AI Production Readiness
A structured assessment of whether the system is ready to move into production and what still needs to be resolved.
Skai evaluates AI and agentic systems before production, focusing on reliability, security, architecture, controls and operational readiness.
A focused review of the conditions that determine whether an AI system can move safely from development into real operations.
The assessment concentrates on the parts of an AI system that determine whether it can operate reliably inside a real enterprise environment.
A structured assessment of whether the system is ready to move into production and what still needs to be resolved.
Test workflows, model behavior, agent handoffs, tool use and failure recovery across real operating scenarios.
Evaluate data exposure, permissions, unsafe actions and common attack paths around AI-enabled workflows.
Review system boundaries, dependencies, integrations and resilience across models, APIs, data and enterprise systems.
Check approval paths, human oversight, ownership and operating controls around consequential AI actions.
Track meaningful system changes and determine when new testing or review is required after deployment.
Enterprise AI depends on the full environment around it. Models, agents, data, APIs, permissions and human approvals must work together correctly for the system to be trusted in production.
A concise process designed to identify material risks, prioritize what needs attention and support a clear production decision.
Understand the architecture, workflows and operating environment.
Set expected behavior, controls and failure criteria.
Run normal, edge and failure scenarios across the system.
Translate findings into technical and business risk.
Provide a production recommendation and prioritized actions.
Skai can independently review an AI or agentic system before deployment or assess a system already moving toward production.
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