On-Demand Risk/Product Score: 3.1/5.0

New Product Approval Risk Assessment

On-Demand Knowledge Work | Internal audience

The Problem

Banks launch new products regularly (new credit product, new payment service, new investment vehicle, new customer segment). Regulatory requirement: comprehensive risk assessment before product launch. Current process: product team submits product specification; risk committee gathers: product design details, target customer segment, risk taxonomy applicability (credit, market, operational, reputational), regulatory requirements, pricing/profitability model, competitive landscape. Risk team manually maps product to risk domains, identifies regulatory requirements, generates preliminary risk assessment. Time to complete: 10-20 hours of risk team effort over 2-4 weeks. Process is often bottlenecked by risk team availability and product team's late risk documentation. Products sometimes launch with incomplete risk assessment, creating downstream regulatory risk.

What the Agent Does

Data Requirements

Data Sources:

Data Classification:

Data Quality Requirements:

Product specification completeness: 95% (some details may be incomplete during early stages). Risk taxonomy consistency: 100% (taxonomy must be stable and well-documented). Regulatory database freshness: quarterly updates to reflect regulatory changes. Historical product data completeness: 80%+ (some legacy products may have incomplete records). Capital model accuracy: 100% reconciliation with regulatory capital calculations.

Integration Complexity: Medium , Requires access to product specification forms (may be in SharePoint, Jira, custom system). Risk taxonomy maintenance (may be manual or in PolicyTech system). Regulatory database integration (requires regular updates from regulatory agencies). Capital model integration (may require direct integration with risk modeling systems or APIs). Product lifecycle tracking (may require integration with project management tool). Output is primarily informational support for human risk committee review (lower automation complexity than decision-making use cases).

Score Breakdown

Criterion Weight Score (1-5) Weighted
Time Recaptured 15% 3 0.45
Error Reduction 10% 3 0.30
Cost Avoidance 10% 2 0.20
Strategic Leverage 5% 5 0.25
Data Availability 15% 3 0.45
Process Clarity 15% 3 0.45
Ease of Implementation 10% 2 0.20
Fallback Available 10% 5 0.50
Audience (Int/Ext) 10% 5 0.50
Composite 100% 3.10

Why It Scores Well

Details to be provided.

Regulatory Alignment

Sprint Factory Fit

4 build sprints (low frequency, requires senior governance involvement)

Build Sprints 1-4: Risk taxonomy maintenance, regulatory database integration, product specification parsing, risk assessment template design, product lifecycle tracking, governance documentation

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