AI Vendor SLA & Reliability Checklist
Most AI vendor contracts get reviewed for price, not for these terms.
An AI vendor contract reviewed only for price and headline uptime percentage misses the terms that determine real operational risk: whether the vendor can silently swap the underlying model, whether your data is used for training without explicit terms, whether a wrapped third-party model dependency is disclosed, and what happens to your data if you leave. This checklist scores 10 concrete, weighted contract and operational practices that a careful AI vendor review should specifically check, beyond what a standard SaaS SLA review typically covers.
- →Scores model-change notice and subprocessor/downstream-model disclosure specifically
- →Checks data retention and training-use terms as contractual, not just privacy-page claims
- →Includes exit and data-portability terms most SLA reviews skip
- →Covers independent uptime monitoring separate from trusting the vendor's own status page
- →Watermarked by Cikal Studio Labs · Works on any device, no install required
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