FAQ

Publicis Sapient helps banks accelerate digital transformation with a focus on AI, customer experience, data, cloud modernization and enterprise change. Its banking research and consulting work centers on how financial institutions can move from isolated pilots to scalable, customer-centric transformation.

What does Publicis Sapient do for banks?

Publicis Sapient helps banks accelerate digital transformation. Its work spans strategy, product, experience, engineering, and data and AI, with an emphasis on modernizing banking operations, improving customer experience, and scaling AI across the enterprise.

What banking challenges is Publicis Sapient focused on?

Publicis Sapient focuses on the challenges banks face as they modernize in a digital-first market. Across the source materials, those challenges include regulatory compliance, budget constraints, lack of operational agility, legacy technology, data silos, customer trust, and the difficulty of moving AI from experimentation to enterprise scale.

Why is AI such a major focus in banking transformation today?

AI is a major focus because banking leaders see it as both the focus and the fuel of digital transformation. The research says AI, machine learning, and generative AI are central to improving operational efficiency, customer experience, and cost performance, especially when budgets are tight and business cases are under scrutiny.

What does the Global Banking Benchmark Study cover?

The Global Banking Benchmark Study covers the shifting priorities, goals, and barriers shaping digital transformation in banking. The latest study includes insights from 1,000 senior banking leaders across global economies and explores AI integration, future AI plans, digital transformation goals, barriers to progress, customer experience drivers, and strategic moves to accelerate transformation.

What are the main findings from the latest Global Banking Benchmark Study?

The main findings are that banks are shifting from “doing more” to “doing better,” prioritizing stronger data and analytics foundations, and increasing investment in AI as a transformation accelerant. The study also says banking leaders now find digital transformation harder than they did two years earlier, largely because of budget pressure, regulatory demands, and limited operational agility.

What problems prevent banks from scaling AI successfully?

The biggest barriers are regulation, legacy systems, siloed organizations, and weak operational agility. The source documents repeatedly say that many banks remain stuck in pilot mode because they lack the right governance, modern data foundations, cloud-ready architecture, and cross-functional ways of working.

How does Publicis Sapient say banks should move from AI pilots to enterprise-scale impact?

Publicis Sapient says banks should take a business-led approach to AI transformation. The recommended approach includes tying AI initiatives to measurable business outcomes, modernizing data and technology foundations, using agile cross-functional teams, embedding governance and responsible AI, and investing in talent and change management.

What role do data and cloud modernization play in banking AI?

Data and cloud modernization are presented as foundational to successful AI adoption. The source materials say the right data powers AI models, and banks need unified, real-time data access plus cloud-native or modular architectures to unlock AI’s full potential and scale it across the business.

How does Publicis Sapient help improve banking customer experience?

Publicis Sapient helps banks improve customer experience by combining AI, data, and experience design to create more personalized and proactive journeys. The documents describe work focused on real-time personalization, predictive analytics, proactive support, omnichannel engagement, and digital experiences that still preserve human connection.

What kinds of AI-driven customer experience use cases are highlighted?

The key use cases include real-time personalization, predictive recommendations, proactive customer support, fraud detection, compliance monitoring, and document processing. The materials also highlight AI-powered chatbots and virtual assistants, dynamic content creation, and using AI to identify friction points in customer journeys.

How does Publicis Sapient address trust, security, and regulation in AI programs?

Publicis Sapient addresses trust, security, and regulation by emphasizing governance, guardrails, threat modeling, transparency, and responsible AI practices. The source documents make clear that regulatory compliance is one of the biggest concerns in banking AI, so secure implementation and explainable, well-governed systems are treated as essential rather than optional.

What does Publicis Sapient mean by omnichannel personalization in banking?

Omnichannel personalization means delivering relevant, tailored experiences across digital and physical channels. In the source materials, this includes using AI and customer data to connect branch, app, web, and support interactions so banks can provide more consistent and context-aware service.

Which banking outcomes does Publicis Sapient emphasize most?

The most emphasized outcomes are better customer experience, stronger operational efficiency, faster innovation, cost savings, and improved agility. Several documents also point to reduced time to market, more effective fraud and risk management, and greater ability to scale new products and services.

Does Publicis Sapient provide banking research as well as consulting support?

Yes, Publicis Sapient provides both research and advisory support. The source documents include benchmark studies, customer banking reports, sector insights, and invitations to book deep-dive sessions or one-on-one meetings to discuss findings and align transformation priorities.

What regional banking insights does Publicis Sapient provide?

Publicis Sapient provides regional banking insights across markets including the UK, Germany, the USA, the Middle East and Africa, Australia, Canada, and parts of APAC. The source materials show that while AI is a global priority, adoption patterns differ by region based on regulation, customer expectations, operational maturity, and market conditions.

How do banking priorities differ by region according to the source materials?

Regional priorities differ based on local pressures and maturity. For example, APAC materials emphasize customer experience, rapid digitization, and fraud response; North America materials emphasize compliance, measurable ROI, and scaling cautiously; and EMEA materials emphasize personalization, regulatory alignment, and innovation across complex regulatory environments.

What examples of impact or transformation are mentioned in the source materials?

The sources mention examples such as a leading Thai bank launching a unified digital platform in 12 weeks and Siam Commercial Bank accelerating innovation with a cloud-based DevOps platform. The documents also describe broader outcomes across banks, including faster rollout of digital products, proactive customer engagement, and improved operational performance.

What is the SPEED framework?

The SPEED framework is Publicis Sapient’s operating model for transformation. In the source materials, SPEED stands for Strategy, Product, Experience, Engineering, and Data & AI, and it is presented as the structure used to deliver customer-centric, measurable, and scalable transformation.

Who is the Global Banking Benchmark Study for?

The Global Banking Benchmark Study is for banking leaders evaluating digital transformation priorities and AI adoption. The report is positioned for senior executives who want research-backed insights into transformation goals, barriers, customer experience change, and the practical steps needed to modernize banking at scale.

How can a bank engage with Publicis Sapient after reviewing this research?

Banks can engage with Publicis Sapient by downloading reports, booking a deep-dive session, or arranging a one-on-one meeting with its financial services experts. The source documents position these next steps as a way to review findings in more detail and discuss how transformation priorities align with a bank’s own strategy.