Model Package Review Assistant
Purpose
The Model Package Review Assistant accelerates model review by assessing whether a submitted model package is ready for validation. It identifies strengths, weaknesses, missing files, version differences, and key review priorities across documentation, data, code, methodology, outputs, and remediation actions.
Primary users
The primary users are banking and insurance modeling teams, model risk management teams, model review and validation teams, model testing teams, internal audit, clients, and Sia consultants.
Where it fits (process/stage/trigger)
It fits before and during the model review phase, especially when a new model package, updated version, opinion package, or validation deck must be assessed. It is triggered when teams need a go/no-go recommendation, package completeness check, version comparison, or committee-ready review material.
Key capabilities / workflow
The agent reviews model documentation, data documentation, datasets, code, intermediate results, model outputs, and remediation evidence. It checks file completeness, compares consecutive package versions, analyzes product and dataset context, assesses data quality, reviews code used for preparation, quality checks, statistical analysis and modeling, evaluates methodology, tracks remediation actions, and checks consistency across models with similar intent.
Inputs
Inputs include MRM frameworks, model documentation, data lineage, data dictionaries, dataset production code, model code and documentation, input datasets, parameters, expert judgment, scenarios, intermediate results, model outputs, previous package versions, remediation actions, and opinion package materials.
Outputs / Deliverables
Outputs include a go/no-go recommendation, file inventory and missing file list, version difference analysis, product and business process questions, data quality review questions, code review observations, methodology assessment, remediation follow-up questions, inconsistency checks, opinion package consistency report, updated opinion package, and validation committee presentation deck.
Value
The agent reduces model review effort, accelerates identification of key pain points, improves consistency of validation preparation, supports comparison across models and versions, and helps teams build review dashboards covering documentation quality, data quality, code quality, and methodology robustness.