Artificial intelligence is now ubiquitous in modern organizations, with many employees using it without fully mastering best practices. The consequences are significant: inefficient queries, imprecise responses, and invisible energy and resource waste.
As businesses seek to reduce their environmental footprint while optimizing costs, prompt engineering emerges as an effective solution. This approach not only improves the quality of AI-generated responses, but also significantly reduces their energy and financial impact.
Discover how optimizing your AI queries can become a strategic lever for your organization.
Reduce the environmental impact and costs of your AI queries
Every AI model query consumes energy. The longer or more poorly structured the prompt, the higher its carbon footprint and cost. A clear, optimized prompt reduces the computational load, leading to tangible savings.
According to data published by Google in 2025, a median text query consumes approximately 0.24 Wh, equivalent to 0.03 gCO₂e based on the average European electricity mix (≈ 0.24 kgCO₂/kWh). For a company processing 10,000 queries per month (120,000 per year), this amounts to roughly 7 kg of CO₂ annually. Just optimizing prompt size by 40% could save nearly 3 kg of CO₂/year, while also reducing operational costs tied to cloud infrastructure.
Other studies, such as Alex de Vries’ research (2023), highlight that this impact can be much higher depending on the model and prompt complexity, reinforcing the need for a more sustainable approach.
Avoid AI errors: structure your prompts for greater reliability
AI “hallucinations” are confident but incorrect responses, wich pose a major challenge for businesses. Vague or poorly structured prompts increase this risk, while contextualized, well-framed prompts significantly improve result reliability.
A 2025 study published in the National Library of Medicine shows that retrieval-augmented generation (RAG) systems reduce hallucinations from 40% to less than 5% when prompts are well-structured. For example, a prompt like “According to WHO data, list the top 3 causes of air pollution in Europe in 2024” yields far more reliable responses than a simple “What are the causes of air pollution?”.
In highly regulated sectors like banking or healthcare, where precision is critical, this approach minimizes error risks.
Prompt engineering: a human skill above all
Prompt engineering is not just about techniques, it’s a human skill: clarifying needs, organizing thoughts, and translating requirements into concise instructions for AI.
Companies that train their teams in this skill observe potential annual productivity gains ranging from 0.2% to 3.3%.
Train your teams in prompt engineering: methods and tangible results
How can you raise awareness among teams about this new skill? Pedagogy is key. Practical workshops, where participants learn to rephrase prompts and compare results, are often more effective than theoretical courses.
Training teams in prompt engineering reduces the average query size while improving precision. This translates into time and resource savings, as well as higher-quality AI outputs.
These training sessions help employees adopt a more structured approach, using simple frameworks like context + task + format, making it easier to integrate best practices into daily workflows.
Toward a responsible corporate culture with prompt engineering
In the long term, mastering prompt engineering will no longer be a luxury but a core skill, akin to proficiency in office software. For sectors like banking, healthcare, or luxury where compliance and precision are paramount, this skill becomes a cornerstone of responsible digital transformation.
Companies adopting this approach gain a dual benefit:
- Operational efficiency: less time wasted correcting inaccurate responses.
- Reduced digital footprint: less energy waste and unnecessary costs.
At Fruggr, we support organizations in this transition, providing the tools and methodologies needed to sustainably integrate these practices.
Conclusion: prompt engineering, a tool for sustainable and high-performance digital practices
Prompt engineering is not a discipline reserved for experts, it’s an accessible tool to align technology with real needs. By learning to prompt in a sober and effective manner, companies become responsible digital actors, reducing energy waste and improving the reliability of their tools.
At Fruggr, we believe this skill should be accessible to all employees. Our resources and methodologies help businesses integrate these best practices for a high-performance, sustainable, and responsible digital ecosystem.
