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Common questions from engineering leaders, security teams, and operations stakeholders evaluating GreenLightz.
GreenLightz evaluates every commitment your AI agents make — refunds, discounts, delivery promises, warranty extensions — against your company's policies in real-time. It returns a verdict (ALLOW, REQUIRE_APPROVAL, or BLOCK) before the commitment takes effect.
The governance engine is fully deterministic — rule-based, not ML-based. Same input plus same policy equals the same verdict, every time. No LLM or AI model is involved in any governance decision. This makes verdicts reproducible, auditable, and explainable.
Nine built-in commitment types: refunds and credits, discounts and offers, delivery promises, subscription extensions, SLA commitments, data handling pledges, support response commitments, policy exceptions and overrides, and goodwill remedies. Each is evaluated against per-action-type ceilings, aggregate thresholds, and velocity patterns.
The system is fail-closed. Any error — network, storage, or internal — results in BLOCK or REQUIRE_APPROVAL. Your AI agent never gets a false ALLOW due to a system failure.
Designed for sub-millisecond evaluation overhead. P99 under 1 millisecond in our benchmarks. We measure the actual impact in your environment during the pilot.
No. The core evaluation engine has zero external runtime dependencies. It works fully offline — no LLM calls, no third-party APIs, no network dependencies in the evaluation path.
Yes, when advanced governance is enabled for your tenant. If your agent platform provides structured conversation signals — such as urgency indicators, manipulation scores, or escalation patterns — GreenLightz evaluates them deterministically alongside the commitment itself. High-risk conversational patterns automatically escalate the verdict. By default, the engine evaluates financial thresholds, velocity patterns, aggregate exposure, and repeat-pressure detection. Advanced signal evaluation is enabled during pilot setup when needed. No LLM is used in any evaluation path — all evaluation is fully deterministic and sub-millisecond.
One API endpoint. Your AI agent sends a POST request with the action details before executing. GreenLightz responds with a verdict. Any language that speaks HTTP can integrate — no SDK or agent framework lock-in required.
Typical integration takes 1-2 days. Most teams wrap the API call in a single helper function. We provide JSON Schema contracts and TypeScript type definitions for code generation.
Requests containing PII metadata keys — email, phone, SSN, card numbers, and 7 other patterns — are rejected with HTTP 400 before reaching the evaluation engine. Use opaque identifiers instead.
All identifiers are SHA-256 hashed with per-tenant HMAC keys before storage — non-reversible. No PII is ever stored. Evidence packets are cryptographically signed and tamper-evident.
Over 8,300 governance test cases across multiple suites — policy evaluation, disclosure governance, operational readiness, integration contracts, and end-to-end simulation. Every test is CI-gated. No deployment ships without a full green run.
The system has undergone comprehensive internal security hardening — including a 10-plane security audit across 93 hardening iterations with zero unresolved critical or high-severity findings. External third-party audit is in planning. We can discuss our security architecture in detail under NDA.
Typically 2-4 weeks. Setup takes 1-2 hours on Day 0. Week 1 runs in shadow mode (evaluate but don't block). Weeks 2-3 run in live mode with real governance. A structured review session closes the pilot.
Starting at $3,000 for a 4-week pilot engagement. Includes shadow mode, live governance, structured review, and a full evidence report. Final pricing depends on evaluation volume and scope — we'll confirm during the demo call.
Yes. Start in shadow mode — GreenLightz evaluates in parallel but doesn't block your agents. You see what would happen without any impact on live operations. Switch to live governance when you're ready.
30-minute demo. We'll walk through the product, answer your specific questions, and discuss how GreenLightz fits your use case.
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