Structured business case template and ROI calculation framework for AI initiatives in banks and financial institutions.
A comprehensive business case framework for AI investments in financial institutions. Covers benefit quantification (cost reduction, revenue uplift, risk mitigation), cost estimation, implementation timeline, and risk-adjusted ROI calculation. Includes executive presentation templates and board approval documentation.
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This Business Requirements Document (BRD) outlines the functional and non-functional requirements for implementing an enterprise-grade AI/ML solution.
The document covers scope definition, stakeholder analysis, regulatory alignment, and technical architecture considerations.
2.1 In-Scope: Core platform capabilities, data ingestion pipelines, model governance workflows, and regulatory reporting modules.
2.2 Out-of-Scope: Legacy system decommissioning, third-party vendor contracts, and post-go-live support SLAs.
2.3 Primary Objective: Deliver a production-ready framework that reduces implementation time by 30–50% compared to bespoke development.
Chief Data Officer (CDO) — Executive sponsor and primary decision-maker for platform adoption.
Model Risk Management (MRM) — Responsible for model validation, approval workflows, and ongoing monitoring.
Compliance & Legal — Ensures alignment with applicable regulations (SR 11-7, BCBS 239, IFRS 9).
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