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SOFTSWISS Chief Stresses Systemic Approach to AI at Tech Race Summit 2026

SOFTSWISS Chief Stresses Systemic Approach to AI at Tech Race Summit 2026
SOFTSWISS Chief Stresses Systemic Approach to AI at Tech Race Summit 2026
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Ahead of the 2026 Tech Race Summit in Warsaw, Denis Romanovskiy, Chief AI Officer at SOFTSWISS, underscored the need for a broad overhaul of AI infrastructure to ensure successful integration in the gambling sector. Romanovskiy argues that many companies mistake mere tool deployment for true AI transformation.

Operational Risks from Misunderstanding AI

“Strong, large language models have only been widely available for a couple of years,” Romanovskiy pointed out. This has led to a rush among companies to incorporate AI, with individual teams adopting disparate tools. Developers rely on coding assistants, support teams test automated responses, and marketing uses AI for content creation. But this scattered approach leads to variable security standards and fragmented knowledgeβ€”a major risk in igaming, where AI is increasingly essential for managing player data and ensuring compliance. AI integration isn’t just about using new tools; it requires teaching everyone in the organization what AI can do, where it may fail, and maintaining personal accountability. Companies are learning that the lack of systematic architecture around AI can compromise both security and productivity.

Infrastructure: The Backbone of AI

Many focus solely on AI models, yet the real challenge lies in supporting infrastructure. Romanovskiy notes, “A centralised architecture allows us to implement a β€˜build once, use everywhere’ principle.” The distinction is critical: basic AI tools might enhance efficiency by 20–30%, while integrated AI can triple or quintuple process speeds. Companies that treat AI as just another software tool often underfund change management, leading to a patchwork of mismatched solutions. But for igaming companies that operate across multiple jurisdictions, every AI-driven process must align with security and compliance needs. Moving towards a centralized platform helps ensure consistency and scalability, reducing security risks and unnecessary costs.

Value of AI Lies in Learning, Not Automation

AI allows for rapid executionβ€”what once took weeks can now be tested in hours. “With AI, execution can happen in minutes or hours,” Romanovskiy stated. But rapid execution demands a refined approach. The speed of AI shifts the bottleneck to the quality of the questions asked and the accuracy of results. In this market, success depends on teams that can quickly identify problems and evaluate outcomes, rather than mere automation.

AI Reshapes Job Roles

AI doesn’t just replace jobs; it transforms them. Developers, for instance, are spending more time on refining AI instructions and less on routine coding. Automated tools can handle a major portion of code review tasks. This shift is mirrored across rolesβ€”support specialists tackle more complex cases, while managers focus on outcomes rather than simple task tracking. The human element becomes even more key in planning and decision-making.

Increased Accountability with AI

Despite AI’s capabilities, ultimate decision-making and accountability remain human responsibilities. “AI always works in conjunction with verified corporate knowledge,” Romanovskiy emphasized. AI can provide answers, but human experts must validate these, ensuring AI-driven decisions are transparent and fall under rigorous review processes. This is especially pertinent in the gambling sector, where regulatory lapses can have severe financial repercussions.

Looking Ahead

The Tech Race Summit on September 10, 2026, will dig deeper into AI’s potential, risks, and practical realities, offering a platform for technology leaders to discuss how architecture decisions and AI integration can drive tangible business results. With AI’s role in igaming becoming increasingly pivotal, systematic adoption and accountability remain at the forefront.

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