Organizations need more than AI policies — they need training that helps employees develop genuine understanding of AI dependency, assess their own patterns, and build sustainable habits. Here is a complete training framework.
Session 1: Understanding AI dependency (60 minutes)
Cover the psychology of AI engagement: variable reinforcement, cognitive offloading, and the competence illusion. Use real-world examples relevant to your industry. Include interactive polling to gauge current usage patterns. The goal is creating awareness without judgment — people can't change what they don't see.
Session 2: Personal assessment (45 minutes)
Guide participants through structured self-assessment: mapping their AI use, identifying triggers, and evaluating which uses are genuinely productive vs. habitual. Provide frameworks for categorizing use (essential, helpful, habitual, compulsive) and let participants privately categorize their own patterns.
Session 3: Practical strategies (60 minutes)
Teach concrete techniques: the "draft first" rule, environmental friction design, AI-free time blocks, and the purpose-based approach. Have participants develop personal AI use plans with specific boundaries. Include peer accountability structures for follow-through.
Follow-up: Sustained change (ongoing)
Schedule brief follow-up sessions at two weeks and six weeks. Track progress using simple metrics. Celebrate successes and problem-solve challenges. Provide ongoing resources and support channels. Sustainable behavior change requires sustained attention — a one-time training without follow-up rarely produces lasting results.
Support your training with data. Our awareness platform provides pre- and post-training reflection tools.