Interactive PDCA Cycle Simulator
Walk through a complete SOAI-PDCA cycle with a fictional AI system and see how the 33-Agent Council provides recommendations at each phase.
AI-powered medical symptom checker and health advisor
Applicable Frameworks:
Scale:
500,000 monthly active users
Define objectives and establish safety requirements
HealthBot AI is a medical symptom checker used by 500,000 patients monthly. Recent user feedback indicates potential bias in diagnostic suggestions for certain demographics.
- Document AI system scope and boundaries
- Conduct comprehensive risk assessment
- Map applicable regulatory frameworks (EU AI Act, HIPAA)
- Identify potential bias and fairness issues
- Define success criteria and KPIs
- Establish baseline compliance requirements
Democratic consensus from 33 AI agents across multiple providers (OpenAI, Anthropic, Google, Meta, and more)
🤖 33-Agent Council Analysis: "High-risk medical AI system requires enhanced oversight under EU AI Act Article 6"
🔍 Bias Detection: "Recommend demographic fairness audit across age, gender, ethnicity, and socioeconomic factors"
📊 Risk Priority: "Focus on diagnostic accuracy disparities (Critical), data privacy (High), and explainability (High)"
✅ Compliance Gap: "HIPAA compliance verified. EU AI Act conformity assessment required before deployment in EU"
- Diagnostic bias leading to health disparities
- Privacy violations of sensitive health data
- Lack of explainability in medical recommendations
- Regulatory non-compliance in multiple jurisdictions
- ✓ Risk Assessment Matrix completed (12 risks identified)
- ✓ Compliance requirements mapped to 3 frameworks
- ✓ Implementation roadmap approved (16-week timeline)
- ✓ Stakeholder sign-off obtained