You know your sustainability work, now you want to work smarter. This course is about how to use AI as structured support in your daily work to produce analyses and decision support, review communication and prioritise sustainability initiatives. During the course you build an AI agent for horizon scanning and learn to integrate AI into your work processes in a way that saves time and raises the quality of your sustainability work.
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You know your sustainability work, now you want to work smarter. This course is about how to use AI as structured support in your daily work to produce analyses and decision support, review communication and prioritise sustainability initiatives. During the course you build an AI agent for horizon scanning and learn to integrate AI into your work processes in a way that saves time and raises the quality of your sustainability work.
COURSE OBJECTIVES: As a participant you will gain: - Skills in creating AI agents and superprompts for horizon scanning, analysis, prioritisation and decision support - Knowledge of how to ensure quality and security when using AI - A concrete way of working that suits your role and an action plan for integrating AI into your daily work - Ready-made templates, prompts and an AI agent to take home To get the most out of the course you need a paid ChatGPT or Copilot account. Booked participants receive more information in the joining instructions one week before the course starts.
- Where AI creates value in the role of sustainability manager - How AI can automate the repetitive tasks and support the complex ones - Strengths, limitations and risks of AI: quality, bias and greenwashing - Policy and security: what you can enter and how to anonymise - Exercise: Test a prioritisation prompt on your own case
In this session we go through how to create a superprompt, that is, a comprehensive, structured instruction in which the AI is given a clear role, context, constraints and step-by-step instructions. - How to create a prompt that works for complex analyses, for example scenario analyses and decision support - Introduction to the SuperPrompt Lab tool used during the course - A routine for ensuring quality: sources, assumptions and control questions - Workshop: Create a superprompt for decision support and scenario analysis
You will learn to create an AI agent for horizon scanning, but the method for creating an agent can also be used for, for example, policy analysis and internal audit. - What is an AI agent? GPT vs Copilot - Step by step: Define purpose, scope and data sources - Workshop: Build the basic structure of your horizon scanning agent - Choose what to monitor: regulations, trends and stakeholders - Formulate instructions and desired output
- Refine and test the agent with questions sustainability managers face in their daily work - How to add quality assurance functions - Workshop: Test and give feedback on each other's agents - Fine-tuning based on insights
- Reviewing external communication: a greenwashing check - Prioritising sustainability initiatives based on business value and feasibility - Change management: messages and audience adaptation - Workshop: Create a superprompt for an area of your choice
- Design your AI way of working: what does AI do, what do you review? - Reflection: What can you start doing differently? - Discussion: Share insights and plan your next steps - Create a concrete 30-day action plan for integrating AI into your daily work
You who are a sustainability manager or responsible for sustainability and want to move from ad hoc use of AI to structured, quality-assured ways of working. You have a good understanding of sustainability issues and now want to free up time and raise quality with smart tools.
When you complete the course, Bonnier Akademi issues your certificate. Your name, the course content and the issue date are encrypted and secured on blockchain, so it cannot be changed, and anyone can check that it is genuine.
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