CI&T Joins Claude Partner Network to Scale Claude Across the World's Largest Enterprises, with 1,000+ Certified AI Engineers Jun 08, 2026 CI&T Joins Claude Partner Network to Scale Claude Across the World's Largest Enterprises, with 1,000+ Certified AI Engineers. Learn more
CI&T Releases 2025 ESG Report Focused on Social Impact, Clean Energy, and Innovation Mar 31, 2026 CI&T Releases 2025 ESG Report Focused on Social Impact, Clean Energy, and Innovation Learn more
CI&T Report Shows That Over 60% of UK Consumers Already Use AI When Shopping, But Few Are Impressed by Retailers’ Efforts Nov 30, 2025 The Retail Tech Reality Check examines how artificial intelligence (AI) is impacting the way consumers shop. From where journeys begin to how people pay, what channels they trust, and the prices they expect, retail is undergoing a significant transformation. Learn more
CI&T and Valleys to Coast Modernise Housing Systems to Improve Services for 18,000 South Wales Residents Mar 24, 2026 New unified platform removes administrative hurdles, allowing teams to focus on residents and the quality of their homes. Learn more
The Tech-Enabled Financial Landscape: Opportunities & Challenges Jan 27, 2025 | min read Artificial IntelligenceFinanceFintech By Gabriel Bernardi Almeida Vieira The financial services industry is on the brink of exciting transformations, with several innovations reshaping our banking concept. Take Finance and Ecosystem Integration, for instance. Financial services are no longer confined to traditional banking apps or websites; they’re becoming part of our everyday platforms. Imagine ride-sharing apps offering instant trip insurance or e-commerce sites providing seamless buy-now-pay-later options at checkout. This trend allows financial services to meet customers right where they are, enhancing convenience and unlocking new revenue streams.Another significant opportunity lies in AI-ready data and its role in Scaling AI within the Enterprise. Many organisations grapple with fragmented or siloed data, making it challenging to fully harness AI’s potential. By investing in AI-ready data infrastructure—clean, unified, and easily accessible datasets—banks can unlock robust predictive analytics and personalised services. This foundational step is crucial for successfully scaling AI across operations and ensuring impactful outcomes.Lastly, Decentralised Finance (DeFi) and Tokenisation are generating considerable interest alongside innovations like cross-border payments and open banking. DeFi is paving the way for democratised financial products and services, while tokenisation enables novel investment methods, such as owning fractional shares in real estate. Historically complex and costly, cross-border payments are beginning to see potential efficiencies through blockchain exploration, simplifying transactions and reducing costs, albeit with ongoing regulatory alignment. Meanwhile, open banking fosters collaboration, as secure data-sharing between banks and fintechs leads to more personalised and competitive offerings. Together, these trends signal a shift towards a more inclusive, interconnected, and innovative financial ecosystem.ChallengesThe challenges are as diverse as the opportunities, and many are becoming increasingly complex. Economic uncertainty and inflation top the list for many financial leaders. Banks must demonstrate agility in fluctuating markets, adjusting loan policies, pricing models, and customer support strategies to remain competitive while managing risks.Another major challenge is the talent gap in advanced AI fields, particularly in XOps, AI Engineering, and Blockchain. These areas require specialised expertise, and the demand is soaring. Companies must focus on hiring and creating environments that attract and retain this talent. Offering growth opportunities, fostering innovation, and establishing clear paths for professional development will be essential.Additionally, crime in the AI era introduces a new layer of complexity. While AI-driven financial systems are highly efficient, they can also be vulnerable. Deepfake technology could manipulate identity verification systems or exploit AI algorithms to generate fraudulent transactions. Financial institutions must invest in sophisticated mechanisms to detect and prevent such activities, leveraging AI to combat AI-driven crimes. It’s a constant game of staying ahead.Modernising systems presents another significant hurdle, but AI is becoming a game-changer. By employing AI tools, banks can transition from outdated infrastructures to more agile, efficient systems without starting from scratch. Machine learning models can analyse legacy code and suggest optimisations, natural language processing can simplify data extraction from old systems for integration with new platforms, and generative AI can even transform legacy code into modern programming languages or frameworks. These innovations make tackling legacy challenges feasible and transformative for long-term efficiency and scalability.Looking aheadEmbracing innovation while tackling emerging challenges will be essential for banks and financial institutions looking to succeed in this changing environment. By focusing on what customers need, investing in practical solutions, and creating a supportive workplace culture, these organisations can not only adapt but also play a key role in building a more connected and efficient financial system. The goal is to not just respond to change, but to actively shape it for the benefit of everyone involved. Gabriel Bernardi Almeida Vieira VP of Engineering, EMEA Want to learn more about how CI&T can help you harness your business's potential? Get in touch! 0