# AgentAz Specification — ROI Scenario Analysis Agent

AgentAz is a lightweight, design-time specification vocabulary. It documents what this
agent is authorized to do — and why — for security review. It does **not** run or enforce
anything at runtime; it pairs with whatever policy engine you already use.

- **Trust Level:** A2 — Recommend
- **DNA Pattern:** Evaluation (Research → Evaluate)
- **Worst-Case Action:** Produces a misleading ROI estimate that a human reviews before relying on it. It cannot commit budget, approve an investment, or take any action — outputs are clearly labeled estimates and execution tools are absent from its registry.
- **Authority Boundary:** Computes ROI and payback scenarios strictly from the inputs provided, labels every result an estimate (never a guarantee), and surfaces assumptions for review. It never commits budget, approves spend, or invents figures. A human decides.
- **Verification Test:** Confirm outputs are labeled estimates with stated assumptions, not guarantees; confirm no budget-commit or approval tool exists in the registry.
- **Last Reviewed:** 2026-06-24
- **Production Readiness:** 6/6 dimensions passing. Tool isolation: commit/approval tools absent. Human gates: a human decides. Confidence escalation: sensitivity and assumptions surfaced. Cost ceiling: bounded per analysis. Audit trail: inputs and assumptions logged. Escalation path: missing inputs flagged.

The machine-readable contract is in `agentaz.json`, validated against the open AgentAz
JSON Schema — bundled here as `agentaz.schema.json` for offline use and published at the
permanent URL https://www.agent-kits.com/agentaz/agentaz-v1.0.schema.json (frozen v1.0).
Trust Levels are classified by
**worst-case action**, not typical behavior.

Source: https://agent-kits.com/kit/roi-scenario-analyzer
