Resolve
Identify learner role, department, approved tools, and relevant policy profile.
AIducation translates policy training into enforceable role rules: tool access, data boundaries, approved prompt and workflow requirements, verification gates, misuse triggers, exceptions, and audit exports.
Enforcement turns AI policy from static training into live decisions that can be reviewed by managers and audited by admins.
Identify learner role, department, approved tools, and relevant policy profile.
Evaluate tool approval, data class, prompt library, workflow library, and verification evidence.
Allow, require manager review, require admin approval, block, or route misuse reporting.
Attach enforcement action, exception status, manager owner, and audit fields to exports.
Each profile maps controls to scopes, triggers, actions, evidence, approved libraries, tool data rules, exception handling, and exports.
Learners use only approved AI tools for the role, data type, and workflow.
Sensitive customer, employee, financial, legal, health, or code context is minimized or removed before AI use.
AI output must be checked against source material, calculations, policy, or code paths before reuse.
Learners use only approved AI tools for the role, data type, and workflow.
Sensitive customer, employee, financial, legal, health, or code context is minimized or removed before AI use.
AI output must be checked against source material, calculations, policy, or code paths before reuse.
Learners use only approved AI tools for the role, data type, and workflow.
Sensitive customer, employee, financial, legal, health, or code context is minimized or removed before AI use.
AI output must be checked against source material, calculations, policy, or code paths before reuse.
Learners use only approved AI tools for the role, data type, and workflow.
Sensitive customer, employee, financial, legal, health, or code context is minimized or removed before AI use.
AI output must be checked against source material, calculations, policy, or code paths before reuse.
Learners use only approved AI tools for the role, data type, and workflow.
Sensitive customer, employee, financial, legal, health, or code context is minimized or removed before AI use.
AI output must be checked against source material, calculations, policy, or code paths before reuse.
Learners use only approved AI tools for the role, data type, and workflow.
Sensitive customer, employee, financial, legal, health, or code context is minimized or removed before AI use.
AI output must be checked against source material, calculations, policy, or code paths before reuse.
Learners use only approved AI tools for the role, data type, and workflow.
Sensitive customer, employee, financial, legal, health, or code context is minimized or removed before AI use.
AI output must be checked against source material, calculations, policy, or code paths before reuse.
Learners use only approved AI tools for the role, data type, and workflow.
Sensitive customer, employee, financial, legal, health, or code context is minimized or removed before AI use.
AI output must be checked against source material, calculations, policy, or code paths before reuse.
Learners use only approved AI tools for the role, data type, and workflow.
Sensitive customer, employee, financial, legal, health, or code context is minimized or removed before AI use.
AI output must be checked against source material, calculations, policy, or code paths before reuse.
Every policy decision can attach evidence to governance, manager reports, misuse reporting, audit logs, and enterprise exports.
Export enforcement evidence