Getting Productive with AI

Most organisations have adopted AI tools, yet fewer than 40% report meaningful productivity gains. The gap between adoption and genuine improvement is widening.​

This practical session moves beyond individual task assistance to equip you with the skills to redesign entire workflows with AI. You will learn to distinguish between task-level and process-level AI use, evaluate where human oversight should sit, and design multi-step AI workflows for realistic scenarios. By the end, you will have a concrete 7-day action plan to transform how work flows through your team.

• Distinguish between task-level AI and process-level agentic AI workflows​
• Evaluate where human oversight should sit using the Human-in-the-Loop Continuum​ 
• Design a multi-step AI workflow for a realistic workplace scenario​
• Commit to actions supported by tools that will drive productivity gains 

• The Uncomfortable Truth: why AI adoption fails to deliver real gains​
• Three Productivity Traps: Automation Tax, Productivity Theatre, Acceleration Trap​
• The Agentic Shift: from Copilot to Autopilot (three levels of AI use)​ 
• The Human-in-the-Loop Continuum: In, On, Over, and Out​ 
• Case study: scaling AI workflows and diagnosing failure points​ 
• Workflow Design Sprint: multi-step AI workflows with human checkpoints​ 
• Tensions, trade-offs, and three design rules for productive automation​ 
• Slope vs Hockey Stick: redesigning work for exponential gains​ 
• 7-Day Commitment: a practical action plan with peer accountability