1. AI Use Cases

AppReclaim uses AI to enhance analysis and provide actionable insights. AI features include:

• Usage Summaries: AI-generated plain-language explanations of license utilization patterns and trends
• Idle Seat Detection: AI-assisted identification of users with 30/60/90-day inactivity across connected platforms
• Downgrade/Reclaim Suggestions: Recommendations for license optimization based on usage analysis and cost savings potential
• Duplicate Tool Detection: Identification of overlapping SaaS functionality across your software portfolio
• Health Scoring (MSP Partners): Automated scoring of client tenant health based on multiple factors including license efficiency, platform coverage, and savings realization
• Renewal Talking Points: AI-generated negotiation insights and data points for vendor contract discussions
• Smart Recommendations: Proactive suggestions for cost savings and optimization opportunities
• Report Insights: AI-powered executive summaries and insights included in PDF and PowerPoint reports
• Industry Benchmarking: AI-generated comparisons of your license efficiency against industry standards

2. What AI Does Not Do

AI in AppReclaim is advisory only. It does not:

• Execute any tenant changes (reclaim, downgrade, disable) without explicit human approval
• Override your organization's security policies or RBAC settings
• Access data beyond what you've authorized through OAuth integrations
• Make autonomous decisions about license actions
• Share your data with other customers or use it to train models

3. Execution Model

All actions in AppReclaim follow a deterministic execution model:

• AI Recommends: AI analyzes data and surfaces recommendations
• Human Reviews: Your admins review recommendations in the dashboard
• Human Approves: Explicit approval required before any action executes
• System Executes: Deterministic connectors execute approved actions via official APIs
• System Logs: All actions are recorded in audit logs with actor, timestamp, and result

4. Data Handling

• Minimized data sent to third-party AI providers (where used)
• No training of public AI models with Customer Data
• Data processed in accordance with Privacy Policy and DPA
• AI inputs limited to aggregated usage metrics and license data

5. Oversight & Auditability

• All AI recommendations logged with context and reasoning
• Approval workflows required for all execution actions
• Complete audit trail available in dashboard and exportable
• Restore paths available where supported by underlying platforms
• Grace periods for soft-delete operations where applicable

6. Contact

Questions about AI usage? Contact legal@appreclaim.com