AI Advisory for FP&A
An AI advisory project aimed at enhancing the FP&A function of a digital bank was focused on effectively integrating AI into financial planning and analysis. The initiative involved identifying use cases, assessing technical and risk feasibility, designing solution architecture, and modeling costs, while ensuring compliance with data preparedness, regulatory requirements, and the potential for measurable financial returns.
Key actions included:
- Identifying and prioritizing AI use cases in areas such as forecasting, budgeting, variance analysis, and financial reporting.
- Assessing the availability of data, feasibility of models, and regulatory requirements, and developing strategies for risk mitigation and governance.
- Designing the intended architecture, which encompassed data pipelines, model layers, system integrations, and oversight mechanisms.
- Establishing the solution's cost structure and pricing to align with scalability and expected ROI.
As a result, a prioritized and technically feasible AI roadmap for the FP&A function was developed.