PHASE 06 / 06
AI and Future Finance
Use AI with provenance, review and bounded operational authority.
The academy is in its editorial foundation stage. Curriculum outlines are public; lessons are published only after source verification and human review. Editorial policy
31Published
AI for RWA Research
Use AI to assist research while keeping citations and uncertainty inspectable.
AIProvenanceResearch
What you will learn
- Trace outputs to source evidence
- Identify unsupported model assertions
32Published
Document Intelligence
Extract structured fields from documents with versioning and human verification.
ExtractionVersioningReview
What you will learn
- Map extracted fields to document passages
- Design correction and review states
33Published
AI-assisted Compliance Operations
Define assistance boundaries for sensitive compliance workflows.
ComplianceHuman reviewAuthority
What you will learn
- Separate suggestions from authorized decisions
- Define review and escalation requirements
34Published
Agentic Treasury and Asset Servicing
Model bounded automation for treasury and servicing without granting unrestricted authority.
AutomationTreasury managementServicing
What you will learn
- Constrain automated actions
- Design reconciliation and exception handling
35Published
The Future of Tokenized Securities
Evaluate possible market designs through explicit assumptions and unresolved dependencies.
SecuritiesInteroperabilityMarket structure
What you will learn
- Separate observed capabilities from forecasts
- Evaluate interoperability and institutional dependencies
36Published
Build Your RWA System
Integrate a rights model, state machine and tests into an educational system.
ArchitectureState machineValidation
What you will learn
- Specify an end-to-end educational model
- Demonstrate failure handling with deterministic tests