Generative AI for Financial Services on Google Cloud

Financial institutions do not need more disconnected AI experiments. They need a secure, governed and scalable way to turn promising pilots into production-grade capabilities that can withstand regulatory scrutiny, support modernization and deliver measurable value. Publicis Sapient helps banks, insurers and wealth managers do exactly that by combining Google Cloud technologies such as Vertex AI, Gemini, BigQuery, Dataflow and Agent Builder with our integrated SPEED model and proprietary accelerators including Bodhi, Sapient Slingshot and Cloud Acceleration Platform.

Our focus is not AI in isolation. It is digital business transformation for highly regulated environments, where every decision must account for resilience, explainability, auditability, privacy, security and long-term operating fit. Using SPEED—Strategy, Product, Experience, Engineering and Data & AI—we help financial services organizations move from fragmented proof of concepts to governed AI systems that support real business workflows.

Built for highly regulated financial environments

Banks, insurers and wealth managers face a distinctive challenge set. Legacy estates slow change. Data is often fragmented across products, channels and business units. Teams must operate within strict controls. And any AI initiative must satisfy high expectations for governance, transparency and operational oversight.

Publicis Sapient brings these priorities together. On Google Cloud, we help financial institutions modernize infrastructure, improve the software delivery lifecycle, establish trusted data foundations and operationalize generative AI in ways that align with risk and compliance requirements from day one. That means building the controls, operating model and engineering discipline around AI—not just selecting a model.

Our approach is designed to support durable transformation:

Turn enterprise data into trusted AI outputs

In financial services, generic model output is not enough. Compliance officers need answers tied to approved sources. Risk leaders need traceability and auditability. Advisors need responses grounded in current research, policies, product information and customer context.

That is why Publicis Sapient emphasizes enterprise data grounding as a core requirement for production AI. Using BigQuery and Dataflow, we help institutions build robust pipelines for large-scale data cleaning, labeling, preparation and feature engineering. On Vertex AI, we augment and ground foundation models with enterprise knowledge using retrieval-augmented generation, connecting models to authoritative data sources and knowledge bases so outputs reflect current, approved information rather than generic responses.

This grounding approach improves relevance while reducing the risks associated with unsupported or inaccurate outputs. It also creates a stronger foundation for explainability, oversight and adoption across regulated workflows.

Priority use cases for banks, insurers and wealth managers

Publicis Sapient helps financial services firms focus on use cases where generative AI can create value while strengthening control.

Compliance monitoring and policy adherence

Generative AI can help review transactions, communications and documentation for regulatory alignment, reducing manual effort and helping compliance teams focus on higher-value oversight and investigation.

Risk analysis and fraud support

Financial institutions generate vast volumes of structured and unstructured data. Generative AI can synthesize this information, surface anomalies, support investigative workflows and help teams identify emerging risks faster.

Contextual knowledge search for advisors and portfolio teams

For wealth managers and banking advisors, speed and confidence depend on timely access to the right information. We build contextual search and knowledge experiences that bring together research, policies, product data and enterprise knowledge directly into user workflows.

Personalized customer engagement

Generative AI can power more relevant support, clearer communication and more tailored engagement across channels. For financial services firms, that means improving customer and policyholder interactions while maintaining the sensitivity, control and trust these relationships require.

From model access to enterprise applications

Publicis Sapient combines the breadth of Google Cloud’s AI ecosystem with the delivery discipline required in regulated industries.

With Vertex AI and Gemini, we help clients select, tune and augment foundation models for specific business challenges. Using Vertex AI Model Garden, teams can access Gemini and other foundation models and apply the right customization approach, including fine-tuning, reinforcement learning with human feedback, distillation and LoRA-based tuning where appropriate. The goal is not customization for its own sake, but models that are robust, accurate and aligned with enterprise objectives and governance standards.

We also build enterprise-ready chat, search and agent experiences using Vertex AI Agent Builder. These applications are grounded in trustworthy data and designed to support real workflows rather than standalone demos.

Bodhi adds reusable capabilities that accelerate deployment for high-value use cases such as enterprise search, personalization, compliance automation and forecasting. That helps organizations move faster from prototype to operational capability while maintaining consistency and control.

Modernize the core while accelerating delivery

Production AI in financial services depends on more than the model layer. It depends on the strength of the underlying cloud, data and engineering environment.

Cloud Acceleration Platform helps institutions stand up Google Cloud foundations faster with ready-made toolkits, automated landing zones and built-in controls that improve consistency and support compliance from the start. This enables faster setup without treating governance as an afterthought.

Sapient Slingshot helps accelerate software delivery and modernization. In regulated environments, modernization must preserve traceability from legacy behavior to modern implementation while improving support for testing, documentation and validation. Publicis Sapient applies AI-assisted engineering to reduce technology drag, improve consistency and speed core transformation programs.

This is especially relevant for financial institutions balancing AI ambitions with complex legacy estates. By modernizing the core technology environment and the software development lifecycle in parallel, firms can create a more resilient and adaptable foundation for broader AI adoption.

Governance, auditability and resilience by design

Governance cannot be added after a prototype succeeds. Financial services organizations need responsible AI embedded from the beginning.

Publicis Sapient establishes MLOps and GenAI Ops foundations to automate deployment, monitoring and retraining while preserving enterprise-grade security and oversight. Our approach emphasizes ethics-first, human-centered delivery with strong attention to privacy, transparency, accountability and compliance.

We help clients implement lifecycle practices that support:
Using Google Cloud best practices and secure deployment patterns, institutions can operationalize AI with the discipline required for regulated environments.

Proof that the approach works in financial services

Publicis Sapient has already helped major financial institutions build the foundation for enterprise AI.

At Deutsche Bank, we built and validated the core enterprise-wide AI and machine learning platform and infrastructure that now serves as the bedrock for future AI innovation. That foundational work helped define use cases, operating models and adoption plans, preparing a complex and regulated organization to scale generative AI across divisions.

Together with Google Cloud, we also designed and integrated a comprehensive generative AI framework for a leading global bank, specifically tailored to stringent risk and compliance requirements. The work demonstrated how Gemini-based capabilities can be adapted to meet demanding security, governance and control standards in a highly sensitive environment.

Publicis Sapient has also delivered measurable value in advisor knowledge workflows. In one wealth management engagement, a contextual search experience reduced search response times by 80%, and more than 90% of advisors identified it as their favorite feature. That kind of improvement matters when better information access directly shapes guidance quality and client outcomes.

Move from pilots to governed production

The institutions that win with generative AI will be the ones that connect innovation to modernization, governance and execution discipline. Publicis Sapient helps financial services firms build that full system: the strategy, architecture, data foundation, engineering model, workflow integration and governance required to scale responsibly.

With Vertex AI, Gemini, BigQuery, Dataflow and Agent Builder—combined with SPEED, Bodhi, Sapient Slingshot and Cloud Acceleration Platform—we help banks, insurers and wealth managers move beyond experimentation. The result is a practical path to operationalize AI in highly regulated environments: grounded in enterprise data, designed for auditability, built for resilience and ready for measurable business impact.