RAISEF
Case Study 1: AI-Driven Healthcare Diagnostics
End of Life/Decommisioning
Retire or replace the system safely, transparently, and with care for people and data
Plan the shutdown, archive or delete appropriately, notify stakeholders, and capture lessons for successors.
End of Life/Decommissioning turns off capability while preserving trust. Teams confirm ownership and approvals, record a final risk and performance snapshot, and execute data handling as designed, including minimization, lawful retention, archival, or deletion. Users and affected parties are informed about timing, impact, and support options. Access keys are revoked, models and dependencies are frozen, and integrations are unwound with fallback paths in place. Evidence packs are produced for audit, including artifacts linked to RAISEF drivers, outstanding issues, and recommendations for future designs. A clean shutdown protects people, respects commitments, and prepares the ground for safer replacements.
