AI Readiness Assessment,
for People, Not Organisations
Most AI readiness frameworks measure your data, your infrastructure, and your governance. Bryq measures something different: whether your candidates and employees are ready to work effectively with AI in their actual role.
AI Readiness Assessment,
for People, Not Organisations
Most AI readiness frameworks measure your data, your infrastructure, and your governance. Bryq measures something different: whether your candidates and employees are ready to work effectively with AI in their actual role.
AI Readiness Assessment,
for People, Not Organisations
Most AI readiness frameworks measure your data, your infrastructure, and your governance. Bryq measures something different: whether your candidates and employees are ready to work effectively with AI in their actual role.
Two different "AI readiness" questions
Two different "AI readiness" questions
When people search for "AI readiness assessment," they are asking one of two questions that share a name. The first is organisational: is your organisation set up to deploy AI? That covers data quality, infrastructure, governance, and change management. Microsoft, Cisco, and Avanade have built large content programmes around this question. McKinsey publishes an AI Quotient.
The second is individual: is each person on your team prepared to work effectively with AI in their actual role? That covers task strategy, prompting, evaluation, ethical use, and workflow integration. This is the question Bryq answers.
Both questions matter. An organisation can have its data, infrastructure, and governance fully ready and still capture no productivity from AI deployment, because the people are not ready. Or vice versa. The two readiness questions are complementary, not competing. The mistake is conflating them.
When people search for "AI readiness assessment," they are asking one of two questions that share a name. The first is organisational: is your organisation set up to deploy AI? That covers data quality, infrastructure, governance, and change management. Microsoft, Cisco, and Avanade have built large content programmes around this question. McKinsey publishes an AI Quotient.
The second is individual: is each person on your team prepared to work effectively with AI in their actual role? That covers task strategy, prompting, evaluation, ethical use, and workflow integration. This is the question Bryq answers.
Both questions matter. An organisation can have its data, infrastructure, and governance fully ready and still capture no productivity from AI deployment, because the people are not ready. Or vice versa. The two readiness questions are complementary, not competing. The mistake is conflating them.
When people search for "AI readiness assessment," they are asking one of two questions that share a name. The first is organisational: is your organisation set up to deploy AI? That covers data quality, infrastructure, governance, and change management. Microsoft, Cisco, and Avanade have built large content programmes around this question. McKinsey publishes an AI Quotient.
The second is individual: is each person on your team prepared to work effectively with AI in their actual role? That covers task strategy, prompting, evaluation, ethical use, and workflow integration. This is the question Bryq answers.
Both questions matter. An organisation can have its data, infrastructure, and governance fully ready and still capture no productivity from AI deployment, because the people are not ready. Or vice versa. The two readiness questions are complementary, not competing. The mistake is conflating them.
Why individual AI readiness matters as much as org readiness
Why individual AI readiness matters as much as org readiness
OECD research and AI productivity studies have consistently found that the gap between AI tools deployed and AI tools used productively is large. The bottleneck is rarely the tool. It is the human ability to deploy the tool well in the actual work.
A practical example. Two organisations buy the same AI assistant. Organisation A has rolled out training, established override protocols, and assessed readiness across the workforce. Organisation B has paid for the licences and assumed people will figure it out. Three months later, A is seeing 15-20% productivity lift on AI-augmented tasks; B is seeing 2-3%, and most of the licences sit unused. The technology is identical. The readiness is not.
Individual AI readiness is the pre-condition for any AI productivity gain. It is also the pre-condition for AI risk management, under EU AI Act Article 4, an organisation cannot meet its literacy obligations without an individual-readiness view.
OECD research and AI productivity studies have consistently found that the gap between AI tools deployed and AI tools used productively is large. The bottleneck is rarely the tool. It is the human ability to deploy the tool well in the actual work.
A practical example. Two organisations buy the same AI assistant. Organisation A has rolled out training, established override protocols, and assessed readiness across the workforce. Organisation B has paid for the licences and assumed people will figure it out. Three months later, A is seeing 15-20% productivity lift on AI-augmented tasks; B is seeing 2-3%, and most of the licences sit unused. The technology is identical. The readiness is not.
