Designed IMI's flagship 'Leading the Human-AI Workforce' executive programme.

McKinsey reports two to three people now manage 50–100 AI agents inside a single workflow. Gartner forecasts a 25% reduction in operational costs by 2026 for organisations that redistribute management responsibility to AI. Most AI training teaches tools or stays at the strategy level, neither prepares leaders to scope problems, design hybrid workflows, and lead the result.

Design a leadership programme, not a technical one, that takes mid-to-senior managers from awareness to capability in two days, against IMI's High Impact Transformation 2.0 learning model.

1. 01Designed the programme against IMI's HIT 2.0 framework: Prime, Reframe, Disrupt, Immerse, Experiment, Fuse and Sustain, building a digital worker is the immersive disruption, the capstone is the fuse.
2. 02Structured three levels across two days: Understand (workflow-first thinking + opportunity scoring), Build (three hands-on use cases, decision support, knowledge management, human-AI orchestration), Lead (hybrid workforce design, governance, trust and capstone).
3. 03Authored an opportunity scoring framework so participants score and map digital-worker value across their own functions, HR, ops, finance, marketing, CX and transformation.
4. 04Designed three concrete participant outputs: an Opportunity Map for their function, a Working Digital Worker tied to their role, and a 12-month Hybrid Workforce Plan presented to the cohort.
5. 05Built post-programme continuity, participants retain access to IMI's Digital Lab to keep applying the model on their own problems.
6. 06Targeted at cohorts of 10–20 mid-to-senior managers, sold via HR directors and L&D leaders, delivered open or in-house.

"You cannot effectively lead digital workers without having built one. Just as the best engineering managers have been engineers, the best leaders of hybrid workforces will be those who understand their digital workers from the inside."