COURSE · PHASE 3
Mastering the AI Initiative Cycle
This 2-day workshop is designed for senior leaders in banking who need to initiate, plan, and implement AI initiatives. It emphasizes strategic decision-making, governance, and execution through real-world scenarios, interactive case studies, and practical frameworks. A six-phase framework covers the AI initiative lifecycle, including aligning AI with business strategy, identifying and governing data assets, preparing data, overseeing development, testing systems, and operationalizing and governing AI.
FROM THE CURRENT BROCHURE
Know what the experience covers before you download.
These highlights are drawn from the current approved course brochure and are designed to support an informed first conversation.
COURSE HIGHLIGHTS
The capabilities and outcomes in focus.
- 01
Identify and prioritize high-value AI opportunities in banking
- 02
Lead cross-functional teams through the complete AI Initiative Cycle (Phases I–VI)
- 03
Make informed decisions on data, technology, and vendors
- 04
Establish governance and risk controls that meet regulatory expectations
- 05
Drive AI initiatives that deliver measurable business outcomes
WHAT YOU'LL EXPLORE
A clear route through the key topics.
- 01The Strategic Imperative for AI in Banking
- 02Matching AI with Business Needs
- 03Identifying Data Needs for AI Initiatives
- 04Managing Data Preparation
- 05Iterating Development and Delivery
- 06Testing & Evaluating AI Systems
- 07Operationalizing and Governing AI
- 08Action Planning & Leadership Roundtable