Individual AI readiness is the pre-condition for any AI productivity gain. It is also the pre-condition for AI risk management, under EU AI Act Article 4, an organisation cannot meet its literacy obligations without an individual-readiness view.
OECD research and AI productivity studies have consistently found that the gap between AI tools deployed and AI tools used productively is large. The bottleneck is rarely the tool. It is the human ability to deploy the tool well in the actual work.
A practical example. Two organisations buy the same AI assistant. Organisation A has rolled out training, established override protocols, and assessed readiness across the workforce. Organisation B has paid for the licences and assumed people will figure it out. Three months later, A is seeing 15-20% productivity lift on AI-augmented tasks; B is seeing 2-3%, and most of the licences sit unused. The technology is identical. The readiness is not.
Individual AI readiness is the pre-condition for any AI productivity gain. It is also the pre-condition for AI risk management, under EU AI Act Article 4, an organisation cannot meet its literacy obligations without an individual-readiness view.
The AI readiness assessment framework: five dimensions
The AI readiness assessment framework: five dimensions
Bryq's framework measures readiness across five dimensions, scored 0–100, built on six peer-reviewed research bodies including UNESCO's AI Competency Framework, SFIA v9, and OECD AI literacy work.
Bryq's framework measures readiness across five dimensions, scored 0–100, built on six peer-reviewed research bodies including UNESCO's AI Competency Framework, SFIA v9, and OECD AI literacy work.
Bryq's framework measures readiness across five dimensions, scored 0–100, built on six peer-reviewed research bodies including UNESCO's AI Competency Framework, SFIA v9, and OECD AI literacy work.
Dimension
Dimension
Dimension
What it measures
What it measures
What it measures
AI Task Strategy
What it
measures
AI Task Strategy
When and how to deploy AI in a workflow; recognising the right and wrong moments to use it.
When and how to deploy AI in a workflow; recognising the right and wrong moments to use it.
When and how to deploy AI in a workflow; recognising the right and wrong moments to use it.
Prompting & Interaction
Core
approach
Prompting & Interaction
Effective input design, iteration, and getting useful output from a generative system.
Effective input design, iteration, and getting useful output from a generative system.
Effective input design, iteration, and getting useful output from a generative system.
Critical Evaluation
AI
proficiency
Critical Evaluation
Spotting hallucinations, bias, factual errors, and weak outputs before they reach a decision.
Spotting hallucinations, bias, factual errors, and weak outputs before they reach a decision.
Spotting hallucinations, bias, factual errors, and weak outputs before they reach a decision.
Ethical & Responsible Use
Candidate
experience
Ethical & Responsible Use
Handling sensitive data, transparency to candidates, knowing what to escalate.
Handling sensitive data, transparency to candidates, knowing what to escalate.
Handling sensitive data, transparency to candidates, knowing what to escalate.
Workflow Integration
Candidate
experience
Workflow Integration
Embedding AI into real work without becoming dependent or losing judgement.
Embedding AI into real work without becoming dependent or losing judgement.
Embedding AI into real work without becoming dependent or losing judgement.
Each candidate or employee is scored across all five dimensions. The composite is mapped against a role-specific Ideal Candidate Profile that Bryq's AI builds from the role description. Readiness is not absolute, it is role-relative. The level of readiness required for a customer-success rep differs from what is required for an engineer.
Each candidate or employee is scored across all five dimensions. The composite is mapped against a role-specific Ideal Candidate Profile that Bryq's AI builds from the role description. Readiness is not absolute, it is role-relative. The level of readiness required for a customer-success rep differs from what is required for an engineer.
Each candidate or employee is scored across all five dimensions. The composite is mapped against a role-specific Ideal Candidate Profile that Bryq's AI builds from the role description. Readiness is not absolute, it is role-relative. The level of readiness required for a customer-success rep differs from what is required for an engineer.
Bryq's individual readiness vs the org-readiness frameworks
Bryq's individual readiness vs the org-readiness frameworks
A side-by-side reference. This is not Bryq competing against Microsoft, Cisco, Avanade, or McKinsey. The frameworks answer different sub-questions that happen to share a name.
