ATLI score 3.4 out of 5, band 3.2 to 3.6, medium confidence.

Scores

What you scored

Your ATLI and its four dimensions.

ATLI score

3.4

Medium confidence · band 3.2–3.6 · adequate evidence, some gaps.

Judgement4.3
High confidence
Translation2.4
High confidence
Endurance3.7
Medium confidence
Stability3.7
High confidence

Each dimension with its confidence.

Table view

Each row is one dimension on the 1–5 anchor scale. The label and the pips state how strong the evidence behind the score is.

Composite ATLI score with its confidence band.
Measure	Value
Interpreted ATLI	3.4
Band low	3.2
Band high	3.6
Confidence	Medium confidence

The four dimension scores with their confidence.
Dimension	Score	Band	Confidence
Judgement (J)	4.3	—	High confidence
Translation (T)	2.4	—	High confidence
Endurance (E)	3.7	—	Medium confidence
Stability (S)	3.7	—	High confidence

Capability position: the two axis scores and the neutral descriptor.
Measure	Value
Judgement (J)	4.3
Translation (T)	2.4
Position	Judgement-led
Target zone	Outside

ATLI is a hypothesis-driven structured-judgement diagnostic, not a predictive psychometric instrument.

Position

Where you sit

Where your Judgement and Translation scores place you against the target zone.

Judgement-led · Personal AI capability ahead of organisational translation.

Diagnosis

What the evidence shows

What the evidence says about how you lead with AI, in prose.

Your ATLI is 3.4 (range 3.2 to 3.6) at medium confidence. The profile reads as judgement-led: strong personal AI fluency that has not yet translated into organisational change leadership at the level your judgement on AI deserves. The framework describes this pattern as someone who is personally fluent, builds their own AI workflows skilfully, and develops sharp intuitions about where AI helps, but whose authority and methodology for mobilising change through the wider organisation is the bottleneck on the impact those intuitions could have.

Judgement is the high-evidence dimension. You use AI daily across multiple tools, you have refined workflows through iteration with kept-versus-discarded reasoning, you reason about output reliability with task-specific calibration, you predict workflow fit at high resolution, and you have configured agentic systems with autonomy boundaries you can articulate. Depth of hands-on use at level 5; calibrated trust and probabilistic reasoning at level 4; fit judgement at level 4; agentic supervision and orchestration at level 4. The dimension is consistent at the upper end.

Translation is the priority development area and the gap is structural. Workflow redesign and change architecture at level 2 and empathic mobilisation at level 2 indicate that organisational change-leadership behaviours that would multiply the impact of your personal fluency have not yet developed. This is the most common pattern for AI-fluent technical executives in transitional roles, and it is the pattern that limits visible organisational results from significant personal capability. Operational execution and embedding at level 2 reinforces the same picture: personal AI use has not yet translated into operational embedding others can use. The development priorities below are ordered to close this gap. The Endurance and Stability dimensions are solid and do not need primary attention.

Coverage

What this did not measure

Which parts of the framework this assessment measured directly, and which rest on your own account.

This assessment covers 11 of the framework's 15 sub-dimensions (tolerance for ambiguity, emotional regulation, decisive action under uncertainty and agentic supervision and orchestration are not yet directly assessed).

Profile

What your profile shows

Each dimension in turn: the headline reading and the evidence behind it.

Judgement

Judgement is your high-evidence dimension. Personal AI fluency is the standout signal across all four sub-dimensions.

Hands-on use (level 5) shows specific recent output stream across multiple tools with workflow iteration and explicit boundary management between AI-supported and AI-independent work. Calibrated trust (level 4) shows task-specific verification heuristics tied to consequence of being wrong. Fit judgement (level 4) predicts workflow fit at high resolution with within-domain heterogeneity articulated. Agentic supervision (level 4) shows at least one personal autonomy-boundary configuration with the reasoning.

Depth of hands-on use anchors the dimension at level 5. The other three sit at level 4 within reach of level 5 by adding a documented verification threshold (calibrated trust and probabilistic reasoning), a non-obvious use case competitors have not identified (fit judgement), or a personal autonomy-tier model with a guardrail-that-failed example (agentic supervision and orchestration).

Translation

Translation is the priority development area. The gap between personal fluency and organisational change-leadership is the structural pattern in this profile.

