When SLAs don’t deliver: the gap between IT stability and real customer protection in finance

This tension between formally met metrics and the real user experience is becoming one of the most significant challenges in digital financial services.

What you should know:

• SLAs don’t always measure what matters most to customers. The traditional approach to SLAs focuses on system availability, while customers judge a service based on whether they were actually able to use it effectively at a given moment.
• The cost of downtime is rising faster than many organizations expect. Over the past decade, downtime costs have increased by roughly 150%, meaning that even brief service interruptions now have a much greater impact on financial results and business risk.
• IT stability is increasingly a business decision. In a regulated and digital environment, system stability affects not only IT operations, but also customer experience, operational resilience, and the organization’s overall risk profile.

Why traditional SLAs don’t protect customer experience

While end users understand that service unavailability may be caused by a technical failure, from their perspective the outcome is what matters most: being unable to complete a specific action, make a payment, log in to online banking, file a claim, or finalize a transaction. Such situations have a direct negative impact on the user experience, undermining the sense of control and security.

Traditional SLAs, however, focus primarily on technical parameters that do not always reflect the customer’s actual experience.

In practice, SLAs most often:

• measure the availability of individual components rather than entire customer journeys,
• focus on response and resolution times instead of the real impact on users,
• treat unavailability as an averaged metric, without accounting for fluctuating usage intensity over time.

With declared availability of 99%, what truly matters is when the remaining 1% of downtime occurs. An outage during off-peak hours has a very different impact than an identical interruption during peak usage or periods of heightened business activity, such as month-end processing or Black Friday.

From a reporting standpoint, SLAs may still be considered met. From the customer’s point of view, however, the service cannot be effectively delivered. As a result, these incidents often generate a disproportionately high number of complaints and escalations, even though they are not formally classified as critical events.

The cost of downtime: an IT issue or a business risk?

Market data clearly illustrates the scale of challenges associated with system downtime. In 2025, the average cost of one minute of unavailability exceeded USD 14,000, reaching as much as USD 23,000 in large organizations¹. In high-risk sectors such as financial services, a single hour of downtime can translate into losses measured in millions of dollars². Importantly, downtime costs have risen by approximately 150%³ compared to a decade ago, further amplifying the severity of the risk. 

From a management perspective, it is important to look not only at complex, multi-hour outages, but also at short, recurring service interruptions. While less visible in technical reports, these disruptions often occur at moments that matter to customers, eroding trust, generating negative feedback, and increasing the load on call centers and operations teams. 

Although such issues are rarely classified as critical IT incidents, from a customer and business standpoint they have tangible consequences. Research shows that availability and performance disruptions in digital services, including short and recurring incidents, can generate losses exceeding USD 100,000 per month and significantly increase customer churn risk, even when formal SLA metrics remain met⁵. 

The most common organizational mistakes in SLA approaches in financial institutions

• SLAs defined from an IT perspective rather than customer processes. In many organizations, SLAs primarily relate to infrastructure or individual systems. High availability of technical components does not necessarily mean that a customer can successfully use a service. Without clearly linking SLAs to a map of critical business processes, it is difficult to assess which systems actually protect the end-user experience.
• Incidents analyzed without customer experience context. Incident classification is often based on technical criteria, without parallel analysis of customer impact. The lack of linkage to metrics such as NPS, complaint volumes, or support channel load means organizations often recognize the scale of the problem only once it becomes visible to users.
• SLAs treated as a formal requirement rather than a management tool. SLAs are frequently viewed mainly as contractual clauses and reporting artifacts. As a result, the focus shifts to meeting metrics rather than assessing whether they truly mitigate business, reputational, and operational risk.
• Lack of clear business ownership for critical services. SLAs often remain the domain of IT, while business process owners are not actively involved in defining which disruptions have real customer and organizational impact. Without this engagement, response priorities and resource allocation do not always reflect actual business importance.

SLAs and regulation: where real risk emerges

The DORA regulation shifts the focus from formal compliance toward genuine digital resilience and the ability to maintain continuity of critical services. Regulators increasingly assess not uptime percentages, but the organization’s capability to maintain or rapidly restore business functions under disruption.

