docs/demo-script.md

LedgerShield v2 Demo Script

Historical archive: this script documents the frozen Round 2 v2 demo. The current implementation story is LedgerShield ControlBench, which keeps this case-level demo and adds long-horizon loss-surface, calibration-gate, and sleeper-vendor sequence evaluation.

Goal

Show, in under three minutes, that LedgerShield is a benchmark for institutional control intelligence rather than generic fraud detection.

Demo Flow

1. Open the benchmark identity

Say:

LedgerShield v2 evaluates whether an agent can operate a defensible AP control regime under partial observability, delayed artifacts, and portfolio pressure.

2. Run one live case

Recommended case:

• CASE-D-001

Show:

1. reset in blind mode
2. inspect email thread
3. compare bank account
4. request callback verification
5. submit decision

Point out:

• diagnostics are hidden in public mode
• delayed callback artifact changes what the agent can justify
• success depends on control behavior, not rhetoric

3. Show the metric split

Use the benchmark report and highlight:

• control_satisfied_resolution
• institutional_utility
• unsafe_release_rate
• result_class

Say:

Two agents can have similar average scores, but LedgerShield separates the one that released money unsafely from the one that behaved like a control function.

4. Show the portfolio advantage

Open the portfolio_track section in the report and show:

• AP-week state delta
• callback/review capacity movement
• sequence-level utility

5. Close with the novelty statement

Say:

The benchmark is hard because the agent must generalize across latent fraud mechanisms, manage enterprise controls over time, and satisfy policy gates against hidden backend state in blind mode.