QKS Group designates GFT Technologies as the Most Valuable Pioneer (MVP) for its AI-first digital banking transformation approach and its leadership in embedding intelligence across core modernization and engineering delivery frameworks.
PUNE, India, March 5, 2026 /PRNewswire/ -- QKS Group, a global research and advisory firm, has announced the release of its latest whitepaper, "AI Maturity Matrix™ for Digital Banking Transformation Services." The report introduces a first-of-its-kind AI maturity framework tailored specifically for digital banking modernization, spotlighting GFT Technologies as the Most Valuable Pioneer (MVP) for 2026.
As banks move beyond digital enablement toward intelligence-driven operating models, QKS developed the QKS AI Maturity Matrix to provide a structured framework for evaluating whether digital banking transformation vendors have truly embedded AI within core modernization architectures or are incrementally layering AI onto existing services. The framework assesses vendors across critical dimensions, including AI vision and strategic integration, execution maturity within core transformation programs, governance and regulatory alignment, engineering and DevSecOps integration, and enterprise-scale scalability.
"AI maturity is the new frontier in digital banking transformation," said Akhilesh Vundavalli, Principal Analyst at QKS Group. "Many vendors today reference AI capabilities, but few embed intelligence in ways that drive real-time decisioning, regulatory-aligned governance, and scalable modernization. The AI Maturity Matrix cuts through that noise by evaluating how deeply AI is institutionalized within core banking transformation programs."
AI Maturity: The Strategic Imperative for Digital Banking Transformation
The QKS whitepaper reframes digital banking transformation as a progression from infrastructure modernization to intelligence-embedded core architectures. The framework emphasizes the need for vendors to integrate AI across the full transformation lifecycle, spanning advisory, core modernization, migration governance, engineering delivery, and continuous optimization.
Key AI capabilities evaluated in the report include:
The research identifies GFT Technologies as the Most Valuable Pioneer due to its ability to embed AI directly within core modernization architectures and engineering delivery ecosystems. Rather than positioning AI as an adjunct capability, GFT integrates intelligence across migration frameworks, DevSecOps pipelines, and composable banking architectures enabled by its enterprise AI platform Wynxx. With AI-enabled SDLC acceleration and structured modernization governance embedded into its delivery model through Wynxx, GFT enables banks to advance toward adaptive, intelligence-driven operating environments.
"GFT has positioned itself as a frontrunner in applying AI to the execution layer of digital banking transformation, moving beyond experimentation to productized, delivery-embedded intelligence. Through its Wynxx platform, GFT integrates generative AI directly into the software development and modernization lifecycle by automating legacy code analysis, documentation, testing, and transformation workflows that underpin large-scale core and digital modernization programs. This AI-first approach enables banks to accelerate transformation timelines while maintaining governance and human-in-the-loop controls. By embedding AI as a repeatable transformation engine rather than a standalone innovation layer, GFT demonstrates a mature, production-oriented AI strategy that directly translates into faster, more scalable digital banking transformation outcomes," said Akhilesh Vundavalli, Principal Analyst BFSI, QKS Group.
"AI is lowering the cost of building software across the industry. What it does not lower is the cost of failure," said Marco Santos, Global CEO of GFT. "Our focus has been to industrialize responsible AI by embedding it directly into the execution layer of enterprise delivery. This recognition reflects our conviction that in regulated industries, disciplined execution - not experimentation - defines long-term value."
The whitepaper is designed to guide CIOs, COOs, transformation leaders, and IT architects through vendor selection by aligning enterprise AI ambition with market capabilities.
Access the Report: To download the full whitepaper and explore the QKS AI Maturity Matrix, visit: https://www.gft.com/int/en/about-us/recognitions/ai-maturity-matrix-digital-banking-transformation-services
About GFT Technologies
GFT Technologies is a responsible AI-centric global digital transformation company. We deliver advanced Data & AI transformation solutions, modernize technology architectures, and develop next-generation core systems for industry leaders in Banking, Insurance, Manufacturing and Robotics. Partnering closely with our clients, we push boundaries to unlock their full potential.
