Case Study # 2 - Multi-Stakeholder Government Platform

KEY POINTS

Challenge: How do you design one AI system for completely different user types?
Design Thinking Focus: Define + Ideate phases
Key Insight: "Government AI success requires designing for the organization, not just the individual"

Multi-Role Interface Design

Tailored dashboards for different users and responsibilities

role-based design:

• Operators—Simple, action-focused interface
• Analysts—Data-rich analytical tools
• Managers—High-level metrics and oversight
• Administrators—System control and security

Design strategy:

Each role sees only relevant information and controls, reducing cognitive load and improving security.

Security Layer Visualization

Role-based access control, data sensitivity, and compliance monitoring

security principles:

• Least Privilege—Users only see what they need
• Data Classification —Clear sensitivity indicators
• Audit Ready —Complete access loggins

government requirements:

Government AI systems must meet strict security standards including FISMA compliance, data classification, and comprehensive audit trails.

System Integration Map

How AI connects with legacy systems, external APIs, and data sources

integration strategy:

• Legacy Bridge—Seamless connection to existing systems
• API Management —Monitor health and rate limits
• Real-time Sync —Live data updates and offline support

Enterprise considerations:

Government systems must integrate with decades-old infrastructure while maintaining security and reliability standards.

design insights:

• Visual system health indicators

• Clear error handling workflows

• Offline capability planning

• Performance monitoring integration