A service-level agreement (SLA) is a documented commitment between a provider and a customer that defines the level of service promised and how it is measured. In customer support it sets the targets a team is held to: first response within X minutes, resolution within Y hours, by channel and by priority.
An SLA usually pairs a target with a measurement window and a consequence. A target might be a first response inside 30 minutes for high-priority tickets. The measurement window defines business hours and excludes weekends or holidays. The consequence might be an internal escalation or a contractual credit if the target is missed. Good SLAs are specific by channel and severity, not a single blanket number, because a chat reply and a billing dispute are not the same promise.
Aide, the agentic AI platform for customer experience, treats the SLA as a quality floor, not a speed contest. Aide clears the high-frequency requests within the clock so the hard cases get time, not pressure. Automation acts only on intents it has been verified to resolve correctly; everything else routes to a person with the time to handle it well. The goal is meeting the SLA because the work is sorted, not because everyone is sprinting.
Frequently asked questions
- What is the difference between an SLA and a KPI?
- An SLA is a promised target a team is accountable for, often contractual. A KPI is a metric the team tracks to manage performance. An SLA is usually a KPI with a commitment and a consequence attached.
- How does AI affect SLA performance?
- AI can absorb high-volume, repetitive requests on digital channels so response and resolution times improve without adding headcount. The caveat is that it should only act on intents it resolves correctly, so speed never comes at the cost of accuracy.