • Scalable, auditable workflows with clear human oversight
  • Fast to learn, easy to adopt, and cost-effective for organizations of any size
Sustainly turns AI into a structured, transparent partner — helping sustainability professionals move from manual work to intelligent, data-driven insight.
If you’re looking for a
software to measure product sustainability,
tool to calculate environmental impact of products, or
sustainability analysis software for production processes, → Start with Sustainly and get the clarity and control you need to make AI work for sustainability.