Synthetic Workforce Data – A New Model for Change Management
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AI-powered workforce twins to anticipate employee reactions and risks
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What do you want to learn about?
This session explores
- How synthetic workforce data is created and governed responsibly.
- Applications of predictive models to anticipate employee concerns.
- Examples of policy changes shaped by simulated employee reactions.
- Designing AI tools for adoption by HR, comms and business leaders.
Why this matters
Large organisations must deliver constant change – from hybrid work to job architecture redesign – but leaders often lack foresight into employee reactions. Failed rollouts waste time, cost, and credibility. Synthetic data models offer a way to road-test policy changes safely, helping HR mitigate risks and build trust while accelerating adoption.