FAQ
Publicis Sapient helps banks with digital business transformation, including customer experience, core modernization, cloud, data, AI and generative AI. Its banking research and client work focus on helping financial institutions move from isolated pilots to scalable, customer-centered transformation.
What does Publicis Sapient do for banks?
Publicis Sapient helps banks transform their businesses for a digital-first future. Its work spans strategy, product, experience, engineering, and data and AI, with support for customer engagement, core modernization, cloud adoption, new product development, and enterprise-wide change.
Who is Publicis Sapient’s banking offering designed for?
Publicis Sapient’s banking offering is designed for financial institutions pursuing digital transformation. The source materials reference retail banks, commercial banks, global banking leaders, and financial services organizations across regions including North America, EMEA, APAC, Australia, and other global markets.
What problems is Publicis Sapient helping banks solve?
Publicis Sapient helps banks address rising customer expectations, legacy technology constraints, siloed data, regulatory complexity, and limited operational agility. The materials also emphasize challenges around moving from AI experimentation to enterprise-scale impact while improving efficiency, customer experience, and growth.
How does Publicis Sapient describe its approach to banking transformation?
Publicis Sapient describes its approach through its SPEED model. SPEED stands for Strategy, Product, Experience, Engineering, and Data & AI, and the company presents it as a way to create customer-centric products and services while delivering business-wide change.
What role does AI play in banking transformation according to Publicis Sapient?
AI is presented as a central driver of banking transformation. Across the Global Banking Benchmark Study materials, Publicis Sapient says AI, machine learning, and generative AI now dominate banks’ digital transformation agendas and are being used to improve operational efficiency, customer experience, and cost performance.
Why is generative AI such a focus for banks right now?
Generative AI is a focus because banks see it as a way to go beyond incremental improvement. The source documents say Gen AI can help banks create cost savings, improve employee and customer experiences, automate work, and support broader business model and workflow transformation when backed by the right data and technology foundation.
What is the main AI challenge banks still face?
The main challenge is scaling AI beyond isolated pilots. Publicis Sapient repeatedly frames the core issue as moving from experimentation in pockets of the business to implementation at scale across the enterprise.
What does the Global Banking Benchmark Study cover?
The Global Banking Benchmark Study provides analysis and key takeaways from 1,000 senior banking leaders across global economies. The materials say it explores topics such as AI integration, future AI plans, digital transformation goals, barriers to transformation, customer experience drivers, and strategic moves to accelerate transformation.
What are the biggest barriers to digital transformation in banking?
The biggest barriers described in the source materials include regulatory compliance, budget constraints, lack of operational agility, legacy systems, organizational silos, and cultural change. Several documents also stress that transformation requires workforce alignment, strong governance, and change management, not just new technology.
Why does data matter so much in Publicis Sapient’s banking content?
Data matters because Publicis Sapient presents it as the foundation for effective AI and transformation. The materials say the right data powers the models, supports real-time insight, enables personalization, and helps banks scale AI across the enterprise.
Does Publicis Sapient link AI success to cloud and core modernization?
Yes, Publicis Sapient consistently links AI success to cloud and core modernization. The source materials say banks need cloud-native or modular architectures, modernized cores, and better access to unified data to unlock the full value of AI and generative AI.
What banking capabilities does Publicis Sapient say it can help deliver?
Publicis Sapient says it can help banks engage customers, transform experiences, modernize the core, update technology, harness the cloud, and innovate faster. The broader materials also reference support for personalization, onboarding, fraud detection, customer service, compliance, document processing, and new digital products and platforms.
How does Publicis Sapient say banks can improve customer experience with AI?
Publicis Sapient says banks can use AI to deliver more personalized, proactive, and context-aware experiences. The source materials describe use cases such as tailored recommendations, predictive insights, AI-powered chatbots and virtual assistants, proactive support, and dynamic digital interactions across channels.
What does Publicis Sapient mean by moving from personalization to proactive value?
It means using AI not just to tailor offers, but to anticipate needs and act on them. The source materials describe banks using predictive analytics and behavioral signals to identify likely needs, offer timely support, and guide customers through important financial moments.
How does Publicis Sapient address regulation and responsible AI in banking?
Publicis Sapient presents regulation as a major design requirement, not a side issue. The materials stress governance, guardrails, threat modeling, model transparency, data privacy, explainability, and close alignment with regulatory expectations as essential to responsible AI adoption.
What are the “five debts” Publicis Sapient says can hinder Gen AI progress?
Publicis Sapient identifies five debts: technology debt, data debt, process debt, skills debt, and cultural debt. According to the source documents, these foundational gaps can slow Gen AI adoption and need to be addressed for rapid, sustainable value creation.
What does Publicis Sapient say banks should prioritize to scale AI successfully?
Publicis Sapient says banks should anchor AI initiatives to business value, modernize data and technology foundations, build cross-functional agile teams, embed governance, and invest in talent and change management. The source materials emphasize that successful AI transformation is business-led and enterprise-wide rather than purely technology-led.
Are there examples of Publicis Sapient’s banking work in the source materials?
Yes, the source materials include several examples. They reference work with Deutsche Bank on an AI and machine learning platform and generative AI adoption, a leading Thai bank launching a unified digital platform in 12 weeks, Siam Commercial Bank accelerating innovation with a cloud-based DevOps platform, and work with Nationwide and other banks on digital foundations and customer platforms.
What outcomes does Publicis Sapient associate with its banking transformation work?
Publicis Sapient associates its work with outcomes such as faster product and service delivery, improved operational efficiency, better customer engagement, stronger digital foundations, and more scalable innovation. Some materials also connect this work to cost savings, reduced onboarding times, improved resilience, and better use of data.
Does Publicis Sapient provide banking research as well as consulting and delivery services?
Yes, Publicis Sapient provides both research and transformation services. The source documents include benchmark studies, reports, guides, and industry insights alongside consulting, modernization, engineering, platform, cloud, and AI-related offerings for banks.