What This Form Does

This SaaS Service Level Agreement establishes the measurable performance commitments your startup makes to enterprise and mid-market customers. Rather than vague promises of “high availability,” this agreement defines exactly what uptime means, how it is measured, what happens when targets are missed, and how service credits are calculated and applied.

The agreement covers the full SLA lifecycle: availability definitions and exclusions, response-time and resolution-time targets by severity level, measurement windows and calculation methodology, credit thresholds and caps, escalation paths, and the relationship between SLA remedies and other contractual remedies including termination rights for chronic underperformance.

Why Startups Need This

Enterprise customers will not sign a SaaS agreement without an SLA, and a poorly drafted one creates more risk than no SLA at all. Ambiguous measurement windows let customers claim credits for maintenance they were notified about. Uncapped credits turn a service-level commitment into an unlimited refund mechanism. Missing exclusions mean your SLA covers outages caused by the customer’s own infrastructure or third-party dependencies you do not control.

A well-structured SLA protects both sides: customers get enforceable commitments with real remedies, and the provider gets predictable exposure with clear boundaries around what is and is not covered.

2025–2026 Emerging Provisions

AI-Service Availability Tiers. Addresses the reality that AI/ML inference endpoints have different availability profiles than traditional SaaS features, establishing separate uptime targets and measurement for model-serving infrastructure.

Inference-Latency SLAs. Provides latency commitments for AI-powered features including p50/p95/p99 response times, token-throughput guarantees, and queue-depth limits that reflect how AI workloads actually perform under load.

Multi-Region Failover. Covers data-residency-aware failover commitments for customers requiring geographic redundancy, including recovery-time and recovery-point objectives tied to specific deployment regions.

How to Use This Template

Download the .docx file and complete all bracketed fields. The Matter Control Sheet at the top captures your infrastructure reality — current uptime track record, monitoring tooling, credit budget, and support-tier structure. Set your availability targets based on what your infrastructure actually delivers, not aspirational numbers. A 99.95% target you consistently miss is worse than a 99.9% target you consistently beat.

Pay special attention to the exclusion list — scheduled maintenance windows, force majeure, customer-caused issues, and third-party dependency failures should all be clearly carved out. Have your engineering team validate that every metric in the SLA can actually be measured by your monitoring stack before you commit to it.

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This template is provided for informational and educational purposes only and does not constitute legal advice. Consult a qualified attorney licensed in your jurisdiction before using any legal document. Montague Law provides this resource as part of the largest free open-source startup legal template library.