AI for ESG, Sustainability Data and Reporting
A practical programme for using artificial intelligence to improve ESG research, data quality, evidence review, reporting workflows and management insight while controlling hallucination, confidentiality, bias, greenwashing and accountability risks.
Apply now ↗Request in-house deliveryLearning designed for immediate organisational application.
A practical programme for using artificial intelligence to improve ESG research, data quality, evidence review, reporting workflows and management insight while controlling hallucination, confidentiality, bias, greenwashing and accountability risks.
Designed for the people responsible for delivery.
- Sustainability and reporting teams
- ESG data owners and analysts
- Risk, compliance, audit and technology professionals
- Consultants and business transformation leaders
What the programme covers.
- AI fundamentals and high-value sustainability use cases
- Prompting, document analysis and research workflows
- ESG data extraction, classification, validation and exception detection
- AI-assisted narrative, framework mapping and report quality
- Responsible AI, privacy, bias, human review and governance
- Designing an AI-enabled ESG operating model and pilot
What participants will be able to do.
- Identify safe, valuable AI use cases
- Design human-controlled AI workflows
- Improve ESG data and reporting productivity
- Create responsible-AI controls for sustainability work
Practical take-away tools.
- ESG AI use-case canvas
- Responsible-AI risk-control checklist
- Prompt and review library
- 90-day pilot roadmap
Technical instruction translated into practical action.
Live demonstrations, guided prompting, document and data labs, risk-control exercises and pilot design.
Secure your place or train your organisation.
Register an individual participant, book a corporate cohort or request a tailored in-house version aligned with your sector and implementation priorities.