AI x Impact: Reconciling performance and sustainability
Artificial intelligence is often presented as a driver of performance.
Yet, when approached differently, it also becomes a lever for environmental and social impact that can support a more responsible transformation. In other words, it is possible to aim for performance without sacrificing sustainability. On the contrary, both can grow together.
Key points of the study:
- 10 AI use cases selected and analyzed for their business and ESG impact.
- A 5-level maturity framework to assess your situation and prioritize initiatives.
- Concrete feedback to accelerate implementation and avoid common pitfalls.
The IA × Impact white paper shows how AI can truly increase an organization’s performance while fully integrating sustainability objectives. It reinforces the idea that focusing solely on speed or efficiency means overlooking an essential part of what AI can deliver. When properly designed, it becomes an accelerator for the transition toward more efficient, resilient, and responsible business models, economically, socially, and environmentally.
The study presents ten use cases analyzed for their impact on both business outcomes and ESG commitments. They come from a variety of industries, offering a perspective on how AI integrates into very different realities. In hospitality, fashion and luxury, the public sector, energy, or manufacturing, it is already emerging as an essential lever to transform operations.
The 2025 reality
In a context where AI adoption is accelerating, organizations have everything to gain by establishing a common language around responsible AI, from the executive committee to IT, data, and ESG teams. The IA × Impact white paper offers a clear and structured vision to better prioritize AI investments and secure execution, from planning to industrialization, with ready-to-use tools and checklists.
It also provides a foundation of indicators to monitor performance and the real impact of AI initiatives over time, enabling teams to measure what matters and continuously adjust their approach. It encourages organizations to integrate AI in a way that reconciles performance and sustainability, creates shared value with stakeholders, and builds more resilient business models for the future.
By combining strategy, technology, and ESG, this white paper helps decision-makers select the right AI use cases, structure governance, and prove value based on financial and non-financial criteria.
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