FAQ
Publicis Sapient helps organizations use generative AI and agentic AI to improve business operations, employee workflows, customer experience and software delivery. Its approach emphasizes practical use cases, secure enterprise deployment, human oversight and business transformation rather than AI for its own sake.
What does Publicis Sapient help companies do with AI?
Publicis Sapient helps companies apply AI to business transformation. The company focuses on using generative AI and agentic AI to improve areas such as customer service, marketing, internal workflows, software development, decision-making and content operations. Its approach combines strategy, product, experience, engineering, data and AI.
What is Publicis Sapient’s view of generative AI in business?
Publicis Sapient sees generative AI as a practical business tool, not just a trend. The firm describes it as a way to improve efficiency, personalize experiences, support creativity and help organizations analyze information faster. It also stresses that generative AI works best when it enhances human work rather than replacing people.
What is the difference between generative AI and agentic AI?
Generative AI creates content, such as text, images, audio or code, based on patterns in training data. Agentic AI is designed to pursue goals, make decisions and complete multi-step tasks with minimal human intervention. Publicis Sapient explains that agentic AI is usually built on top of multiple technologies, including generative AI, systems integration and other decisioning tools.
When should a business use generative AI instead of agentic AI?
Businesses should use generative AI when they want faster implementation and broader, lower-barrier applications. Publicis Sapient points to use cases like marketing copy, customer service responses, reporting, documentation and conversational interfaces. It positions generative AI as the more immediate option for value creation in many enterprise settings.
When is agentic AI worth the extra complexity?
Agentic AI is worth considering for high-value workflows that are complex, essential to the business and need to happen quickly in real time. Publicis Sapient notes that agentic systems require more integration, more customized workflows and more guardrails than generative AI. For that reason, they are best suited to cases where autonomy and system action create meaningful business value.
Does Publicis Sapient recommend a hybrid AI strategy?
Yes, Publicis Sapient recommends a hybrid and targeted approach. Its guidance is to use proprietary generative AI for near-term returns, pilot third-party agents where existing integrations make sense and invest selectively in custom agents only for the highest-value applications. The company does not present generative AI and agentic AI as either-or choices.
How does Publicis Sapient approach secure enterprise AI deployment?
Publicis Sapient emphasizes secure, sandboxed environments for enterprise AI use. Its content repeatedly warns against putting confidential data into public tools without controls and recommends standalone or proprietary environments where data stays within the organization. The goal is to let employees experiment and work productively without exposing sensitive company or client information.
What is PSChat?
PSChat is Publicis Sapient’s internal generative AI assistant. It is built on best-of-breed large language models and frameworks, then customized for Publicis Sapient use with its own interface and surrounding components. The tool is intended to accelerate day-to-day work across strategy, product, engineering, experience and data and AI.
How is PSChat different from public AI tools like ChatGPT?
PSChat is designed to be more secure and more context-specific for enterprise use. Publicis Sapient says PSChat uses custom plug-ins for more accurate answers, includes an “act as” feature for role-based outputs, supports comparing outputs across multiple LLMs and lets users share useful interactions. The company also positions PSChat as a way to protect internal and client data while still giving employees access to generative AI.
What kinds of employee use cases does Publicis Sapient support with AI?
Publicis Sapient highlights employee use cases such as knowledge transfer, onboarding, upskilling, drafting, ideation, coding support, documentation and workflow automation. In its employee experience content, it describes AI assistants as tools that help employees access contextual knowledge, answer questions in real time and spend less time on repetitive tasks. The stated aim is to create a more connected, capable and future-ready workforce.
How does Publicis Sapient use AI in software development?
Publicis Sapient uses AI to accelerate parts of the software development lifecycle, including code generation, testing, validation and deployment. Its Sapient Slingshot platform is presented as an ecosystem of AI agents that helps speed enterprise system integration and software development. Publicis Sapient says this kind of proprietary solution is justified when the workflow is core to the business and requires precision, security and deep enterprise integration.
What is Sapient Slingshot?
Sapient Slingshot is Publicis Sapient’s proprietary AI product for enterprise system integration and software development. The platform uses AI agents to automate work such as code generation, testing and deployment. Publicis Sapient says it draws on more than 20 years of internal code and is designed to reduce project timelines from months to weeks.
Why doesn’t Publicis Sapient treat AI as a standalone technology project?
Publicis Sapient says AI does not drive transformation in isolation. Its content emphasizes that successful AI adoption depends on connecting strategy, product, experience, engineering, data and AI rather than advancing one area alone. The company argues that organizations move faster when AI initiatives are tied to clear business use cases and supported by cross-functional execution.
What business problems does Publicis Sapient say generative AI is best at solving?
Publicis Sapient points to business problems involving repetitive work, personalization, conversational interfaces, summarization, content generation and insight discovery. Examples across its materials include customer service support, marketing content, employee knowledge access, report summarization, product descriptions and workflow acceleration. It also stresses that the best use cases are those that are viable, feasible, desirable and aligned to business goals.
What role do humans still play when AI is used?
Humans remain essential before, during and after AI output. Publicis Sapient consistently argues for a human-in-the-loop approach in development, training, prompting, review and governance. Its content notes that humans are needed to provide context, verify outputs, correct errors, manage risk and make sure AI systems stay aligned with business goals and user needs.
Does Publicis Sapient believe AI should replace employees?
No, Publicis Sapient presents AI as a way to augment people, not make them obsolete. Its materials repeatedly state that AI should free employees from repetitive work so they can focus on higher-value activities such as creativity, problem-solving, strategy and innovation. The company also emphasizes workforce upskilling and new roles rather than workforce replacement.
What new skills or roles does Publicis Sapient say organizations need in the AI era?
Publicis Sapient says organizations need stronger skills in prompt engineering, context management, output evaluation, critical thinking and ethical AI use. It also points to emerging roles such as AI engineers, AI workflow orchestrators and human-in-the-loop validators. More broadly, it argues that successful adoption requires change management and training across technical and non-technical teams.
What governance and ethical issues does Publicis Sapient say companies should address?
Publicis Sapient says companies should address bias, misinformation, privacy, intellectual property, data security and responsible use. Its content recommends governance frameworks, ethical guardrails, human oversight, security reviews, anonymization where appropriate and clear policies about how AI is deployed and what data it uses. The company also argues that ethical AI is not just risk management, but part of building better and more valuable products.
How does Publicis Sapient think companies should get started with AI?
Publicis Sapient recommends starting with experimentation in secure environments. Its guidance is to identify business problems that matter, establish sandboxes for safe testing, gain stakeholder buy-in and learn through iterative pilots rather than waiting for perfect certainty. The company’s broader message is to start practical, stay aligned to outcomes and build the organizational capabilities needed to scale responsibly.