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Common Compliance Questions
Q: What is an AI SLA?
A commitment between a service provider and a client regarding AI performance metrics.
Q: How to measure AI uptime?
Focus on API availability, response latency, and successful completion of tokens.
Q: Do AI services have 99.9% uptime?
Some do, but many include clauses for scheduled maintenance of GPU clusters.
Q: What is latency in AI SLAs?
The time it takes for a model to generate a response after receiving a prompt.
Q: How does token counting affect pricing SLAs?
SLAs must define cost limits based on input and output tokens to prevent billing surprises.
Q: Should an SLA cover model hallucinations?
SLA performance targets rarely guarantee factual accuracy, but they may cover service uptime.
Q: What is service credits in AI SLAs?
Refunds or credits given to clients if the AI service fails to meet agreed uptime.
Q: How do you handle API deprecation in SLAs?
Provide a notice period (e.g., 90 days) before retiring older AI model endpoints.