AI Strategy & Portfolio Management,
> Define strategic AI themes aligned with the Bank’s priorities.
> Identify, assess, and prioritize AI opportunities across Business Units.
> Maintain the enterprise AI portfolio and prioritization framework.
> Recommend appropriate delivery paths and investment decisions.

Value Realization & Agentic AI Economics,
> Develop business cases, value hypotheses, and success metrics for AI initiatives.
> Track business outcomes including productivity, revenue, customer experience, risk reduction, and efficiency.
> Evaluate where AI agents and agentic workflows create sustainable value.
> Monitor AI economics, including implementation costs, operating costs, human oversight effort, and realized business benefits.
> Establish executive dashboards and portfolio reporting.

Use Case Discovery & Transformation,
> Convert business pain points into AI use cases and transformation opportunities.
> Identify workflow redesign opportunities enabled by AI and automation.
> Partner with Business Units to build AI-enabled transformation roadmaps.

Market Intelligence & Benchmarking,
> Monitor AI, GenAI, and agentic AI trends.
> Benchmark industry practices and identify emerging opportunities.
> Provide strategic recommendations to senior management and AI Council.