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The Core-6 framework

Six signals. One clearer picture of AI readiness.

The Core-6 defines the knowledge people need before AI can be used safely, productively and with accountable human judgement.

Explore all six
01

AIF

AI Foundations

Tests whether someone has the mental models needed to understand what AI systems can do, where they fail and why confident output is not the same as correct output.

Focus
Core mechanics, capabilities and limitations
Risk reduced
Automation bias and blind trust in AI-generated answers
“Can they explain when an AI answer needs challenge or verification?”
02

AUC

Application & Use Cases

Measures the judgement needed to identify useful applications, recognise unsuitable workflows and make proportionate choices about when AI adds value.

Focus
Matching the right tools to worthwhile tasks
Risk reduced
Forcing AI into low-value or inappropriate workflows
“Can they distinguish a genuine use case from AI for AI's sake?”
03

BER

Bias, Ethics & Risk

Assesses the ability to spot foreseeable harms, challenge unfair outcomes and understand why context changes the level of risk an AI system creates.

Focus
Recognising bias, impact and compliance hazards
Risk reduced
Regulatory exposure, unfair outcomes and reputational harm
“Can they identify who may be affected before a tool is deployed?”
04

DQG

Data Quality & Governance

Tests how well someone understands the relationship between inputs and outputs, including privacy, confidential information, provenance and data quality.

Focus
Data lineage, quality, privacy and safe handling
Risk reduced
Sensitive-data leakage and unreliable outputs built on poor inputs
“Do they know what should never be entered into a public AI tool?”
05

OIE

Output Interpretation & Evaluation

Measures whether people can evaluate AI-generated work, detect unsupported claims and apply the right standard of evidence before acting on an output.

Focus
Critical review, fact-checking and interpretation
Risk reduced
Plausible-sounding inaccuracies becoming business decisions
“Can they verify an output without simply asking the same model again?”
06

HOC

Human Oversight & Collaboration

Assesses when a human should intervene, how responsibility is retained and whether someone can work iteratively with AI without outsourcing judgement.

Focus
Intervention, escalation and accountable collaboration
Risk reduced
Unclear accountability and unsafe over-reliance on automation
“Do they know when to stop, escalate or take the decision back?”

Interpreting the profile

A score starts a conversation. It does not end one.

Overall performance shows broad readiness. The six dimensions explain where confidence is justified and where support is needed.

01Foundational

Developing the baseline knowledge needed for supported AI use.

02Proficient

Applying sound knowledge across common workplace situations.

03Advanced

Showing mature judgement across risk, evaluation and oversight.

From assessment to interview

Use the signals to probe judgement, not rehearse definitions.

Data

“Tell me about a time you decided information was not safe or suitable to share with an AI tool.”

Evaluation

“How would you verify a plausible AI answer before using it in a high-impact decision?”

Oversight

“What would make you stop an AI-assisted workflow and escalate to another person?”

See the complete assessment

Turn the Core-6 into evidence.

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