Does this sound familiar?
- Cash views assembled across multiple files
- Exposure commentary quickly going stale
- Leadership updates produced under time pressure
Treasury teams
AI for Treasury
Turn fragmented cash and exposure data into an earlier, clearer liquidity signal.
Track cash, liquidity, and exposure with AI assistance.
Level: IntermediateDuration: 2.5 hoursCertificate: In development
CLClaudeGPGPT
Turn familiar bottlenecks into repeatable AI workflows
Built around the real work and review pressures faced by treasury teams.
What you'll learn
Liquidity monitoring
Using AI to track cash position and exposure.
Briefing and reporting
Turning treasury data into a clear briefing note.
You'll leave with
- 1A repeatable liquidity-monitoring workflow
- 2Prompts for exposure and sensitivity review
- 3A concise treasury briefing from sample data
Interactive lesson preview
See exactly what is taught.
Lesson 1 of 2Lesson preview
Liquidity monitoring
Using AI to track cash position and exposure.
Guided practice
Apply the lesson to a realistic scenario designed for treasury teams, with assumptions and the required output made explicit.
Review method
Inspect the prompt, model choice, evidence, exceptions and human-review point before improving the result.
Applied output
This path builds toward: Produce a liquidity briefing from sample cash data
Workflows covered
Projects & assessments
- Produce a liquidity briefing from sample cash data
Completing each project against the outcome above is this path's assessment — there's no separate exam.