The Hidden Operational Risk Financial Institutions Can No Longer Ignore

Why digital experience is now a regulatory priority

In regulated industries like financial services, even minor technology friction can quickly become a regulatory risk. Gaps in visibility, slow systems, and inconsistent performance can trigger audit findings, SLA breaches, and increased compliance scrutiny. 

This risk exists because technology performance underpins almost every critical process inside financial institutions, not just at the customer edge but deep across operations. Payments, trading, customer service, risk controls, and regulatory reporting all depend on technology working consistently across thousands of employees and devices. When those systems falter, the impact rarely stays confined to IT. It shows up as operational delay, repeated rework, customer dissatisfaction, and heightened regulatory attention. 

What makes this especially difficult is that many of the most damaging issues do not begin as visible outages. They start as persistent issues across endpoints, applications, and virtual environments that employees learn to work around to keep business moving. Over time, that friction accumulates into material cost and operational risk, often without clear visibility into where problems originate or how widespread they have become. Digital employee experience has therefore become one of the few practical ways IT teams can gain real-time insight into conditions that traditional monitoring tools struggle to detect. 

Why technology outages create immediate business and customer impact

Even large, well-resourced banks continue to experience significant technology disruption. Recent UK parliamentary data, reported by The Guardian, shows that customers of major banks and building societies experienced a combined 803 hours, more than 33 days of unplanned IT outages over a two-year period, disrupting access to accounts and payment services for millions of users.  

While these incidents draw attention when customers are affected, the operational impact typically begins much earlier. Internal teams deal with slow systems, failed transactions, unstable applications, and degraded virtual environments long before an outage is formally declared. Manual workarounds become routine, increasing risk and reducing efficiency in ways that traditional monitoring struggles to capture.  

In highly regulated environments, early-stage application instability often affects specific users or workflows and goes unnoticed until it escalates. Experience-level insight into how critical applications behave in real conditions is essential. Nexthink Application Experience provides this visibility, helping IT teams identify issues across trading tools, payment systems, and customer servicing platforms before customers are affected. 

Why reactive IT support fails in complex banking environments

Most IT operating models still depend on employees reporting issues and service desks resolving them one ticket at a time. In complex, highly regulated banking environments, that approach struggles to keep pace with the scale and interdependency of modern digital estates.  

Some of the most expensive problems are not major failures, but persistent degradation that repeatedly pulls in field support. In one large global financial organization, recurring system crash incidents (Blue Screen of Death, or BSOD) were a leading driver of these costs. Each device reimage carried a direct cost of $150–$200, excluding lost employee time. By using Nexthink analytics to identify the underlying driver and configuration issues behind these crashes, IT teams deployed permanent fixes across the environment. As a direct result of Nexthink-led remediation, devices experiencing blue screens were reduced by 78%, and related field support tickets fell from 44 per month to just five. Without experience-level insight, these patterns tend to persist, consuming budget and operational capacity over time.   

Preventing these patterns from repeating at scale requires more than identifying root causes. IT teams also need a way to act on experience insights consistently, without relying on manual intervention each time an issue reappears. Nexthink Spark supports this by automating responses to known failure patterns and triggering the right actions based on real experience signals, reducing repeat incidents and the operational drag that comes with reactive support. 

What financial institutions need to make IT resilient by design  

To reduce disruption and manage risk effectively, financial institutions need more than traditional monitoring. They need an operating model built around digital experience:  

• Continuous visibility into employee experience across endpoints, applications, networks, mobile devices, and virtual environments 
• Identification of systemic issues rather than isolated incidents, preventing repeated rework and hidden cost  
• Automated remediation for known failure patterns, reducing reliance on reactive service desk and field support  
• Experience-based decision signals, such as DEX scores, to guide asset lifecycle, investment prioritization, and risk management  

Making this operating model work in practice requires automation. In complex, regulated environments, IT teams need a way to apply fixes consistently and at scale, rather than resolving the same issues device by device. Nexthink Flow provides this capability by automating remediation for known failure patterns, helping prevent recurring issues and reducing pressure on service desk and field support teams.  

Many financial institutions also rely heavily on virtual desktops to support critical work across trading floors, contact centers, and branch operations. In these environments, performance issues affect not just individual productivity but service continuity and regulatory exposure. Nexthink VDI gives IT teams visibility into how virtual desktop environments perform from the user’s perspective, helping maintain fast, stable sessions across shared and high-pressure workloads. Together, these capabilities allow IT teams to prevent disruption rather than respond after the damage has already been done. 

How visibility into employee experience reduces cost and improves focus  

Financial institutions that adopt an experience-led operating model use data to move beyond reactive support and address issues at the root. One global financial organization based in the U.S. implemented Nexthink to optimize its digital workplace and support long-term productivity. The workplace team defined clear success criteria and used Nexthink to establish a proactive operating model focused on resilience rather than ticket throughput.  

By applying real-time visibility and automation, 26% of service desk tickets were resolved using Nexthink single-click actions instead of manual handling. For targeted issues, Mean Time to Resolution fell by 33%, while overall Level 2 ticket intake dropped by 31% as recurring problems were eliminated. Digital employee experience data also informed more disciplined investment decisions. Instead of refreshing devices based on age alone, DEX scores were used to assess real-world performance. More than 2,000 devices delivering strong experience were kept in service for an additional year, delaying approximately $2 million in hardware spend without increasing performance or compliance risk.  

Taken together, these outcomes show how experience data changes day-to-day decision-making inside IT, shifting effort away from repeat intervention and toward prevention, while giving leaders clearer control over both cost and operational risk. This is not an isolated case, but an example of how experience-led operating models are taking hold across financial services.

Why this approach is becoming standard practice  

Financial institutions operating at scale are increasingly using employee experience data to focus IT effort where it has the greatest operational impact, particularly in environments where complexity and regulatory pressure make traditional prioritization difficult.  

Rabobank uses Nexthink to connect system-level performance with what employee's experience day to day, allowing teams to prioritize remediation based on operational impact rather than abstract infrastructure metrics. Other banking organizations using Nexthink have applied similar preventative approaches to reduce rework tied to inaccurate or incomplete data. In one global financial services organization, Nexthink-driven actions helped avoid approximately $800,000 annually by eliminating repeated manual correction and downstream inefficiency.  

For organization's dealing with scale, regulatory pressure, and constant change, this approach offers a way to prioritize action with confidence, reducing disruption not through more process, but through better visibility into how technology behaves in practice.    

The bottom line  

Nexthink gives IT teams insight into how technology performs for employees across complex, regulated environments. Experience degradation can be identified early; remediation can be automated at scale, and recurring issues can be addressed before they affect customers or compliance outcomes.  

For financial institutions, technology issues that begin at the employee level rarely stay there. By moving from reactive support to preventative digital operations, IT leaders gain the visibility and control needed to reduce disruption, control cost, and modernize with confidence.  

 Find out how leading financial institutions apply digital experience at scale

“Nexthink is something every organization needs to have. It helps us understand what’s happening so we can constantly innovate and improve. Users don’t report issues as often as they are occurring and having that visibility to solve those problems proactively has been massively helpful. It’s no longer a guessing game.”
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⁠Brian DeAngelo, SVP Technology Innovations Group