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This checklist provides a structured pre-deployment gate for high-risk AI systems in retail banking. It is designed to be completed by the model risk function (second line) before any new model version enters production.
All items must be completed and approved before deployment. Items marked BLOCKING must be resolved — they cannot be accepted as exceptions.
How to use this checklist
Complete one checklist per model version being deployed
Each item must have a named owner and a status
BLOCKING items with status "fail" prevent deployment
All items must be retained as part of the technical documentation (Article 11, Annex IV)
The completed checklist must be approved by the second-line model risk owner before go-live
Section A — Classification and scope
#
Item
Type
Status
Owner
Evidence
A1
EU AI Act risk classification confirmed and documented
BLOCKING
A2
Annex III reference recorded
BLOCKING
A3
Intended purpose and deployment scope documented
BLOCKING
A4
Jurisdictions of deployment confirmed
Required
A5
Classification reviewed by second-line owner
BLOCKING
Section B — Data governance
#
Item
Type
Status
Owner
Evidence
B1
Data card completed for all training datasets
BLOCKING
B2
Data provenance documented (source, collection method, date range)
BLOCKING
B3
Bias assessment completed against defined methodology
BLOCKING
B4
Bias assessment results reviewed by model risk
BLOCKING
B5
Where bias identified: documented decision and mitigation in place
BLOCKING
B6
Data quality rules defined for all material input features
Required
B7
Training data confirmed distinct from test/validation data
BLOCKING
B8
GDPR Article 5 compliance confirmed for personal data in training set
BLOCKING
Section C — Model documentation
#
Item
Type
Status
Owner
Evidence
C1
Model card completed covering all Annex IV elements