AI at Work: Beyond the Tools
The Human Side of Smarter AI Adoption
Thinkwell is pleased to offer a five part practical learning series to reduce risk, protect employee wellbeing, and make AI adoption more sustainable.
AI is already changing work. Are you leading that change?
Most AI training focuses on tools and prompts. The harder questions are human ones. Is AI making work more sustainable, or more intense? Can your people safely raise concerns? Do your teams know when to trust AI and when to push back? Are roles being redesigned on purpose, or by accident?
This virtual series helps teams grappling with AI adoption treat it as the work design and culture challenge it actually is, not just a technology rollout.
Five 60-Minute Interactive Sessions
July 29: AI, Burnout, and Sustainable Work Design Understand how AI shifts the shape and demands of work. Learn to prevent productivity gains from becoming workload intensification.
August 5: Psychological Safety in the AI Workplace Learn why people stay silent about AI confusion, errors, and concerns. Discover what leaders can do to build the conditions for honest AI adoption.
August 12: Trust, Judgment, and Review Fatigue Build skills to calibrate trust in AI outputs. Avoid overtrust and undertrust alike, and manage the verification burden that AI-generated work creates.
August 19: AI and Job Design Map how AI is reshaping tasks inside roles and move from accidental job redesign to intentional work design.
August 26: Measuring the Human Impact of AI Go beyond usage dashboards. Learn to measure whether AI is actually making work better for the people doing it.
Who This Is For
Leaders, managers, HR and People teams, and AI implementation leads who want to get AI adoption right for the organization and for the people inside it.
Learning Outcomes
Participants will leave better equipped to:
Recognize how AI can affect workload, burnout risk, and sustainable productivity
Use AI in ways that improve work without simply increasing pace, volume, or review burden
Build team norms that make AI use, questions, mistakes, and concerns safer to discuss
Understand that AI does not remove human judgment — it concentrates it — and apply the right level of review to AI-generated work
Move from accidental AI-driven job redesign to more intentional role and workflow design as tasks change
Measure the human impact of AI beyond adoption, prompts, and usage
About the Facilitator
Lianne Sarson is VP of Research at Thinkwell and has spent 18 years helping organizations understand people, work, change, and decision-making through applied research and consulting. With a Master of Science in Industrial/Organizational Psychology, Lianne brings a workplace-behaviour lens to AI adoption — focusing not on tools alone, but on how people learn, trust, resist, adapt, make mistakes, and experience changes in workload, roles, culture, and expectations.