November 27, 2025
by Cristina Maria / November 27, 2025
Promises don’t scale, but service level agreements (SLAs) do.
When service providers grow, verbal assurances and vague expectations just don’t cut it anymore. That’s especially true for industries such as managed IT services, software as a service (SaaS), field maintenance, and cloud support, where performance issues can escalate rapidly.
That’s why SLAs exist.
The primary purpose of a service level agreement is to define service standards, clarify responsibilities, and enforce accountability between a provider and a client. SLAs prevent misunderstandings by setting measurable performance benchmarks and outlining remedies for non-compliance.
Keep reading to learn what service level agreements actually cover, how to write one that works, the most common pitfalls to avoid, and the key metrics every provider should track to stay compliant and competitive.
SLAs are service performance guardrails. A well-crafted SLA protects both the provider and the client by clearly defining, measuring, and enforcing expectations. Here’s why SLAs matter:
Both an organization and a service provider must take part in the SLA draft creation process to fully realize the benefits of an SLA.
A contract is designed to last for a year or more, while SLAs are built to be revised on a regular basis, depending on the type of service and the listed requirements. The contract can then refer simply to the agreed SLA and still be legally binding.
Everyone has a different idea about what good service looks like, but an SLA makes the voice of the customer ring loud and clear: that’s the quality standard they expect.
Although a service level agreement allows flexibility for parties to negotiate rights and responsibilities, violating it has consequences similar to breaching a contract. This is why it’s vital that service providers pay just as much attention to keeping their SLA compliance up to date.
You'll come across three types of SLAs: customer, internal, and multi-level service-level agreements. The structure of your SLA will depend on who it serves and how your services are delivered.
| Type | What it covers | Example use cases |
| Customer-based SLA | A customer SLA outlines expected service details, service availability provisions, responsibilities of both parties, an escalation matrix, cancellation terms, and penalties in the event of inability to meet SLA metrics. | A business onboarding an accounting tool may negotiate to align on expectations and service level details. Or an MSP agrees to provide 24/7 support, proactive system monitoring, and quarterly reviews for a healthcare client. |
| Internal SLA | An agreement between teams within the same organization. Helps align cross-functional responsibilities. | The IT department commits to resolving internal employee help desk tickets within 48 hours for the HR team. |
| Multi-level SLA | A layered agreement that addresses different service levels across the company, customer, or service line. | A SaaS company sets baseline support SLAs for all users, adds a premium layer for enterprise clients, and outlines per-feature support timelines (e.g., onboarding, integrations). |
Each type has its place, and in some businesses, particularly those delivering tiered service models, you may need to manage all three simultaneously.
Service level agreement components vary depending on the types of services, industries, and vendors. Below are the most common components that you'll come across in an SLA.
To enforce an SLA, you need metrics that are clear, measurable, and tied to real-world outcomes. That’s where service level indicators (SLIs) and service level objectives (SLOs) come into play.
Here are some common SLA metrics you can use:
| Metric | What it measures | Example SLO |
| Uptime % | System availability over a period | 99.95% uptime per month |
| First response time | Speed of initial reply to a request or ticket | 90% of tickets answered within 1 hour |
| Mean time to resolve (MTTR) | How long does it take to fix an issue from report to resolution | Critical issues resolved within 4 hours |
| Ticket volume | Number of support requests open or processed | No more than 100 open tickets at once |
| Customer satisfaction (CSAT) | User-rated service quality | Maintain ≥85% CSAT score monthly |
Choose metrics that reflect real customer needs, set achievable performance targets, and use tools that track them in real time.
Writing an SLA involves five stages: defining the scope of service, verifying service levels, setting performance metrics, preparing the SLA document, and reviewing the SLA with all relevant stakeholders.
This stage involves defining the service clearly to include:
Service levels refer to the service output, measured in terms that may vary and appear different depending on the services a service provider offers. For example, a call center may define service level as the number of calls they answer, whereas a product manufacturing unit may define its service level in terms of the number of units they produce every day. Consider working with stakeholders from both sides to verify service deliverables and their deadlines.
Service performance metrics refer to key indicators companies use to measure the efficiency of a service provided by a service provider. These metrics enable companies to assess whether the service provider is meeting the mutually agreed-upon SLA management metrics.
