EU AI Act Article 4 readiness
AI literacy is not enough unless it is tied to AI access.
Use this checklist to map AI literacy, role-based access, approved agent skills, training prerequisites, and audit evidence into one governance model.
Why this matters
The EU AI Act Article 4 asks organizations to ensure a sufficient level of AI literacy for the people who operate or use AI systems on their behalf. For security and AI governance teams, the practical challenge is not only whether employees completed AI training.
The harder question is: can you prove that the right people and agents can only use the AI capabilities they are trained, approved, and authorized to use?
Bakara helps connect AI literacy to governed AI loadouts: the approved skills, tools, prompts, workflows, permissions, and evidence attached to each role or AI agent.
The checklist
Connect literacy, access, and evidence.
AI system and agent inventory
- Do we know which AI agents, copilots, assistants, and AI-enabled workflows are in use?
- Do we know who owns each AI agent or workflow?
- Do we know which business process each AI system supports?
- Do we know which users, teams, vendors, or customers are affected?
AI skill and capability mapping
- Have we documented what each AI agent can do?
- Have we listed the tools, prompts, workflows, connectors, APIs, and permissions each agent can access?
- Have we identified which AI skills can read, write, execute, export, or modify data?
- Have we classified skills by risk level?
Role-based AI loadouts
- Have we defined which AI skills are approved for each role?
- Are high-risk AI skills restricted to approved teams?
- Are sensitive actions blocked, conditional, or approval-based?
- Are loadouts reviewed on a defined schedule?
AI literacy and training prerequisites
- Is AI training mapped to the actual AI capabilities each role uses?
- Are users required to complete relevant modules before accessing high-risk AI skills?
- Are policy acknowledgments recorded?
- Can access be restricted when training is missing or expired?
Human oversight
- Have we defined which AI actions require human review?
- Do high-impact AI workflows have named accountable owners?
- Are escalation paths documented?
- Are reviewers trained for the context they oversee?
Evidence and audit readiness
- Can we export evidence of approved skills, roles, training status, usage, exceptions, and reviews?
- Can we show who approved each AI skill or loadout?
- Can we show when loadouts changed?
- Can we detect and investigate unapproved AI capability usage?
How Bakara helps
From policy to governed loadouts.
Skill registry
A live inventory of AI skills, tools, prompts, workflows, connectors, permissions, and owners.
Role-based loadouts
Define what each role, team, or AI agent is allowed to access and do.
Monitoring & drift
See usage, detect drift from policy, and flag capabilities that need review.
Audit evidence
Export evidence of approved skills, access decisions, exceptions, and reviews.
Turn AI literacy into AI capability governance.
Bakara helps security and AI governance teams move from policy documents and training records to governed AI loadouts and audit-ready evidence.
Bakara supports AI governance, security operations, and audit-readiness workflows. Regulatory obligations vary by organization, jurisdiction, use case, and implementation. This material is not legal advice.