What this demo is about

Browser-based hands-on exercise for treasury modernization and liquidity visibility (Session 1).

Learning objectives

• Explain the main treasury decision that Treasury Control Tower is designed to support.
• Use Stress Scenario, Enable AI Insights to test how different assumptions change the scenario.
• Interpret ai Insight in plain language and connect them to an action or conclusion.

Run mode and expectations

• Supported modes: Browser
• Starts immediately in browser with no installs, no API keys, and classroom-safe defaults.

Step 1: Inputs

• `Stress Scenario` changes one part of the scenario; increase or decrease it deliberately and watch how the output shifts.
• `Enable AI Insights` changes one part of the scenario; increase or decrease it deliberately and watch how the output shifts.

Step 2: Decision buttons

• `Reset` returns the demo to a known starting state so students can begin a fresh comparison.
• `Compare Scenarios` is the main action that computes, compares, or generates the next result from the current inputs.
• `Export Results` saves the current result so learners can document evidence or compare scenarios later.

Step 3: Outputs and what to notice

• `ai Insight` should be read as evidence for the decision, not just a display element. Ask what high, low, or changing values imply.
• Look for cash position, forecast gap, stress scenario, and recommended action
• Observe how liquidity changes when inflows fall, outflows accelerate, or reserves are stressed