Framework Overview
The AI Safety Net Framework is a comprehensive risk management system designed to prevent the five most common AI implementation disasters while maximizing the productivity benefits of agentic AI in marketing operations.
1
Built-in Approval Processes
Systematic human oversight for all AI decisions based on risk levels and impact thresholds.
Human approval required for all customer-facing communications
Automatic escalation for decisions above $1,000 budget impact
Clear approval hierarchies: Team Lead → Manager → Director based on risk
24-hour approval SLA for non-urgent decisions
Emergency override protocols for time-sensitive opportunities
2
Gradual Autonomy Scaling
Progressive increase in AI decision-making authority based on proven performance and risk assessment.
Phase 1: AI recommendations with human decisions (30 days)
Phase 2: AI executes low-risk decisions automatically (60 days)
Phase 3: AI handles complex decisions with oversight (90 days)
Phase 4: Full autonomy for proven, low-risk processes (120+ days)
Performance gates required to advance between phases
3
Continuous Human Oversight
Regular monitoring and review protocols to ensure AI decisions align with business objectives.
Daily AI decision audits for high-impact actions
Weekly performance reviews with trend analysis
Monthly strategy adjustments based on performance data
Quarterly full system evaluations and recalibration
Dedicated AI oversight team member assigned
4
Fail-Safe Mechanisms
Automated protection systems that prevent catastrophic failures and enable rapid recovery.
Automatic stops for unusual patterns or anomalies
Complete rollback capabilities for all AI decisions
Emergency human override for any AI action
Complete audit trails for all AI decisions and actions
Automated backup systems for critical data and processes
Implementation Timeline
1
Assessment Phase
Evaluate current AI readiness, identify risk factors, and establish baseline metrics for success measurement.
2
Foundation Setup
Implement approval processes, establish oversight protocols, and configure fail-safe mechanisms.
3
Pilot Deployment
Deploy AI in controlled environment with full human oversight and continuous monitoring.
4
Gradual Scaling
Progressively increase AI autonomy based on proven performance and risk assessment.
Low Risk
AI decisions under $500 impact, routine optimizations, standard report generation
Medium Risk
Budget adjustments $500-$5,000, customer communications, campaign modifications
High Risk
Strategic decisions over $5,000, brand-sensitive content, legal commitments