What if the real challenge with test automation in universities isn’t a lack of investment, but a lack of focus on maximising ROI?
Now that 2026 is underway, universities across the UK are facing sustained budget pressure, delivery fatigue, and growing scrutiny of their digital spend. Transformation programmes continue, but expectations are higher, timelines tighter, and every technology investment must now demonstrate clear value, reinforcing the need to focus on maximising ROI rather than expanding activity for its own sake.
It’s no surprise that test automation is being reassessed. Senior leaders are less concerned with the extent of automation and more focused on what it actually delivers. Does it reduce risk during critical delivery periods? Does it accelerate releases for student-facing systems? Or has it become a costly estate that is difficult to maintain and trust?
In this context, test automation coverage alone is no longer a meaningful measure of success. Return on investment is. Universities are shifting from automating more to automating smarter, focusing their efforts on delivering tangible outcomes.
When approached strategically, test automation remains a powerful enabler. At Infuse Consulting, we offer a range of services that support universities in making informed, value-driven automation decisions, reducing costs, enhancing delivery confidence, and delivering measurable ROI.
The Common Automation Trap in Higher Education
Many universities have already invested significantly in test automation, yet still struggle to realise consistent value. In most cases, the issue is not a lack of effort or intent, but a set of common traps that organisations across the sector fall into.
One of the most frequent challenges is the pursuit of automation targets, such as achieving 70 or 80 per cent coverage, without a clear link to business outcomes. While these metrics can be useful internally, they rarely reflect whether automation is reducing risk, accelerating delivery, or improving confidence in releases. Coverage becomes the goal, rather than the means to an end.
Another common issue is over-automating unstable systems or late-stage transformation projects. Automating functionality that is still changing introduces high maintenance overheads and fragile test suites, often increasing cost rather than reducing it. In these scenarios, automation can quickly become a burden rather than a benefit.
Tool-led decision-making also plays a role. Universities are often encouraged to adopt new automation tools based on vendor promises of speed or simplicity, without sufficient consideration of how these tools align with existing delivery models, skills, or institutional priorities. The result is often a fragmented automation estate that is difficult to sustain.
Taken together, these patterns lead to rising costs, brittle automation, and a decline in confidence in test outcomes. Importantly, these challenges are not a sign of failure. They are common across higher education and reflect the complexity of modern university systems. Recognising them is the first step toward building a more focused, value-driven automation strategy.
Maximising ROI: What Automation Should Actually Deliver
To make better decisions about test automation, universities need to rethink how return on investment is defined. Traditional measures such as cost per test or the volume of automated scripts provide limited insight into whether automation is genuinely improving delivery outcomes.
A more meaningful view of ROI focuses on value-based results. For many institutions, this starts with reducing the time and effort required for regression testing during peak academic periods, when system stability is critical, and release windows are narrow. Automation that shortens regression cycles can free teams to respond more quickly to change without increasing risk.
Equally important is the ability to deliver faster, safer releases for student-facing systems. When automation is applied to high-impact user journeys, it can provide confidence that essential services, from enrolment to assessment, continue to perform as expected, even as underlying systems evolve.
Automation also delivers value through earlier defect detection, particularly in complex integration landscapes. Universities rely on interconnected platforms, including SITS, virtual learning environments, finance systems, and identity services. Identifying integration issues earlier in the delivery lifecycle reduces the cost and disruption of fixing defects later, when they are far more expensive to resolve.
Crucially, these outcomes align with how senior stakeholders assess value. For them, ROI is not measured in scripts or tools, but in reduced risk, greater predictability, and confidence that systems will perform reliably when it matters most. Test automation that supports these goals is far more likely to justify continued investment and long-term support.
Where Automation Delivers the Greatest Value in Universities
Not all areas of a university’s digital estate offer the same return on investment in automation. The most effective strategies focus effort where automation can consistently reduce risk, save time, and improve delivery confidence.
Core Student Lifecycle Journeys
Student-facing processes, such as enrollment, registration, progression, assessment, and results publication, are high-impact candidates for automation. These journeys are business-critical, repeat frequently, and are highly visible to students and staff. Automating tests around these flows helps ensure stability during peak periods and reduces the risk of disruptive failures.
Data-Heavy Processes With Repeatable Rules
Automation delivers strong value where processes involve structured data and consistent business rules. Validations, calculations, eligibility checks, and reporting workflows are well-suited to automation, as they benefit from repeatability and precision. In these areas, automation can significantly reduce manual effort while improving accuracy.