With all the foundational pieces in place, you can begin structuring the agreement. Organize it into clear sections: agreement overview, service scope, metrics and performance targets, monitoring and reporting methods, escalation paths, and clauses for revision, termination, and review. Use precise language. Terms like “promptly” or “as soon as possible” introduce ambiguity; replace them with time-based expectations, such as “within four business hours” or “by close of next business day.”
This stage involves inviting all stakeholders to review the SLA you created and gather feedback from them. Once stakeholders of both parties agree to the document's terms and conditions, you can gather final signatures and distribute the SLA document.
If there’s one mistake that derails SLAs more than any other, it’s scheduling.
On the surface, it sounds easy: just set a few calendar appointments and move on. But for service providers juggling multiple contracts, priorities, and emergency work orders, scheduling can become hectic. This is mainly true in industries like field services and managed IT, where SLAs often include strict timeframes for issue resolution.
The challenge is managing proactive work (like routine inspections or preventive maintenance) alongside reactive work (emergency fixes with time-to-resolution clauses). If a critical issue arises and you can’t dispatch quickly enough, you risk breaching the SLA and damaging the client relationship.
Take asset downtime clauses, for example. If your IT provider fails to fix a security outage for several days, the cost isn’t just operational; it’s contractual. The same applies to safety systems, HVAC failures, or malfunctions in field equipment. In each case, poor scheduling can lead directly to SLA violations.
Scheduling SLA appointments used to be a challenging task, involving multiple calendars and spreadsheets, but nowadays, there are planned preventive maintenance software that can help fast-forward the task.
But scheduling is just the start. Here are some of the other common mistakes companies make when drafting or managing SLAs:
If you’re handling multiple SLAs across clients or departments, your software should support:
Many platforms offer SLA automation, but features vary. Compare top-rated customer service software on G2 to find one that aligns with your team's workflow.
Got more questions? We have the answers.
An SLA is a formal agreement between a provider and a customer that outlines the services and expectations. An SLO is a performance goal within the SLA, while an SLI is the metric used to measure performance, like uptime or resolution. An operational level agreement (OLA) is an internal agreement between teams to support SLA commitments.
The SLA should clearly outline consequences for non-compliance. These may include service credits, penalty fees, or escalation to senior support. In some cases, repeated or severe breaches may trigger termination clauses or impact future contract renewals.
Yes. Internal SLAs are often used between departments, for example, IT support and HR, or marketing and sales. They help ensure cross-functional alignment and accountability, even within the same organization.
SLAs become legally binding when they are included in or referenced by a signed contract. If either party fails to meet the agreed terms, the SLA can be enforced under the same legal framework as the broader agreement.
SLAs should be reviewed at least once a year, or whenever there is a change in services, technology, or client requirements. Regular reviews help ensure that performance targets remain relevant and achievable.
Use clear, specific language. Define measurable performance targets and include only metrics that can be tracked reliably and accurately. Align expectations through stakeholder collaboration, and include processes for monitoring, reporting, and regular review.
Focus on metrics that directly impact the customer experience and can be accurately measured. Avoid overly ambitious goals that are difficult to sustain. Instead, base targets on historical performance data, available resources, and system capabilities.
The most effective SLAs are clear, realistic, and regularly reviewed. They align teams, protect relationships, and give both parties a shared framework for success. View your SLA as an operational blueprint rather than a static document.
Whether you're creating your first SLA or revising an existing agreement, follow the frameworks and best practices in this guide to make sure your service commitments go beyond promises and they demonstrate measurable performance.
Want to automate SLA tracking and speed up support? Explore the top customer service automation tools on G2 to boost response times and stay ahead of every deadline.
This article was originally published in 2019. It has been updated with new information.
Cristina Maria is a Marketing Executive at Commusoft, a job management software company, where she helps field service businesses discover the potential of digital solutions. A curious hybrid writer and marketer, you'll usually find Cristina doing what she loves most: using her work experience to produce engaging content for those looking to make the most out of their business strategies. An Asimov fan since childhood, she gets much too fired up whenever the topic of AI comes into discussion.
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