A side-by-side reference. This is not Bryq competing against Microsoft, Cisco, Avanade, or McKinsey. The frameworks answer different sub-questions that happen to share a name.
A side-by-side reference. This is not Bryq competing against Microsoft, Cisco, Avanade, or McKinsey. The frameworks answer different sub-questions that happen to share a name.
Framework
Framework
Framework
Unit of analysis
Unit of analysis
Unit of analysis
What it measures
What it measures
What it measures
Use case
Use case
Use case
Organisation
Organisation
Organisation
Data, infrastructure, governance maturity
Data, infrastructure, governance maturity
Data, infrastructure, governance maturity
Org-level readiness audit before AI deployment
Org-level readiness audit before AI deployment
Org-level readiness audit before AI deployment
Organisation
Organisation
Organisation
Infrastructure, data foundations, AI strategy
Infrastructure, data foundations, AI strategy
Infrastructure, data foundations, AI strategy
Org-level technology readiness benchmark
Org-level technology readiness benchmark
Org-level technology readiness benchmark
Organisation
Organisation
Organisation
Strategy, governance, change management maturity
Strategy, governance, change management maturity
Strategy, governance, change management maturity
Org-level maturity self-assessment
Org-level maturity self-assessment
Org-level maturity self-assessment
Organisation
Organisation
Organisation
Strategic, operational, and capability indices
Strategic, operational, and capability indices
Strategic, operational, and capability indices
Cross-industry org benchmarking
Cross-industry org benchmarking
Cross-industry org benchmarking
Individual
Individual
Individual
Five dimensions of applied AI capability per person
Five dimensions of applied AI capability per person
Five dimensions of applied AI capability per person
Hiring, workforce baselining, EU AI Act Article 4 literacy
Hiring, workforce baselining, EU AI Act Article 4 literacy
Hiring, workforce baselining, EU AI Act Article 4 literacy
If you are running an organisational AI readiness audit, the four frameworks above are the right tools. If you are screening candidates or baselining a workforce on individual AI readiness, Bryq is the right tool. Most large AI programmes need both kinds of measurement.
If you are running an organisational AI readiness audit, the four frameworks above are the right tools. If you are screening candidates or baselining a workforce on individual AI readiness, Bryq is the right tool. Most large AI programmes need both kinds of measurement.
If you are running an organisational AI readiness audit, the four frameworks above are the right tools. If you are screening candidates or baselining a workforce on individual AI readiness, Bryq is the right tool. Most large AI programmes need both kinds of measurement.
How to use the AI readiness assessment as a tool for hiring and your current team
How to use the AI readiness assessment as a tool for hiring and your current team
Hiring screening
Hiring screening
Use AI readiness as a hiring criterion for roles where AI-augmented work is part of the job. The assessment scores candidates on the five dimensions, mapped to the role's specific readiness threshold. ATS-integrated; runs as a step in your existing hiring workflow.
Use AI readiness as a hiring criterion for roles where AI-augmented work is part of the job. The assessment scores candidates on the five dimensions, mapped to the role's specific readiness threshold. ATS-integrated; runs as a step in your existing hiring workflow.
Use AI readiness as a hiring criterion for roles where AI-augmented work is part of the job. The assessment scores candidates on the five dimensions, mapped to the role's specific readiness threshold. ATS-integrated; runs as a step in your existing hiring workflow.
Workforce baselining
Workforce baselining
Run the assessment across an existing team to measure readiness today. The output is a workforce capability map you can use to direct training spend, identify role-mismatch risk, and feed performance and L&D planning.
Run the assessment across an existing team to measure readiness today. The output is a workforce capability map you can use to direct training spend, identify role-mismatch risk, and feed performance and L&D planning.
Run the assessment across an existing team to measure readiness today. The output is a workforce capability map you can use to direct training spend, identify role-mismatch risk, and feed performance and L&D planning.
Role-specific readiness baselining
Role-specific readiness baselining
Different roles require different readiness. Bryq's Ideal Candidate Profile mapping handles this, the five dimensions are measured for everyone, but the weighting and threshold change by role. A marketer needs deep Prompting & Interaction; an engineer needs deep Critical Evaluation and Ethical Use; a customer-success lead needs all five at moderate level.
