BasicAgent
AI Risk Assessment Framework
A simple AI risk assessment framework that scales from pilot to production.
An AI risk assessment framework standardizes how teams evaluate new AI systems and changes.
Framework components
- Scope: system boundaries and stakeholders
- Risk factors: impact, likelihood, exposure
- Controls: mitigation actions required
- Evidence: evaluation, monitoring, approvals
Recommended cadence
- pre-launch assessment
- re-assessment on major changes
- quarterly review for critical systems
Related pages
- AI risk management framework:
/ai-risk-management-framework/ - AI risk mitigation:
/ai-risk-mitigation/ - AI compliance framework:
/ai-compliance-framework/
Create account
Build narrative
Follow a coherent path from thesis to lab notes to proof-of-work instead of isolated pages.
Step 1
Intelligence systems office
The strategic map for what is being built and why.
Step 2
Lab notes
Build footprints and progression logs as proof-of-work.
Step 3
Control surface
Governance and monitoring architecture for operational reliability.
Step 4
Private alignment
Convert insight into execution with scoped collaboration.