https://taxonomy.eticas.ai/risk/deployment-sustainability
Maturity: emerging
The organisation lacks the capacity for ongoing operation, maintenance, monitoring, and improvement of the AI system after initial deployment. Includes vendor lock-in risk, dependency on external expertise, and unclear cost-effectiveness or value proposition.
This subcategory is emerging. It has not yet been validated through established assessment methods.
System type: ADM and LLM systems
Lifecycle stages: Post Processing
| Framework | Reference |
|---|---|
| ISO/IEC 42001:2023 — AI Management System | A.10 Third-party and customer relationships |
| NIST AI 600-1 — Generative AI Risk Profile | Value Chain and Component Integration |
| Framework | Reference |
|---|---|
| IBM AI Risk Atlas | Non-technical → Vendor lock-in / dependency on third-party model |