Compare John's four proprietary AI frameworks side by side. Filter by use case, compare features, and find the right framework for your enterprise AI deployment.
Auditable Architecture
A five-layer framework for agent accountability in enterprise environments.
Capability Progression
Five rungs from chatbot to autonomous agent, with clear criteria for when to advance and when to hold.
Regulated Deployment
Purpose-built for deploying AI in healthcare, finance, and government with maximum safety.
Temporal Oversight
Layered control for different decision timeframes—from milliseconds to hours.
| Feature | ATLAS Model | SAFE Stack |
|---|---|---|
| Purpose | Auditable Architecture | Regulated Deployment |
| Maturity Level | Emerging to Advanced | Developing to Advanced |
| Time to Implement | 3-6 months | 4-8 months |
| Complexity | Medium-High | High |
| Team Size | 10-50+ people | 20-100+ people |
| Key Benefit | Complete accountability chain for AI agent decisions | Maximum safety guarantees for regulated AI deployments |
| Capabilities | ||
| Audit Trail | ||
| Real-Time Monitoring | ||
| Compliance Reporting | ||
| Agent Governance | ||
| Risk Assessment | ||
| Scalability Focus | ||
| Regulatory Compliance | ||
| Autonomous Oversight | ||
| Temporal Control | ||
| Fallback Systems | ||
| Capability Progression | ||
| Human Escalation | ||
| Target Industries | ||
| Industries | Financial ServicesHealthcareGovernmentTechnology | HealthcareFinancial ServicesGovernmentDefense |
| Framework Layers | ||
| Components | Audit Trace Limit Alert Stop | Segregation Audit Fallback Escalation |
Auditable Architecture
Best for:
Capability Progression
Best for: