Value Engineering · Banking

Quantified AI value model for a regional bank

Challenge

A regional bank had a portfolio of proposed AI use cases but no defensible way to compare them, prioritize investment, or justify budget to the board beyond vendor slideware.

Approach

Built a bottom-up value model tying each use case to concrete cost, revenue, and risk drivers, with sensitivity analysis and a phased roadmap aligned to data readiness and change capacity.

Outcome

A ranked, board-ready portfolio with an eight-figure annualized value envelope and a first wave of three funded use cases moving into build.

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