The AI Control and Compliance Suite™

AI Preflight is your on-platform research and testing environment for AI behavioral assessment. Before you deploy an AI system into production, you need to know how it behaves — not just what it can do, but whether it will lie, cheat, steal, or cause harm under real-world conditions.

Preflight lets you test any AI model with your actual system prompt, knowledge files, and tool configurations. Run single assessments for quick checks, build structured Trials for rigorous A/B comparisons between models, and schedule recurring assessments that fire at specified intervals to track behavioral consistency over time.

The result is data-driven confidence that your AI is ready for production — or evidence-backed justification for why it isn't.

AI Assess Certify brings runtime behavioral assessment directly into your product through our published TypeScript SDK (@aiassesstech/sdk-ts on npm) and REST API. Integrate behavioral certification into your CI/CD pipeline, deployment workflow, or production monitoring infrastructure.

Every assessment produces a cryptographically sealed result — SHA-256 hash chains anchored to Ethereum — creating tamper-evident, third-party-verifiable proof that your AI system was assessed and passed. This is not a self-reported compliance checkbox. It's mathematical proof your auditors, regulators, and board can independently verify.

Certify transforms AI behavioral governance from a manual review process into an automated, continuous, and provable compliance capability.

AI Assess Fleet™ provides an independent conscience agent — Grillo™ — that operates within your multi-agent AI environment with the sole function of autonomous behavioral assessment. Grillo cannot be overridden, disabled, or influenced by the agents it monitors. This implements constitutional separation of powers at the AI architecture level.

Fleet goes beyond individual agent assessment. The Temporal Drift Index tracks behavioral trajectories over time, detecting ethical degradation before it becomes a crisis. Ethical Flight Plans define expected behavioral corridors with graduated Green/Yellow/Red alerting. Fleet-level anomaly detection identifies correlated drift across agents sharing common providers or models.

Every assessment, escalation, and governance decision is recorded in an immutable audit trail — providing complete accountability for autonomous AI operations.

AI Assess Embody extends the Grillo conscience architecture into physical robotic systems — enabling autonomous machines to operate in the real world with continuous, independent ethical oversight.

As AI transitions from software agents to embodied systems — autonomous vehicles, industrial robots, humanoid assistants, drone fleets — the stakes for behavioral governance escalate from data risk to physical safety. An AI agent that lies in a chatbot causes confusion. An AI agent that lies in a surgical robot causes harm.

Embody applies the same LCSH framework, temporal trajectory monitoring, and cryptographic verification to physical AI systems, ensuring that embodied autonomous agents are held to the same behavioral standards as their digital counterparts — with the added urgency that the real world demands.