Our end-to-end Generative AI solutions on Google Cloud guides clients through the entire AI adoption lifecycle to turn complex data into measurable business value and sustained competitive advantage.

We leverage the full power of Google’s ecosystem, including Vertex AI and Gemini models, alongside our proprietary platforms like Bodhi and Sapient Slingshot, to build, deploy, and scale enterprise-grade Gen AI systems. Our approach is rooted in its integrated SPEED framework (Strategy, Product, Experience, Engineering, Data & AI), which ensures solutions are holistically integrated across business strategy, user experience, engineering, and data quality.

Discover our specialized Generative AI services below.

A successful Generative AI solution is grounded in high-quality, prepared data and reliable knowledge bases. We establish the robust data pipelines required for sophisticated Gen AI applications, performing large-scale data cleaning, labeling, and feature engineering at scale. We possess expertise in leveraging Google Cloud tools, including BigQuery and Dataflow, for preparing and managing the large-scale datasets necessary for training or grounding models. Crucially, we utilize Vertex AI to augment and ground foundation models with enterprise data. This includes using techniques like Retrieval Augmented Generation (RAG), allowing models to connect to enterprise systems and knowledge bases (such as AlloyDB and BigQuery) to retrieve current, authoritative information.

We guide clients through selecting, tuning, and augmenting foundation models tailored to their unique business challenges. Using Vertex AI Model Garden, we discover and access over 150 models, including the latest versions of Gemini, partner models like Claude, and popular open models. Our teams customize these models using Vertex AI via various techniques, including fine-tuning, Reinforcement Learning with Human Feedback (RLHF), distilling, and adapter-based tuning techniques such as Low Rank Adaption (LORA). We specifically implement solutions requiring fine-tuning utilizing Gemini API and other 1P or 3P models from Model Garden to ensure they are robust, accurate, and aligned with client objectives.

Together with Google Cloud, Publicis Sapient designed and integrated a comprehensive generative AI framework leveraging Google's Gemini models. The framework was specifically tailored to the bank's stringent risk and compliance requirements, demonstrating expertise in customizing foundational models to meet security and governance standards in highly sensitive industries.

For customer and operational transformation, we build sophisticated, end-to-end Generative AI applications using agentic frameworks. We deploy enterprise-ready generative AI experiences using Vertex AI Agent Builder, which provides tools to build and deploy agents (Chat, Search, or Agent apps) that are grounded in trustworthy data. Furthermore, we leverage our proprietary Bodhi platform, which provides reusable agentic capabilities for Enterprise Search, Personalization, Compliance automation, and Forecasting. This allows for the rapid deployment of applications that augment human capabilities and transform customer engagement.

We establish robust MLOps foundations to automate the deployment, monitoring, and retraining of Generative AI models at scale. We ensure enterprise-grade security and governance is maintained throughout the lifecycle. This includes developing solutions with an ethics-first, human-centered philosophy and leading with offerings in "Ethics, governance and risk" to address C-level concerns. We implement security policies leveraging best practices like Google’s Secure AI Framework (SAIF) and ensure high availability and resilience for Gen AI applications. We also establish monitoring systems using tools like Google Cloud Observability to track model performance, detect data drift and bias, and perform performance and cost optimization.

Enterprises address the need for greater speed and personalization in customer engagement by optimizing the core Content Supply Chain (CSC), which we define as the end-to-end process spanning ideation, production, management, distribution, and reporting. The focus is on unlocking content velocity by tightly integrating MarTech architecture with organizational processes.

We leverage Generative AI to accelerate content delivery, enabling businesses to distribute personalized content at scale and transform customer engagement through external, revenue-generating applications like hyper-personalized content creation and campaign optimization. We utilize Google Cloud's platform to build Gen AI solutions for marketing and sales using proprietary AI tools and Google’s Gemini models, ensuring efficiency that has a direct impact on margins by reducing duplicate work and improving team collaboration. We also design solutions that incorporate advanced models like Google's Veo (for video generation) and Imagen (for image generation) to automate the production of customized digital media.

Publicis Sapient leveraged AI-powered solutions to automate and scale the creation and delivery of personalized marketing campaigns and content for a global pharma leader. This solution achieved a substantial 45% efficiency gain, representing a reduction in content creation costs.