BANK AI TRANSFORMATION
AI Strategy → Implementation
Train the decision sequence. Start with the business problem, recognize the reusable pattern, define the common capabilities, then map architecture and technology.
Business problem→
AI pattern→
Capability→
Architecture→
Controls→
Roadmap
Recognize patterns
Collapse many banking use cases into a small set of reusable AI patterns.
02Bank use cases
Practice mapping business problems to one or more patterns.
03Strategy canvas
Structure a transformation idea from objective through KPIs and horizon.
04Prioritize
Score value, feasibility, data readiness, reuse, risk, and integration complexity.
05Roadmap
Sequence Assist → Integrate → Transform while platform controls mature.
MENTAL MODEL
Six reusable AI patterns
01 Knowledge & Research
Users repeatedly search policies, procedures, prior cases, research, or approved knowledge.
02 Data Investigation
An analyst asks why a metric changed, where a value came from, or what is driving an exception.
03 Document Intelligence
The process depends on extracting, validating, and interpreting information from documents.
04 Investigation / Case Management
An alert or case requires gathering evidence from several systems before a recommendation is made.
05 Controlled Content Generation
A recurring output must be drafted from approved data and knowledge in a controlled format.
06 Agentic Workflow
The objective requires multiple steps, dynamic tool choice, iterative reasoning, and controlled execution.