In practice, this means that SLAs not tied to critical services and real customer impact may prove insufficient from both a customer experience and regulatory risk perspective. Particular attention is paid to so-called “borderline” incidents: short, recurring disruptions that appear insignificant individually but, over time, may indicate inadequate operational resilience.

How decision-makers should look at SLAs

It is worth asking a few simple but fundamental questions:

• Do our SLAs refer to key customer processes or only to systems?
• Which incidents actually affect the user experience?
• Who learns about the problem first: us or our customers?
• Are SLA reports understandable for the business, not just IT?
• Does our operating model allow us to react faster than reputational issues escalate?

One of the simplest tests of SLA maturity is the organization’s ability to quickly assess the real impact of an incident on customers and the business.

In practice, this comes down to two questions:

1. Within minutes of an incident occurring, can the organization identify which customer services are at risk and how many customers may be affected?
2. Do service monitoring tools and processes ensure that the organization becomes aware of a potential issue before end users do?

A lack of a clear answer to either question indicates that reported system stability does not yet translate into real control over business risk or effective customer experience management.

What SLAs that truly protect customer experience look like in practice

SLAs that genuinely protect customer experience cannot rely solely on technical system availability metrics. Their effectiveness depends on whether they are directly linked to key business processes and to the moments when customers actually use services.

In practice, this requires a shift from reactive IT maintenance toward active management of business service continuity and mitigation of downtime risk that has a real, measurable impact on customers.

High availability as protection for processes, not infrastructure

High Availability architecture delivers value only when it protects the continuity of critical customer processes. The mere fact that a system is technically available does not guarantee that a user can complete a transaction or perform an operation.

For this reason, SLAs should reference end-to-end service availability rather than the uptime of individual technical components.

SLAs defined by customer impact

Response and resolution times should be differentiated based on the actual impact an incident has on customers. Incidents that block core functions require a different priority and response model than issues with limited scope.

Without this differentiation, SLAs function primarily as reporting mechanisms rather than tools for managing customer experience and operational risk.

Business continuity as part of day-to-day management

Business Continuity should not be treated solely as a set of procedures activated during major crises. It also includes how maintenance activities, deployments, and system changes are planned and executed to minimize disruption risk for end users, particularly during periods of heightened business relevance.

Proactive anomaly detection

Effective SLAs rely on proactive monitoring that identifies anomalies before customers experience service degradation. This enables earlier intervention, reduces the number of user-visible incidents, and lowers the costs associated with escalations and loss of trust.

Transparency from a business perspective

SLA reporting should be understandable to stakeholders responsible for business processes and operational risk. Beyond response and resolution times, reporting should clearly show the actual impact of incidents on service availability and customer experience.

Flexibility in introducing changes and adjustments

Many customer experience issues do not require large-scale transformation initiatives, but rather fast, targeted adjustments to existing systems. When organizations lack the ability to implement such changes efficiently, even minor barriers can persist for months.

A so-called “small development” model, delivered as part of ongoing system maintenance, enables rapid implementation of incremental improvements without launching full-scale projects.

This approach allows organizations to respond to user needs within short decision cycles, reducing time to market for changes that, despite their limited scope, often have a meaningful impact on service availability, quality, and customer satisfaction.

Summary. Peace of mind as real business value

In IT service management within the financial sector, it is increasingly evident that formally met SLAs do not always translate into real service availability from the customer’s perspective or into true operational resilience.

The gap between reported system stability and actual user experience has become a significant source of operational, reputational, and regulatory risk.

At Altkom Software, we support financial institutions in structuring system maintenance and development in a way that aligns regulatory requirements, continuity of critical business processes, and real customer experience. Our experience shows that the greatest value comes not from a single technological change, but from consistently aligning SLAs, monitoring, and response models with a clearly defined map of critical services.

This approach does not eliminate all incidents, but it enables organizations to manage them more effectively from the perspective of business processes, users, and regulatory expectations. As a result, IT stability becomes not merely a technical parameter, but a deliberate element of customer experience and operational risk management.