Generative AI for Financial Services on Google Cloud
Financial services leaders do not need more AI experiments. They need secure, governed and scalable ways to modernize core technology, accelerate delivery and turn enterprise data into measurable value. Publicis Sapient helps banks and insurers do exactly that by combining deep industry experience with Google Cloud technologies such as Gemini, Vertex AI and Google’s advanced data and AI services—alongside proprietary platforms including Sapient 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 modernization decision must account for resilience, compliance, security, auditability and long-term operating fit. Using our SPEED model—Strategy, Product, Experience, Engineering, and Data & AI—we help financial institutions move from fragmented pilots to production-grade AI systems that support real business workflows.
Built for the realities of banking and insurance
Banks and insurers face a distinctive set of challenges. Legacy estates can slow innovation. Data is often spread across products, channels and business units. Development teams must work within strict controls. And any use of AI must meet high standards for explainability, governance and operational oversight.
Publicis Sapient brings these priorities together. With Google Cloud, we help financial institutions modernize infrastructure, transform legacy applications, establish cloud-native data foundations and deploy generative AI in ways that align with risk and compliance requirements from the start. This means building the operating model, controls and delivery discipline around AI—not just selecting a model.
That is why our work emphasizes durable transformation:
- Secure, modern cloud foundations aligned to business and IT objectives
- Faster software development lifecycle performance through AI-assisted engineering
- Grounded AI using trusted enterprise data and knowledge sources
- Governance patterns that support auditability, monitoring and controlled rollout
- MLOps and GenAI Ops capabilities that help move from pilot to scaled adoption
Modernize the foundation for enterprise AI
In financial services, AI value depends on the quality of the underlying cloud and data environment. Publicis Sapient helps organizations build secure, resilient Google Cloud foundations that can support migration, modernization and AI adoption at scale.
Our Cloud Acceleration Platform helps institutions get cloud projects running faster while maintaining visibility and control. With modular configurations, workload-specific landing zones and built-in security controls aligned to Google best practices, CAP supports faster setup without compromising compliance. It is designed to support build, migration and ongoing operations in enterprise environments where governance cannot be an afterthought.
From there, we modernize infrastructure and applications so institutions can reduce technology drag and create a more adaptable digital core. Publicis Sapient’s application modernization approach uses human-assisted AI to support faster code transition, documentation and automated testing. For financial institutions with large legacy estates, this helps reduce manual effort while improving speed and consistency.
Accelerate software delivery with Sapient Slingshot and Gemini
For many banks and insurers, one of the most immediate AI opportunities is the software development lifecycle. Publicis Sapient applies Google Cloud capabilities and Gemini models together with Sapient Slingshot to help teams modernize faster and deliver with greater traceability.
Sapient Slingshot is designed to modernize legacy systems by turning existing code into verified specifications and generating modern software with full traceability. In regulated environments, that traceability matters. Teams need a clear line from legacy behavior to modern implementation, along with better support for testing, documentation and validation.
This is already producing meaningful results. Publicis Sapient and Google Cloud are working with a large bank to modernize infrastructure and enhance the software development lifecycle with generative AI, targeting up to 40% efficiency gains. Just as important, the work includes a comprehensive generative AI framework tailored to the bank’s risk and compliance requirements. That balance—speed with control—is central to successful AI adoption in financial services.
Ground models in enterprise data with Vertex AI
In regulated industries, generic model output is not enough. AI systems need to be grounded in current, authoritative enterprise data. Publicis Sapient helps financial institutions prepare and connect the data foundations required for reliable generative AI on Google Cloud.
Using services such as BigQuery and Dataflow, we help organizations establish data pipelines for cleaning, preparation and feature engineering at scale. On Vertex AI, we augment and ground foundation models with enterprise knowledge using techniques such as retrieval augmented generation. This allows generative AI applications to connect to trusted systems and knowledge bases so responses are anchored in approved, relevant information.
For more specialized use cases, Publicis Sapient helps clients select, tune and augment foundation models on Vertex AI. That can include accessing Gemini and other models through Model Garden and applying the right customization approach for the business problem at hand. The goal is not customization for its own sake, but models that are robust, accurate and aligned to the institution’s operating and governance standards.
Bring AI into real workflows with Sapient Bodhi
Production AI in financial services must do more than generate answers. It must support operational workflows, human decision-making and enterprise controls. Sapient Bodhi is built for that challenge.
Sapient Bodhi builds and runs enterprise-ready AI agents with the orchestration, context and governance required to scale across real business workflows. Combined with Vertex AI Agent Builder and Google Cloud’s data and AI ecosystem, Bodhi helps financial institutions deploy agentic capabilities for areas such as enterprise search, workflow augmentation, personalization, forecasting and compliance-related processes.
This is where Publicis Sapient’s approach stands apart: we focus on integrating AI into the systems, processes and teams that create business value. In banking and insurance, that could mean connecting AI outputs into document-heavy operations, customer service, internal knowledge access, case workflows or modernization programs—while maintaining human oversight and operational accountability.
Governance, risk and compliance by design
Financial institutions cannot afford to bolt governance on at the end. Publicis Sapient helps clients build responsible AI into the delivery lifecycle from the beginning.
Our work on Google Cloud emphasizes explainability, governance, robustness, stakeholder review and monitoring aligned to internal security and compliance standards. We establish MLOps and GenAI Ops foundations that automate deployment, validation, monitoring and retraining while preserving control. With Vertex AI Pipelines, Cloud Build and Cloud Composer, teams can standardize model and application lifecycle processes for enterprise-scale delivery.
We also help organizations monitor what matters after deployment: not only model performance, but drift, bias, adoption, workflow effectiveness and business outcomes. In regulated sectors, that operational discipline is essential to creating AI systems that are sustainable, auditable and trusted.
From pilot to production with a durable operating model
Many AI programs stall between proof of concept and enterprise adoption. Publicis Sapient helps financial services firms bridge that gap by building the full system around the use case: strategy, architecture, data, engineering, workflows, governance and operating model.
Through our integrated SPEED framework, we align executive ambition with product thinking, user needs, engineering execution and data readiness. We help clients identify high-value use cases, validate architecture choices, scale proofs of concept into broader solutions and build a more self-sufficient AI operating model over time.
This is how banks and insurers move beyond experimentation. They create repeatable pathways for modernization, responsible AI deployment and enterprise adoption—supported by Google Cloud’s machine learning and MLOps capabilities, and accelerated by Publicis Sapient platforms purpose-built for transformation.
Enterprise AI for financial services that delivers
For banks and insurers, generative AI should strengthen the business, not add new complexity. Publicis Sapient helps financial institutions use Google Cloud, Gemini and Vertex AI to modernize infrastructure, improve engineering productivity, ground AI in trusted enterprise data and operationalize governance for long-term success.
With Sapient Bodhi, Sapient Slingshot, CAP and our SPEED-led approach, we help financial services organizations build the foundation, workflows and controls required to move AI from pilot to production—and from promise to measurable impact.