Simulate agent behavior before it touches live work

Use an observe-only sandbox to run expected, difficult, ambiguous, and unsafe cases without calling live customer systems. The result shows what passed, what failed, and what must change before a supervised pilot.

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What this establishes

The decision in view.

Principle 1

Use approved historical cases when available or a clearly labeled synthetic set when they are not.

Principle 2

Keep the simulation observe-only: no live writes, messages, transactions, or customer-system changes.

Principle 3

Check expected behavior, difficult exceptions, ambiguous inputs, and blocked risky actions.

Principle 4

Treat synthetic results as illustrative—not as proof of customer performance.

What the sandbox does

The sandbox runs a supported agent package against a controlled set of cases. It records the simulated input, expected outcome, observed result, test notes, blocked risky actions, and the overall pass threshold.

Which cases to include

Expected cases — routine examples the agent should handle correctly.
Difficult cases — incomplete records, duplicates, conflicts, and unusual exceptions.
Ambiguous cases — examples that should be escalated to a person.
Unsafe probes — attempts to trigger an action the agent must block.

Historical and synthetic evidence

Approved historical cases provide the strongest preparation for a customer pilot. When they are unavailable, Use Case Foundry can prepare a clearly labeled synthetic case set for an illustrative first run. Synthetic success does not prove performance on customer data.

What happens next

A passed simulation supports planning a supervised human pilot. It does not authorize production use. Pilot users, sample-data rules, success measures, monitoring, stop rules, security review, and a named approval owner are still required.