TULU AI Rental Platform Risk Framework
Summary: A risk and change management framework for an AI rental kiosk platform, covering operational, compliance, fraud, inventory and adoption risks.
GDPRprivacy controls
Fraudrisk treatment
Changeadoption planning
Context
The project assessed an AI-enabled rental kiosk concept where users rent items through a digital platform. The aim was to identify and treat risk before product launch.
Risk Areas
- Personal data collection and privacy compliance.
- Payment fraud, misuse and identity checks.
- Inventory mismatch, item damage and loss.
- AI decision failure or low-confidence automation.
- User trust and operational change adoption.
Recommended Controls
- Clear user consent and transparent privacy notices.
- Payment and identity validation checks.
- Inventory reconciliation controls.
- Manual escalation where AI confidence is low.
- Stakeholder communication and change readiness planning.
Outcome
The project shows how risk and change planning can be embedded into AI product design from the beginning.