Workflow redesign (level 2) shows specific instances with outcomes but the design work has been led by others. Empathic mobilisation (level 2) shows recognition that resistance differs from disagreement but the engagement is committee-level rather than individual-coaching-level. Governance and safety architecture (level 3) shows a designed governance structure with decision rights and escalation. Systems integration (level 3) describes ripple effects in retrospect. Operational execution (level 2) shows pilots without production embedding discipline.

The leverage here is a personal change-methodology repertoire applied to one specific workflow redesign you own end-to-end, paired with one identified stakeholder you coach through identity transition. Those two moves would lift workflow redesign and change architecture, and empathic mobilisation to level 3 within a quarter and unlock the next layer of organisational impact.

Endurance

Endurance is solid. Real-options reasoning under uncertainty and tolerance for ambiguity both anchor the dimension at level 4.

Strategic patience (level 4) shows defended investments through pressure with capability-versus-value-capture distinction. Tolerance for ambiguity (level 4) shows competent operation with explicit assumption-fragility reasoning. Learning velocity (level 3) shows the reading practice and at least one recent updated belief.

Strategic patience and value reasoning under uncertainty, and tolerance for ambiguity are within reach of level 5 by adding probability-distribution reasoning about investment value (strategic patience and value reasoning under uncertainty) and named working practices that enable clear thinking in deeply ambiguous contexts (tolerance for ambiguity). Learning velocity lifts by demonstrating multiple updated beliefs including a politically expensive public update.

Stability

Stability is competent. Composure and decisive action are evidenced; status security is the priority lift.

Emotional regulation (level 4) and decisive action under uncertainty (level 4) both sit at level 4. Status security (level 3) shows admitted not-knowing but the examples are in lower-stakes contexts.

Lifting status security to level 4 or level 5 requires a specific recent instance of public not-knowing in a stakes-bearing context, with the team habit you built around that behaviour articulated. This is the same pattern surfacing as in the translation-led profile and is broadly applicable across executive roles where the technology is moving faster than individual expertise can keep pace.

The four dimension scores as one outline against the dashed optimum.

Table view

Axis order is fixed J, T, E, S; the dashed outline is the anchored optimum. Read the numbers in the dimension strip, not from the shape.

Profile shape values (the same four dimension scores as the strip).
Dimension	Score	Anchored optimum
Judgement (J)	4.3	5.0
Translation (T)	2.4	5.0
Endurance (E)	3.7	5.0
Stability (S)	3.7	5.0

Strengths and priorities

The sub-dimensions where the evidence is densest, and where further investment compounds most.

Strengths

Depth of hands-on use · Frequency, range, and duration of personal AI engagement.
Calibrated trust and probabilistic reasoning · Critical evaluation of AI outputs; reasoning about confidence intervals; systematic verification.

Development priorities

Workflow redesign and change architecture · Redesigns processes for AI-augmented operation; applies defensible change methodology.
Empathic mobilisation · Reads organisational political/emotional state; mobilises through change; builds commitment over compliance.
Operational execution and embedding · Pilot-to-production discipline; AI-calibrated training infrastructure; metrics for non-deterministic workflows; recursive/self-improving infrastructure.

Next steps

How to use this report with your sponsor or coach.

Discuss this profile with your sponsor and any executive coach you work with. The development priorities are ordered by likely impact, not by ease of execution.
Consider whether a full ATLI assessment (Stage 2 + Stage 3 + Hogan integration) would be useful before any shortlist or appointment decision. This Part 1 view is indicative.
For the development priorities flagged above, suggested resources and a 90-day development plan are available from your sponsor.

Glossary

What the dimensions mean

What each of the four dimensions measures.

Judgement: Judgement combines how deeply you use AI yourself, how well you calibrate trust in AI outputs, and how accurately you predict where AI will deliver value.
Translation: Translation is your capacity to redesign workflows, mobilise teams, design governance, anticipate cross-functional effects, and embed AI into operational discipline.
Endurance: Endurance is your value-reasoning under uncertainty, tolerance for ambiguity, and speed of belief-updating as new evidence arrives.
Stability: Stability is emotional regulation under pressure, security in being visibly inexpert, and decisiveness when information is incomplete.