ATLI score 4.2 out of 5, band 4.0 to 4.4, high confidence.

Scores

What you scored

Your ATLI and its four dimensions.

ATLI score

4.2

High confidence · band 4.0–4.4 · several sources agree.

Judgement4.5
High confidence
Translation4.4
High confidence
Endurance4.0
High confidence
Stability4.0
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	4.2
Band low	4.0
Band high	4.4
Confidence	High confidence

The four dimension scores with their confidence.
Dimension	Score	Band	Confidence
Judgement (J)	4.5	—	High confidence
Translation (T)	4.4	—	High confidence
Endurance (E)	4.0	—	High confidence
Stability (S)	4.0	—	High confidence

Capability position: the two axis scores and the neutral descriptor.
Measure	Value
Judgement (J)	4.5
Translation (T)	4.4
Position	Balanced strength
Target zone	Inside

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.

Balanced strength · Judgement and translation both at target strength.

Diagnosis

What the evidence shows

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

Your ATLI is 4.2 (range 4.0 to 4.4) at high confidence. This is a balanced-strength profile: strong personal AI fluency anchored in concrete recent practice, paired with substantive organisational change capacity. The strengths below describe the areas where the evidence is densest; the development priorities identify where further investment compounds the highest leverage in the current cycle.

The Judgement dimension reads as authoritative across the board. Your recent personal output stream is specific and self-described, you reason about AI outputs with calibrated trust rather than blanket acceptance, your fit judgement is sharp at the workflow level, and the agentic-supervision dimension (added in framework v0.2) shows you have set autonomy boundaries on at least one configured agent with reasoning that distinguishes what may run unsupervised from what cannot. Translation is similarly strong: you have led at least one workflow redesign end-to-end with a named methodology and a measurable outcome, you mobilise stakeholders through change with an explicit commitment-versus-compliance posture, and your governance design extends into the AI safety control plane (permission boundaries, monitoring, named-owner accountability) rather than stopping at compliance posture.

Endurance and Stability are solid at level 4. You defend AI investments through the J-curve with reasoning that holds up under pressure, you tolerate ambiguity without collapsing into false certainty, and you update beliefs as evidence accumulates. Where the profile could compound further: deepen the recursive-improvement element of operational embedding (operational execution and embedding at level 5 requires a self-improving loop the candidate built, not just a repeated manual optimisation), and continue building the agentic-supervision repertoire (agentic supervision and orchestration at level 5 requires a personal autonomy-tier model with a guardrail that failed and the change that followed).

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

AI judgement is strong and well evidenced across all four sub-dimensions.

Across hands-on use (level 5), calibrated trust (level 4), fit judgement (level 5), and agentic supervision (level 4), the evidence reads as substantive and consistent. You named a specific output stream from the past 7 days unprompted, articulated task-specific verification heuristics, predicted workflow fit at high resolution including a non-obvious use case, and described at least one configured agent with the autonomy boundary you set and the reasoning behind it.

The two sub-dimensions at level 5 (depth of hands-on use and fit judgement) anchor the dimension. The two at level 4 (calibrated trust and probabilistic reasoning, and agentic supervision and orchestration) are within reach of level 5 by adding a single missing element each: a documented verification threshold on calibrated trust and probabilistic reasoning; a personal autonomy-tier model with a guardrail-that-failed example on agentic supervision and orchestration.

Translation

Translation capacity is strong, with governance and mobilisation as the standout sub-dimensions.

You have led workflow redesign end-to-end (level 4), mobilise stakeholders with an explicit commitment-versus-compliance distinction (level 5), designed governance that extends into the AI safety control plane (level 4), sequence deployments for ripple effects (level 4), and have driven pilot-to-production embedding with non-deterministic performance metrics (level 5).

Empathic mobilisation, and operational execution and embedding anchor the dimension at level 5. Workflow redesign and change architecture; governance, safety and regulatory architecture; systems integration sit at level 4 and are within reach of level 5. The strongest development leverage is the recursive-improvement element on operational execution and embedding: an evaluation harness or feedback loop you built that compounds without manual re-tuning each cycle.

Endurance

Endurance is steady across the three sub-dimensions, with strong real-options reasoning under uncertainty.

Strategic patience and value reasoning (level 4) shows real-options thinking with a portfolio-of-bets framing. Tolerance for ambiguity (level 4) shows competent operation when information is incomplete with explicit revision triggers. Learning velocity (level 4) shows multiple recently-updated beliefs with named triggers. The dimension is consistent at level 4.

Where it could lift to level 5: the full level 5 anchor on strategic patience and value reasoning under uncertainty requires a long-horizon defended investment with the reasoning that sustained the defence, plus a walked-away counterpart. On learning velocity, lifting to level 5 requires evidence that the belief-updating is a continuous practice rather than a recent set of notable examples.

Stability

Stability is solid across the board, with composure, status security, and decisive action all evidenced.

Emotional regulation (level 4), status security (level 4), and decisive action under uncertainty (level 4) all sit at level 4. You maintain composure under typical executive pressure, admit not-knowing in stakes that matter, and act before complete information is available with named uncertainty bounds. The dimension is consistent.

The lift to level 5 on emotional regulation requires a specific high-pressure situation with team-observed steadiness. On status security it requires the team habit of admitting not-knowing rather than individual instances. On decisive action under uncertainty it requires a documented decision with explicit uncertainty bounds where the team confidence remained intact.

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)	4.5	5.0
Translation (T)	4.4	5.0
Endurance (E)	4.0	5.0
Stability (S)	4.0	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.
Empathic mobilisation · Reads organisational political/emotional state; mobilises through change; builds commitment over compliance.

Development priorities

Agentic supervision and orchestration · Directs, bounds, and supervises AI agents (not just prompts models); sets autonomy/permission boundaries; recognises when an agent exceeds its competence and intervenes.
Learning velocity · Speed of belief updating as new evidence and capabilities emerge.

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.