CT Labs guides AI deployment from design to rollout planning. We define deployment patterns, evaluation, monitoring, and governance to ensure AI and agentic workflows operate reliably at scale.
Batch, asynchronous, real-time, and human approval loops aligned to workflow needs.
Identity and access management, data pipelines, tool integrations, and audit logs.
Multi-model consulting guidance for routing, caching, and cost control.
Quality metrics, regression testing, alerting, and error taxonomy.
Policy checks, approval steps, role-based access, and incident readiness.
Staged rollout, training, adoption metrics, and feedback loops.
Share the workflow, integrations, and reliability targets. CT Labs replies with a deployment planning outline and recommended next steps.
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