Tooling Tuesday, Hosted by HappySignals
The human side of AI: Using Experience Intelligence to turn AI adoption into real outcomes
AI is changing how work is done and the changing the experience at work for employees. Despite no shortage of data generated by AI systems, IT leaders still struggle to know if end-users do better work that has an impact.
Our research shows a gap still exists in understanding humans, just like with every previous technology leap. We want to bridge that gap. This is where the X in XLAs comes in.
In this session, HappySignals takes you through a year of platform enhancements and our move from IT Experience Management to Experience Intelligence. We’ll look at how understanding the impact of AI on employees can inform decisions, how to measure it, and how our platform has chosen to harness AI to help teams get from insight to action faster.
What you’ll learn
- Measuring what technology change means for people: A year of enhancements built to capture the impact of new tools on employees, so you’re never a step behind adoption.
- Why the human impact of AI matters: Usage data tracks adoption. Experience data shows impact. Why AI rollouts so often stall on people rather than technology.
- How to measure AI’s impact on employees: Tracking AI usage, skills, attitudes and perceived productivity by role, team and location, and seeing how they change after training or policy changes.
- Conversational AI in practice: How Ask lets teams query experience data in plain language, find themes in open-text feedback and produce executive-ready summaries, so insight becomes action.
Who should attend
This session is for anyone responsible for employee experience, XLAs or AI adoption, including:
- XLA practitioners and programme owners
- Digital workplace and employee experience leaders
- IT service management and IT operations teams
- Leaders responsible for analytics, AI adoption and transformation
Come with your questions. We’ll leave time to discuss how your organisation can understand and improve the human impact of AI.
