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baseline and final scenario or workflow assessment."},{"id":"verification","name":"Verification discipline","weight":20,"source":"benchmark","evidence":"Ability to check facts, calculations, source quality, code paths, policies, and assumptions before using AI output."},{"id":"policy_safety","name":"Policy safety","weight":20,"source":"benchmark","evidence":"Handling of privacy, confidential data, compliance boundaries, escalation authority, and approved tool usage."},{"id":"workflow_evidence","name":"Workflow evidence","weight":15,"source":"benchmark","evidence":"Completed missions, simulations, tool labs, playbooks, and take-back-to-work artifacts tied to real tasks."},{"id":"manager_actionability","name":"Manager actionability","weight":10,"source":"benchmark","evidence":"Whether team reports produce concrete coaching priorities, benchmark gaps, and readiness decisions."}],"readinessLevels":[{"id":"not_ready","range":"0-39","label":"Not ready","meaning":"Learner or team should not use AI for live workflows without close supervision.","nextAction":"Run baseline assessment, assign literacy modules, and start guided missions."},{"id":"supervised","range":"40-59","label":"Supervised","meaning":"AI can be used for practice or low-risk drafting with explicit review.","nextAction":"Focus coaching on verification, policy safety, and role workflow evidence."},{"id":"workflow_ready","range":"60-74","label":"Workflow ready","meaning":"Learner can complete repeatable AI workflows with manager-visible evidence.","nextAction":"Assign exit assessment, workflow portfolio, and tool comparison lab."},{"id":"approved","range":"75-89","label":"Approved","meaning":"Learner or team is ready for approved AI workflows under policy controls.","nextAction":"Export manager report and monitor readiness drift with weekly missions."},{"id":"advanced","range":"90-100","label":"Advanced","meaning":"Learner or team can coach others and improve reusable playbooks.","nextAction":"Promote artifacts into the company academy and expand to adjacent workflows."}],"scoreInputs":["Baseline assessment","Scenario simulation attempt","Workflow lab result","Tool mission result","Safety red-team lab result","Policy training result","Exit assessment"],"managerOutputs":["Legal readiness score","Gap to role target","Weakest dimensions","Failed skill atoms","Recommended missions","Credential eligibility"],"auditEvidence":["Legal baseline score","Legal exit score","Rubric version and dimension scores","Policy and safety evidence","Manager coaching action"]},{"id":"readiness-score-model-small-business","role":"small-business","roleLabel":"Small Business","productLine":"AIducation for Small Businesses","firstWedge":false,"academyPath":"/ai-training/small-business","targetScore":72,"riskLevel":"low","scoringScopes":[{"scope":"individual","description":"Measures whether one small business learner can use AI safely and effectively.","evidenceRequired":["Baseline attempt","Role simulation score","Skill atom pass/fail evidence","Tool mission evidence","Exit attempt"],"rollupMethod":"Weighted readiness dimensions with must-pass safety and verification checks."},{"scope":"team","description":"Measures whether a small business team has enough coverage and consistency to scale AI.","evidenceRequired":["Baseline coverage","Exit coverage","Average score","Weakest dimensions","Manager coaching actions"],"rollupMethod":"Average individual scores adjusted by coverage, pass rate, and repeated failure modes."},{"scope":"organization","description":"Measures company AI readiness across departments, policy evidence, credentials, and adoption risk.","evidenceRequired":["Department benchmarks","Policy training evidence","Credential registry","Workflow portfolio coverage","Audit-ready exports"],"rollupMethod":"Department score map weighted by risk level, coverage, target gaps, and evidence completeness."}],"weightedDimensions":[{"id":"small-business-accuracy","name":"Accuracy and Role Fit","weight":30,"source":"rubric","evidence":"The learner verifies AI output before relying on it."},{"id":"small-business-safety","name":"Policy and Safety","weight":25,"source":"rubric","evidence":"The learner references the relevant policy, boundary, or escalation rule."},{"id":"small-business-verification","name":"Verification Discipline","weight":20,"source":"rubric","evidence":"The learner names concrete checks they performed or would perform."},{"id":"small-business-clarity","name":"Clarity and Communication","weight":15,"source":"rubric","evidence":"Checks whether the output is clear, concise, audience-aware, and ready to use at work."},{"id":"small-business-judgment","name":"Judgment and Escalation","weight":10,"source":"rubric","evidence":"Checks whether the learner knows when to rely on AI, revise it, escalate, or stop."},{"id":"baseline_coverage","name":"Baseline coverage","weight":15,"source":"benchmark","evidence":"Percent of assigned learners who complete a role-specific baseline before training."},{"id":"exit_lift","name":"Exit lift","weight":20,"source":"benchmark","evidence":"Improvement between baseline and final scenario or workflow assessment."},{"id":"verification","name":"Verification discipline","weight":20,"source":"benchmark","evidence":"Ability to check facts, calculations, source quality, code paths, policies, and assumptions before using AI output."},{"id":"policy_safety","name":"Policy safety","weight":20,"source":"benchmark","evidence":"Handling of privacy, confidential data, compliance boundaries, escalation authority, and approved tool usage."},{"id":"workflow_evidence","name":"Workflow evidence","weight":15,"source":"benchmark","evidence":"Completed missions, simulations, tool labs, playbooks, and take-back-to-work artifacts tied to real tasks."},{"id":"manager_actionability","name":"Manager actionability","weight":10,"source":"benchmark","evidence":"Whether team reports produce concrete coaching priorities, benchmark gaps, and readiness decisions."}],"readinessLevels":[{"id":"not_ready","range":"0-39","label":"Not ready","meaning":"Learner or team should not use AI for live workflows without close supervision.","nextAction":"Run baseline assessment, assign literacy modules, and start guided missions."},{"id":"supervised","range":"40-59","label":"Supervised","meaning":"AI can be used for practice or low-risk drafting with explicit review.","nextAction":"Focus coaching on verification, policy safety, and role workflow evidence."},{"id":"workflow_ready","range":"60-74","label":"Workflow ready","meaning":"Learner can complete repeatable AI workflows with manager-visible evidence.","nextAction":"Assign exit assessment, workflow portfolio, and tool comparison lab."},{"id":"approved","range":"75-89","label":"Approved","meaning":"Learner or team is ready for approved AI workflows under policy controls.","nextAction":"Export manager report and monitor readiness drift with weekly missions."},{"id":"advanced","range":"90-100","label":"Advanced","meaning":"Learner or team can coach others and improve reusable playbooks.","nextAction":"Promote artifacts into the company academy and expand to adjacent workflows."}],"scoreInputs":["Baseline assessment","Scenario simulation attempt","Workflow lab result","Tool mission result","Safety red-team lab result","Policy training result","Exit assessment"],"managerOutputs":["Small Business readiness score","Gap to role target","Weakest dimensions","Failed skill atoms","Recommended missions","Credential eligibility"],"auditEvidence":["Small Business baseline score","Small Business exit score","Rubric version and dimension scores","Policy and safety evidence","Manager coaching action"]}]}