Different roles require different readiness. Bryq's Ideal Candidate Profile mapping handles this, the five dimensions are measured for everyone, but the weighting and threshold change by role. A marketer needs deep Prompting & Interaction; an engineer needs deep Critical Evaluation and Ethical Use; a customer-success lead needs all five at moderate level.
Different roles require different readiness. Bryq's Ideal Candidate Profile mapping handles this, the five dimensions are measured for everyone, but the weighting and threshold change by role. A marketer needs deep Prompting & Interaction; an engineer needs deep Critical Evaluation and Ethical Use; a customer-success lead needs all five at moderate level.
How readiness changes by role
How readiness changes by role
An illustrative weighting comparison for three role types:
An illustrative weighting comparison for three role types:
An illustrative weighting comparison for three role types:
Dimension
Dimension
Dimension
Marketer
Marketer
Marketer
Engineer
Engineer
Engineer
Customer success
Customer success
Customer success
AI Task Strategy
AI Task Strategy
AI Task Strategy
High
High
High
Very high
Very high
Very high
High
High
High
Prompting & Interaction
Prompting & Interaction
Prompting & Interaction
Very high
Very high
Very high
High
High
High
High
High
High
Critical Evaluation
Critical Evaluation
Critical Evaluation
High
High
High
Very high
Very high
Very high
Moderate
Moderate
Moderate
Ethical & Responsible Use
Ethical & Responsible Use
Ethical & Responsible Use
Moderate
Moderate
Moderate
High
High
High
Very high
Very high
Very high
Workflow Integration
Workflow Integration
Workflow Integration
High
High
High
Moderate
Moderate
Moderate
Very high
Very high
Very high
The same assessment runs for all three. The Ideal Candidate Profile, built from the role description, determines which dimensions the composite score weights most heavily.
The same assessment runs for all three. The Ideal Candidate Profile, built from the role description, determines which dimensions the composite score weights most heavily.
The same assessment runs for all three. The Ideal Candidate Profile, built from the role description, determines which dimensions the composite score weights most heavily.
AI readiness and EU AI Act Article 4
AI readiness and EU AI Act Article 4
AI readiness is the strategic term most leaders use. AI literacy is the regulatory term used in EU AI Act Article 4. They describe the same underlying capability through different lenses.
If your organisation operates in the EU, Article 4 makes individual AI literacy a legal obligation. Bryq's AI Readiness Assessment is the same measurement that supports your Article 4 literacy programme; the records produced by the assessment can sit in your audit binder. For the full compliance angle, see /resources/ai-literacy-assessment.
AI readiness is the strategic term most leaders use. AI literacy is the regulatory term used in EU AI Act Article 4. They describe the same underlying capability through different lenses.
If your organisation operates in the EU, Article 4 makes individual AI literacy a legal obligation. Bryq's AI Readiness Assessment is the same measurement that supports your Article 4 literacy programme; the records produced by the assessment can sit in your audit binder. For the full compliance angle, see /resources/ai-literacy-assessment.
AI readiness is the strategic term most leaders use. AI literacy is the regulatory term used in EU AI Act Article 4. They describe the same underlying capability through different lenses.
If your organisation operates in the EU, Article 4 makes individual AI literacy a legal obligation. Bryq's AI Readiness Assessment is the same measurement that supports your Article 4 literacy programme; the records produced by the assessment can sit in your audit binder. For the full compliance angle, see /resources/ai-literacy-assessment.
Customer evidence
A major customer uses Bryq for workforce readiness in government technology. A large transportation company runs it for operational hiring at infrastructure scale. An AI-native customer uses it to hire AI-proficient talent. Across the 140+ teams using Bryq globally: 3x improvement in quality of hire, 47% lower attrition, 2x faster hiring.
Results measured across Bryq customer engagements. Individual outcomes vary by role, industry, and baseline hiring maturity.
If you are also evaluating organisational AI readiness, we will happily point you at Microsoft, Cisco, Avanade, or McKinsey's framework as the right tool for that question. We do not pretend we measure org readiness. We measure people readiness. Most programmes need both.
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Ready to Measure AI Proficiency?
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