Responsibility Model (Vendor, Customer, User)
How responsibility is distributed for effective and safe AI rollout
Effective AI only works when responsibility is clear across the full value chain.
Vendor responsibility
- secure platform baseline and operating standards
- clear configuration for roles, access, and policies
- transparency on integrations, data flows, and limits
Customer responsibility
- enforceable AI policies and internal governance model
- clear decision on allowed use-cases per function
- training and enablement process for all user groups
User responsibility
- follow policies in daily work
- critically review outputs (do not accept blindly)
- avoid uncontrolled automation in sensitive decisions
Practical principle
- technology alone does not solve compliance
- governance without enablement is not adopted
- enablement without guardrails scales risk