Amsterdam Software Consultancy Recognised as Global Leader in Mitigating Hidden Digital Risks
Amsterdam, Wednesday 27 May 2026
AI is accelerating hidden software flaws, predicted to cause 80% of IT issues by 2027. Crucially, Amsterdam’s Software Improvement Group is now recognised globally for mitigating these escalating risks.
The AI Paradox in Modern Software Development
As the digital economy rapidly expands—encompassing everything from sophisticated Software-as-a-Service (SaaS) platforms to complex financial technology and cybersecurity systems—the integration of artificial intelligence into software development has become ubiquitous [GPT]. While AI code assistants offer substantial productivity gains for developers, they simultaneously introduce severe risks concerning software quality, security, and legal liability [1]. According to industry analysis, by 2028, artificial intelligence is projected to generate more technical debt at the architectural level than it resolves [3]. This creates a paradox for enterprise IT leaders: the tools designed to accelerate digitalisation are inadvertently hardcoding future scalability bottlenecks [alert! ‘inference based on AI debt generation projections’].
A New Category of Enterprise Governance
The escalating severity of these hidden digital risks has prompted a structural response from industry analysts [GPT]. Recognising the critical need for oversight, Gartner recently established an entirely new evaluation category: the Magic Quadrant for Technical Debt Management Tools [3]. On 26 May 2026, it was announced that the Amsterdam-based Software Improvement Group (SIG) was named a Leader in this newly minted quadrant for its software governance platform, Sigrid [1]. This publication marks a definitive moment for the software industry, as the category itself did not previously exist within Gartner’s widely followed market research documents [3][4].
Benchmarking and the Standardisation of Code Quality
To provide this level of governance, platforms like Sigrid rely on extensive benchmarking and strict adherence to international standards [GPT]. The Sigrid platform analyses software against a database of more than 30,000 real-world systems across various industries and technology stacks [2]. Rather than relying on opinion-based rules, the system conducts its measurements using ISO/IEC 25010, the international standard for software quality, operating under the purview of an ISO/IEC 17025-accredited software quality laboratory [2]. Crucially for cybersecurity and intellectual property protection, the ingestion of source code is strictly read-only, meaning the code is never modified and can be safely analysed via cloud, on-premise, or local environments [2].
Securing Legacy Transitions and Future Scalability
As legacy industries continue their digitalisation journeys, the ability to safely transition ageing infrastructure into modern, scalable software architectures is paramount [GPT]. SIG draws upon 25 years of experience—having built its foundation since approximately 2001—during which it has analysed billions of lines of code to manage architectural risks [1]. This deep historical data provides the context necessary for executives to understand not just a raw score, but whether their proprietary systems are performing better or worse than comparable market benchmarks [2].