Integrations Between Legacy And Modern Platforms
Universities typically operate complex integration landscapes that combine long-established systems with newer platforms and cloud services. Automating tests across these integration points helps detect issues earlier, where fixes are cheaper and less disruptive. This is particularly valuable where changes in one system can have unintended downstream impacts elsewhere.
Where Automation May Not Deliver Value — Yet
Just as important as knowing where to automate is understanding where automation is unlikely to pay off in the short term.
Volatile Or Rapidly Changing Functionality
Automating features that are still evolving often results in fragile tests that require ongoing maintenance. In these cases, the cost of keeping automation up to date can outweigh its benefits.
One-Off Transformation Changes
Large, single-use changes, such as data migrations or temporary workarounds, rarely justify the effort required to automate testing. Manual approaches are often more pragmatic until systems stabilise.
Poorly Understood Business Processes
If the underlying process is unclear or inconsistently applied, automating it can simply codify confusion. Automation is most effective once processes are well understood and agreed.
Building a Sustainable Automation Strategy
For test automation to deliver long-term value, it must be embedded within the way universities actually deliver change. This involves aligning automation with existing delivery models, such as Agile, DevOps, or the hybrid approaches commonly used in higher education. Automation should support delivery rhythms and governance structures, not sit alongside them as a separate or competing activity.
A sustainable approach treats automation as a long-term asset rather than a project add-on. Teams often introduce automation to meet immediate delivery pressures, then leave it without a clear plan for evolution or maintenance. By designing automation with longevity in mind, supported by clear standards, shared ownership, and planned investment, universities turn it into a dependable part of the delivery toolkit and focus on maximising ROI, rather than accumulating technical debt.
People and skills are equally critical. There is a meaningful difference between test engineers who design automation with quality, resilience, and reuse in mind, and those who focus purely on writing scripts to meet short-term targets. Sustainable automation relies on engineering capability: understanding systems, anticipating change, and building tests that support continuous delivery.
Finally, governance underpins everything. Clear ownership, agreed standards, and an explicit approach to maintaining and retiring automation assets are essential to avoid sprawl and fragility. With the right governance in place, universities can ensure their automation estates remain maintainable, trusted, and aligned to institutional priorities, a critical foundation for maximising ROI as systems and delivery models continue to evolve.
Making Test Automation Pay Its Way by Maximising ROI
By 2026, many universities will already have an established automation estate. The challenge now is not how to add more, but how to ensure that existing automation delivers measurable value. That starts with reassessment.
Start by reviewing current automation assets with a critical eye. Identify which automated tests still align with today’s systems and delivery priorities. Confirm which tests teams execute regularly, trust, and actively maintain. This assessment often reveals a long tail of scripts that consume effort without delivering meaningful value.
From there, universities can make informed decisions about retiring low-value automation. Removing brittle, rarely used, or high-maintenance scripts is not a failure; it is a necessary step in improving overall ROI. A smaller, more reliable automation suite is far more effective than a large, yet fragile, one.
That said, prioritisation is equally important. Automation should focus on areas that shorten critical delivery timelines. This is especially true where regression testing creates bottlenecks or operational risk. Focusing effort where it matters most supports maximising ROI and enables faster, safer releases.
A clear automation roadmap underpins everything. Tying automation priorities to institutional goals makes investment easier to justify and sustain over time.
Maximising ROI with Smarter Test Automation
Strategy drives successful test automation, not spending. Simply investing in more tools or increasing automation targets will not deliver better outcomes without clear intent, focus, and governance.
Universities that prioritise value over volume are better positioned to reduce risk, accelerate delivery, and maintain confidence in their digital services. By focusing automation where it has the greatest impact, rather than chasing coverage percentages, institutions can concentrate on maximising ROI. This outcome-led approach enables smarter automation, enabling teams to respond to change without compromising quality, even in complex, resource-constrained environments.
Making this shift is a leadership decision and often benefits from experienced, independent support. At Infuse Consulting, we work with universities to assess existing automation estates, define value-led automation strategies, and ensure testing investments deliver measurable ROI. Our approach is grounded in extensive higher education experience and focused on outcomes that matter, not tools for their own sake.
If you’d like to explore what this could look like for your institution, book a call with the Infuse Consulting team today.