
Q&A: AI in custom software development in higher education
Join us in conversation with Laura Bailey, software and education expert

Expert insight
A 2026 report on the new priorities shaping higher education technology strategy.
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42%
of education leaders says finding it difficult to integrate agentic AI with legacy systems.
47%
expect to adopt AI in custom software development within the next six to twelve months.
82%
feel their current technology stacks aren't ready for an AI-first world.
Educational institutions are navigating a period of deliberate transformation. As expectations around student experience rise and AI accelerates change, institutions are rethinking how technology can create competitive advantage. But modernisation is not simply about adopting new tools. It is about balancing innovation with the realities of governance, budget scrutiny, legacy systems and operational complexity.
This data-driven report explores how education providers are approaching custom software development as a strategic differentiator, revealing where institutions are investing, where challenges remain and what is required to deliver measurable, lasting value.
By downloading this report, you’ll discover:
Why student and user experience is driving custom software investment
How institutions are managing governance, accountability and riskWhere internal capability gaps are slowing delivery
Why hybrid delivery models are becoming the norm
How AI is accelerating software modernisation
What defines long-term value beyond cost savings
Insights

Join us in conversation with Laura Bailey, software and education expert
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