What the Readiness Review Is
The Calyx Intelligence Readiness Review is an independent, architecture-level evaluation of whether an AI system is safe, defensible, and operationally governable in real-world deployment.
As artificial intelligence moves out of experimentation and into environments where decisions carry legal, financial, regulatory, or safety consequences, the primary risk is no longer model accuracy — it is loss of control.
Most AI systems can generate outputs.
Few can clearly establish:
• Who authorized an action
• Under what authority it occurred
• What data and contextual signals influenced the decision
• Where human judgment intervened (or should have)
• How outcomes can be reconstructed, explained, or defended later.
The readiness review evaluates these questions before deployment, not after an incident.
The assessment examines governance, provenance, human oversight, infrastructure control, and evidence generation across the full decision lifecycle — from data intake and orchestration through execution and record retention.
The outcome is a clear, system-level view of where operational risk exists, what controls are missing or implicit, and what changes are required to make the deployment defensible in regulated or high-consequence environments.
What This Is Not
This review is not a penetration test, a compliance checklist, or a model performance evaluation.
It does not assess prompt quality, fine-tuning strategies, or vendor marketing claims.
It is an architectural and operational review focused on decision authority, accountability, and evidence.
How the Review Is Used
Organizations use the readiness review to:
• Identify governance gaps before production deployment
• Prepare for regulatory, legal, or insurance scrutiny
• Support board-level risk discussions with concrete findings
• Establish a defensible baseline for AI operations
• Inform go / no-go deployment decisions
The review is vendor-agnostic and does not require adoption of Calyx Intelligence software.
If you are evaluating or deploying AI in an environment where failure would require explanation, accountability, or defense, this review is designed for you.