With deep industry expertise, cutting-edge technology, and a strong partner ecosystem, GFT delivers responsible AI-centric solutions that combine engineering excellence, high-performance delivery, and cost efficiency. This makes us a trusted partner for sustainable impact and customer success.
Our team of 12,000+ technology experts operate in 20+ countries worldwide, offering career opportunities at the forefront of software innovation. GFT Technologies SE (GFT-XE) is listed in the SDAX index of the German Stock Exchange.
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About QKS Group
QKS Group is a global advisory and consulting firm focused on helping clients achieve business transformation goals with Strategic Business and Growth advisory services. At QKS Group, our vision is to become an integral part of our client's business as a strategic knowledge partner. Our research and consulting deliverables are designed to provide comprehensive information and strategic insights for helping clients formulate growth strategies to survive and thrive in ever-changing business environments.
For more available research, please visit https://qksgroup.com/
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Zum 75. Jahrestag des Bundeskriminalamts (BKA) stellt Präsident Holger Münch die IT-Strategie der Behörde unter das Leitmotiv der digitalen Souveränität. Das Amt wolle vorhandene Daten für Ermittlungen deutlich besser nutzbar machen, ohne sich dabei in die Abhängigkeit einzelner ausländischer IT-Anbieter zu begeben, sagte Münch der Deutschen Presse-Agentur. In einer Zeit, in der Abhängigkeiten gezielt ausgenutzt werden könnten, müsse genauer geprüft werden, welche Produkte man einkauft und welche Fähigkeiten im eigenen Haus aufgebaut werden, so der BKA-Chef.
Im Zentrum steht für Münch nicht nur die Hoheit über die eigenen Daten, sondern auch die wirtschaftliche und politische Unabhängigkeit von Herstellern. Als Risiko nennt er etwa drastische Erhöhungen von Lizenzgebühren. IT-Fachleute verweisen darüber hinaus auf die wachsende Sorge, politischer Druck könne sich eines Tages in Form gesperrter Zugänge zu Daten oder sogar einer Fernabschaltung von Software durch US-Anbieter äußern. Vor diesem Hintergrund gewinnt die Frage, wie Ermittlungsbehörden ihre technischen Grundlagen gestalten, an strategischer Bedeutung.
Ein prominentes Beispiel für die Debatte ist der US-Anbieter Palantir. Dessen Analyseplattform "Gotham" wird bereits in mehreren Bundesländern eingesetzt, darunter Bayern, Hessen, Nordrhein-Westfalen und Baden-Württemberg. Der Hersteller betont, die Datenhoheit verbleibe vollständig bei den jeweiligen Polizeibehörden. Auf Bundesebene signalisiert Bundesinnenminister Alexander Dobrindt (CSU) jedoch nach Darstellung Münchs derzeit kaum Bereitschaft, diese Software für die Bundessicherheitsbehörden zu nutzen. Damit rückt ein eigenständiger Ansatz in den Fokus, der nicht auf eine einzige Komplettlösung setzt.
Münch beschreibt als Zielbild eine IT-Landschaft, die aus verschiedenen Modulen unterschiedlicher Entwickler besteht. Kernstück soll eine Datenintegrationsschicht sein, die das BKA am Markt einkauft. Auf dieser Ebene sollen dann unterschiedliche Analysewerkzeuge laufen – teils bereits vorhandene Systeme, teils Eigenentwicklungen und ergänzend zugekaufte Tools. Erst eine solche Architektur ermögliche es, bislang getrennt vorliegende Informationen aus verschiedenen „Töpfen“ gemeinsam auszuwerten und für operative Ermittlungen nutzbar zu machen. Für die Strafverfolger geht es damit um mehr als reine Effizienzgewinne: Die technische Infrastruktur wird zum zentralen Baustein, um Handlungsfähigkeit und Unabhängigkeit der Behörde langfristig zu sichern.
