Driving collaboration in the age of AI

Identifying AI-related friction points

• Understand that AI does not invent new problems, but often amplifies what is already fragile within the team: coordination, validation, workload distribution, and trust
• Use an online questionnaire to identify the main friction points observed in your team
• Diagnose the pain points experienced in your work context in order to identify what should be prioritized first for clearer guidelines

Preventing AI-driven work intensification

• Recognize how AI can speed up the pace of work and create new implicit expectations within the team
• Identify the emerging psychosocial risks associated with unstructured AI use: implicit work expansion, constant multitasking, accelerated expectations, cognitive fatigue, ambiguity, and isolation
• Try out collective practices to protect the team’s workload and pace

Turning friction into clear AI guidelines

• Understand the characteristics of an effective guideline: clear, observable, collective, and actionable
• Formulate simple guidelines based on the friction points experienced by the team, using a concrete structure
• Develop guideline proposals around key issues such as transparency, validation, responsibilities, workload, and data confidentiality

Bringing the AI team charter to life in day-to-day work

• Understand that a team charter only has impact if it is reinforced at the right time, supported by a routine, measured simply, and adjusted after testing
• Put concrete reinforcement mechanisms in place
• Learn how to address gaps from a guideline without attacking people