Developing a sustainability action plan

Instruction and application

Complete

High-level slogans do not change emissions. A sustainability action plan turns goals into SMART outcomes, metrics, operating practices, governance and stakeholder communications.

SMART goals (examples)

• Specific: reduce training CO₂e for flagship models by focusing on region mix and architecture choices.
• Measurable: track kWh per training job and CO₂e estimates monthly.
• Achievable: pilot on one product line before enterprise rollout.
• Relevant: aligns with corporate net-zero commitments.
• Time-bound: deliver first baseline report in one quarter, 10% intensity reduction in two quarters.

Metrics and operational strategies

Track energy,carbon,fairness audit outcomes,latency per cost unit anddata storage efficiency. Operationally: reduce redundant retrains, adopt autoscaling, follow Green Software Foundation practices, and keep datasets minimal but well versioned.

Governance

Stand up an AI ethics or sustainability committee, assign asustainability owner paired with engineering and compliance leads, and publish how decisions are escalated.

Stakeholder engagement

Employees need training; customers need transparent reporting; investors and regulators need consistent metrics; external groups such as GSF or RAI Institute provide benchmarks.

Case study snapshot: EnerSys and GenAI for ESG

EnerSys used generative AI to consolidate ESG data, accelerate reporting and spot operational improvements—see the Thomson Reuters ESG case study. Themes: break data silos, automate draft reporting, highlight optimisation opportunities, strengthen supplier visibility.

Pause and think

Which two metrics would you put on an executive dashboard first for AI sustainability in your organisation?

Action item: Quiz

EnerSys leveraged GenAI for various aspects of its sustainability action plan. If your organisation were to adopt a similar approach, which of the following would likely be the MOST significant initial benefit of using GenAI in your sustainability efforts?

A) An immediate increase in positive public perception due to AI-driven sustainability communication.B) A substantial reduction in operational costs through AI-identified efficiency improvements in manufacturing processes.C) A more comprehensive and efficient understanding of the organisation's current ESG performance through automated data aggregation and analysis.D) The automatic generation of a complete and compliant sustainability report, ready for submission to regulatory bodies.

Imagine you are a sustainability manager at a multinational manufacturing company, similar to EnerSys. You want to use AI to improve your supply chain sustainability. Which of the following applications of AI would be the MOST relevant first step in achieving this goal?

A) Using AI-powered chatbots to train suppliers on the company's sustainability policies.B) Employing GenAI to create marketing materials showcasing the company's commitment to ethical sourcing.C) Utilising AI to analyse supplier data (e.g. emissions reports, labour practices, certifications) and identify high-risk areas or suppliers requiring engagement.D) Implementing AI-driven sensors at supplier facilities to monitor their environmental impact in real time.

EnerSys used GenAI to enhance stakeholder communication regarding its sustainability efforts. In your role, how could you MOST effectively leverage a similar AI capability to improve transparency and engagement with your stakeholders?

A) By using GenAI to create highly technical reports detailing all environmental impact assessments.B) By employing GenAI to automatically respond to all stakeholder inquiries about sustainability, regardless of complexity.C) By utilising GenAI to analyse stakeholder communication preferences and generate tailored summaries and reports of sustainability performance and initiatives for different groups (e.g. investors, customers, employees).D) By using GenAI to create visually appealing dashboards showcasing only positive sustainability metrics to maintain a favorable image.

In progress