Norway’s DNB Bank has expanded its strategic collaboration with Infosys in a move that places cloud-native modernisation, data integration and operational resilience at the centre of the bank’s next phase of digital transformation.
The agreement will see Infosys help DNB consolidate a fragmented technology landscape into a unified, intelligence-driven platform built around NICE Actimize’s X-Sight Enterprise system.
Its significance for the bank’s QA and software testing teams lies in the scale of the integration challenge: legacy replacement, enterprise architecture redesign, platform migration, data movement, SaaS adoption and AI-enabled automation across a major Nordic banking group.
For DNB, Norway’s largest financial services group and one of the biggest banks in the Nordic region by market capitalisation, the deal builds on a broader digital transformation push already underway with Infosys.
Elin Sandnes, COO and group executive vice president technology & services at DNB, explained the latest programme supports both operational control and the bank’s longer-term technology agenda.
“Protecting customers and the integrity of the financial system requires us to continuously raise the bar,” she stressed. “By working closely with Infosys and leveraging NICE Actimize’s X–Sight Enterprise platform, we are enhancing our ability to support our long–term digital transformation and regulatory compliance objectives.”
Unified platforms
Infosys will act as systems integration partner and work with DNB on enterprise architecture design, platform integration and data migration.
The programme will bring customer and payment screening, customer due diligence, transaction monitoring and fraud monitoring onto a single scalable SaaS platform with unified enterprise case management.
For QA and software testing teams, that makes the project more than a compliance upgrade. It is a complex bank-wide technology modernisation exercise involving data quality, test environment stability, migration assurance, integration testing, model validation, performance testing and production resilience.
“A unified, intelligence–led operating model allows the bank to detect earlier, and respond with greater consistency across jurisdictions.”
– Dennis Gada
The latest agreement follows DNB’s earlier move to bring Infosys into a wider group-wide QA and digital infrastructure upgrade. That earlier collaboration focused on modernising DNB’s IT infrastructure and software systems, with testing and quality assurance positioned as central controls rather than final-stage validation.
“At DNB, we are focused on leveraging technology,” Sandnes said at the time. “This collaboration enables us to modernise our IT infrastructure while integrating advanced AI and ML capabilities to deliver more agile, personalised banking services.”
She added: “Robust testing and quality assurance processes will play a critical role in ensuring operational stability and customer satisfaction.”
Transformation strategy
The expanded DNB engagement reflects a broader shift across banking technology programmes, where QA is increasingly being pulled into the heart of transformation strategy.
Banks are no longer just asking testing teams to validate whether software works. They are asking them to prove that cloud-native systems, AI-enabled workflows and complex integrations remain resilient, explainable, auditable and compliant under real operating conditions.
Dennis Gada, executive vice president and global head of banking & financial services at Infosys, framed the DNB programme as a move away from fragmented operating models.
“Legacy systems are struggling. By consolidating capabilities onto an AI–enabled enterprise cloud platform, we’re helping DNB Bank ASA move from fragmented controls to a unified, intelligence–led operating model,” Gada stressed.
“This allows the bank to detect earlier, investigate smarter, and respond with greater consistency across jurisdictions,” he added.
Gada highlighted the role of QA in large-scale banking transformations.
“Large-scale IT transformations enables DNB to remain resilient while embracing rapid change,” he noted. “Testing every phase of the transformation ensures that systems are robust, secure, and capable of meeting evolving customer expectations.”
Post-code bottleneck
The DNB agreement also lands at a time when Infosys is pushing heavily into AI-driven software delivery, cloud engineering and autonomous testing across financial services.
Earlier this year, Infosys teamed up with Harness to target what both companies described as the growing bottleneck after code is written. As AI coding tools accelerate development, testing, deployment, security and governance are struggling to keep pace.
Jyoti Bansal, co-founder and chief executive officer of Harness, described the problem as the “AI Velocity Paradox,” where “development speeds up, but downstream processes like testing, security, compliance, and deployment struggle to keep pace, introducing new risk and complexity.”
Infosys chief executive Salil Parekh made a similar point, arguing that “as AI accelerates change, banks need delivery systems that are faster, reliable, and governed by design.”
That logic applies directly to the DNB programme. A cloud-native platform migration only delivers value if the surrounding testing, release management, data controls and operational monitoring can support the pace of change.
Firm focus on banking
Infosys has been steadily expanding its role in European banking transformation.
In the UK, Metro Bank has worked with Infosys on QA-led finance and technology transformation, embedding automation, testing rigour and cloud-first resilience into its operating model.
Marc Page, chief financial officer at Metro Bank, explained the bank “is continuing to transform our platforms through our partnership with Infosys, helping our digital advancement. This collaboration with Infosys and Workday will help to unify our core finance operations, providing colleagues with self-service tools and simplifying daily operations.”
Metro Bank chief executive Daniel Frumkin also linked the programme to wider efficiency and technology change.
“The collaboration supports the bank’s ongoing efficiency and cost saving efforts,” Frumkin pointed out.
He added: “It builds on the solid foundations we have already laid, creating a scalable organisation that is fit for the future. At the end of this transformation, we should be a very different business.”
Meanwhile, Infosys has also opened a new Zurich hub aimed at supporting European clients in cloud transformation, AI-led modernisation, quality engineering, security and compliance.
For banks such as DNB, that regional expansion matters because major transformation programmes increasingly require local regulatory understanding, sector-specific engineering capability and repeatable QA frameworks.
Autonomous testing
Infosys has also launched hundreds of AI-powered agents aimed at streamlining QA processes, enabling autonomous testing and improving software reliability.
The initiative, built with Google Cloud’s Vertex AI, is designed to support complex enterprise environments by automating workflows, reducing manual overhead and improving performance monitoring.
“Weare enhancing Human+AI collaboration and unlocking new levels of efficiency and precision across the finance space,” said Balakrishna D. R., executive vice president and global services head for AI at Infosys.
“These agents not only support complex operations but also strengthen our clients’ ability to maintain software quality testing at scale.”
That direction is relevant to DNB’s latest programme because the bank’s move to a unified, AI-enabled cloud platform will require continuous validation across data flows, risk models, operational workflows and customer-facing systems.
NICE Actimize chief executive Craig Costigan said banks are looking for more intelligent and cloud-native models.
“Financial institutions globally are seeking more intelligent, cloud–native approaches to combat evolving financial crime. Through this collaboration with Infosys, our X–Sight Enterprise platform’s AI-driven capabilities will help protect DNB and its customers from growing fraud and financial crimes, while boosting operational efficiency and reducing costs.”
Digital capability competition
For QA and software testing teams in banking, the DNB-Infosys deal is another sign that quality engineering is becoming inseparable from digital resilience.
The work ahead will not simply involve testing a new platform before go-live. It will require validating data migration, regression coverage, integration with existing systems, case management workflows, cloud performance, AI-assisted decisioning, operational monitoring and regulatory evidence.
DNB describes itself not only as Norway’s largest bank but also as a leading technology company. That framing is important. Large banks are now competing on digital capability, but regulators and customers still expect stability, security and continuity.
The challenge for QA teams is therefore sharper than ever: help banks move faster without allowing transformation speed to undermine operational control.
DNB’s expanded collaboration with Infosys shows how that balance is being pursued in practice, with cloud-native platforms, AI-driven automation and unified operating models becoming the new foundation for resilient banking technology.
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