AI is changing how software is developed. Tat has implications
far beyond development teams because if you can shorten delivery cycles and reduce engineering overhead, the business can respond more quickly to new opportunities. In the long run, AI’s greatest impact won’t be a single feature that players interact with. It will help companies innovate faster across the board.
You’ve spoken about giving operators greater control of their technology and data. Have too many businesses become locked into closed platform ecosystems?
Closed platforms have played an important role in helping many operators launch and grow, but businesses naturally become more ambitious over time. As they mature, they want greater control over their roadmap, the freedom to integrate new capabilities and more influence over how their platform evolves. Tat’s becoming even more important as AI accelerates software development and raises expectations around speed and innovation. It’s not a case of rejecting closed ecosystems altogether; it’s about giving operators more choice over the parts of the platform that define their business.
Could AI’s biggest impact be in software development?
Everyone is talking about AI and player engagement, but the bigger story is happening behind the scenes. AI is changing how software is developed. Tat has implications far beyond development teams because if you can shorten delivery cycles and reduce engineering overhead, the business can respond more quickly to new opportunities. In the long run, AI’s greatest impact won’t be a single feature that players interact with. It will help companies innovate faster across the board.
Having worked with operators across the industry, what technical mistakes do you see businesses repeatedly making as they try to scale?
One mistake we often see is solving today’s problem without thinking about tomorrow’s challenge. Tat’s understandable when there’s pressure to launch quickly, but short-term decisions have a habit of
ADAM MATEJA Co-Founder & CEO Blurify
becoming long-term constraints. Over time, platforms become more difficult to change, integrations take longer and development slows just when the business needs to move faster. Te companies that scale most successfully aren’t necessarily those with the biggest engineering teams; they’re the ones that continue investing in platform design, so growth doesn’t come at the expense of agility.
How can modern platform architecture make it easier for operators to meet regulatory requirements and expand into new markets?
Expanding into a new market is rarely just about obtaining a licence. It’s about adapting your platform to different regulatory, operational and commercial requirements without creating unnecessary complexity. Tat’s where good architecture makes a real difference. If your platform is designed to evolve, introducing market-specific functionality or integrating local services becomes a far more manageable process. It doesn’t remove regulatory complexity, but it does stop every new requirement from becoming a major engineering project.
What will define the next generation of iGaming platforms, and where do you see AI having the greatest influence?
Te industry is moving towards platforms that are built to evolve, not simply to scale. For a long time, success was measured by stability and the number of features a platform could offer. Increasingly, it will be defined by how quickly businesses can respond to change. AI will undoubtedly play a major part in that, not because it will replace engineering teams, but because it can help them solve problems faster and make better use of their expertise. Te businesses that adapt first will be in the strongest position to keep innovating over the next decade.
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