Why AI changes the approach
Poorly communicated sustainability efforts backfire: employees get cynical ("greenwashing"), your company loses credibility, talent leaves. AI helps you avoid this by identifying what could go wrong and how to prevent it.
Step-by-step
- 1
Ask AI: "What are common sustainability engagement failures? How do they happen?"
- 2
Assess your situation: Which risks apply to you? (gap between claims and reality, diversity/justice issues, employee skepticism)
- 3
For each risk, ask: How likely? How bad if it happens?
- 4
Design mitigations: What will you do to prevent this? (transparency, inclusion, measurable progress)
- 5
Create accountability: Who owns preventing each risk? What's the check-in cadence?
Ready-to-use prompts
Adapt to your actual files and context before using.
We're launching a major sustainability initiative. What could go wrong? How do we avoid greenwashing accusations? What mistakes do companies make in employee engagement?
Our employees are skeptical about our sustainability efforts—they say we pollute while preaching values. How do we rebuild trust? What would convince them we're serious?
Output template
Risks identified, trust-rebuilding plan created, accountability set
Related scenarios
Employee Engagement & Culture: Data Analysis
Employees care about working for a sustainable company, but they need to see progress.
People & CultureEmployee Engagement & Culture: Automation
Engaging employees on sustainability manually (emails, in-person events) is slow and reaches only some people.
People & CultureEmployee Engagement & Culture: Stakeholder Engagement
Employees are both internal stakeholders and external ambassadors.
Need this embedded in your team?
I run hands-on workshops that turn these scenarios into your team's default way of working.