Your ATLI is 3.6 (range 3.4 to 3.8) at medium confidence. The profile reads as translation-led: a strong organisational change-leadership capability paired with thin personal AI fluency. This is the framework hazard signal that contemporary research most frequently flags. Confident sponsorship without demonstrated personal practice is a known pattern where AI initiatives launch well, attract investment, generate visible activity, and then under-deliver in production because the leadership decisions about scope, risk, and trade-offs are not informed by direct contact with what the technology can and cannot do.
Translation is your high-evidence dimension. You have led workflow redesigns end-to-end with named methodologies, you mobilise stakeholders through change with the commitment-versus-compliance distinction in practice, you design governance with the right components, and you have brought pilots to production embedding. Workflow redesign and change architecture, and empathic mobilisation anchor the dimension at level 5; governance, safety and regulatory architecture; systems integration; operational execution and embedding sit at level 4.
The Judgement dimension is the priority development area, and the priority is structural rather than incremental. Depth of hands-on use at level 2 and calibrated trust and probabilistic reasoning at level 2 are the most direct signals that the decisions you make about AI in your organisation are being made one layer removed from the artefacts themselves. In the current AI cycle, this gap is more costly than it would have been in earlier transformation programmes because the technology is changing fast enough that briefings go stale between meetings and the only reliable way to maintain accurate intuitions is direct, frequent personal use. The development priorities below are ordered to close this gap quickly. The Endurance and Stability dimensions are not the bottleneck and do not need primary attention in the next two quarters.
