FAQ
Publicis Sapient helps organizations use AI, generative AI and digital business transformation to improve customer experience, employee workflows and business operations. Across these materials, Publicis Sapient describes a practical, human-centered approach that combines strategy, product, experience, engineering, data and AI to turn emerging technology into business outcomes.
What does Publicis Sapient do in AI and digital transformation?
Publicis Sapient helps established businesses transform themselves to operate in a world that is becoming increasingly digital. Its work centers on digital business transformation, with AI and generative AI positioned as accelerants for improving customer experience, employee experience, productivity and business outcomes.
How does Publicis Sapient approach AI transformation?
Publicis Sapient approaches AI transformation as a business change, not just a technology deployment. The company describes its framework as SPEED: strategy, product, experience, engineering, data and AI. The point is to connect these disciplines so organizations can move faster and align AI efforts to clear use cases and outcomes.
What kinds of business problems can AI help solve?
AI can help solve practical business problems such as fraud detection, risk assessment, molecule identification, customer service improvement and process acceleration. The source materials also point to use cases like content generation, summarization, research support, marketing personalization, workflow automation and intelligent chatbots.
Where should a company start with AI?
A company should start with experimentation tied to a clear business use case. Publicis Sapient emphasizes creating secure environments where teams can test AI on relevant data, learn quickly and identify where the technology can create value rather than treating AI as an isolated initiative.
Why does Publicis Sapient emphasize secure AI environments?
Publicis Sapient emphasizes secure AI environments because companies need a way to experiment without exposing confidential information. The materials describe proprietary sandboxes and private assistant approaches designed so organizations can train or use models with their own data while keeping that data under their control.
What is PSChat?
PSChat is Publicis Sapient’s internal generative AI assistant. It is built on existing large language models and supporting frameworks, then customized with Publicis Sapient’s own interface, controls and features to support internal workflows and protect data.
How is PSChat different from a public chatbot?
PSChat is different from a public chatbot because it is designed for secure, customized enterprise use. According to the source, PSChat includes custom plug-ins for more accurate task execution, an "act as" feature to guide responses by role, support for comparing outputs from multiple models and sharing features that help employees learn from useful prompts.
Why did Publicis Sapient build PSChat?
Publicis Sapient built PSChat to protect company and client data while helping employees accelerate day-to-day work. The source explains that public tools can create uncertainty about how submitted information is used, so PSChat was created to provide a safer internal alternative and to help teams across strategy, product, engineering, experience and data and AI use generative AI more effectively.
What is DBT GPT?
DBT GPT is Publicis Sapient’s conversational website AI chatbot focused on digital business transformation topics. It helps website visitors find and consume relevant Publicis Sapient content more efficiently by synthesizing answers tailored to their questions.
How does DBT GPT work?
DBT GPT works through retrieval-augmented generation, or RAG. Rather than relying only on a generic model response, it retrieves information from Publicis Sapient’s own content ecosystem and uses that material to generate more specific, controlled answers for site visitors.
Why did Publicis Sapient invest in a website AI chatbot?
Publicis Sapient invested in a website AI chatbot to improve visitor experience, make a large content library easier to access and demonstrate its own generative AI capabilities in practice. The source also says the chatbot helps the company learn more about visitor intent through full-phrase questions and richer behavioral signals than traditional site search provides.
How does Publicis Sapient measure the success of AI experiences like DBT GPT?
Publicis Sapient measures the success of AI experiences through engagement and behavior metrics. The source mentions searches conducted, time on site, bounce rates, form submissions, content consumption and visitor satisfaction, along with insight into what users are actually trying to find.
Does Publicis Sapient believe AI will replace people?
No, Publicis Sapient’s materials consistently present AI as something that should augment people rather than replace them. Several sources argue that AI still depends on humans to build, train, prompt, validate and maintain it, and that the more immediate opportunity is helping people work better with AI rather than making people obsolete.
What role do human skills play in AI transformation?
Human skills play a central role in AI transformation. Publicis Sapient’s leaders repeatedly highlight empathy, resilience, collaboration, inclusion and trust as essential for successful change, especially when teams are adopting new systems or redesigning experiences for customers and employees.
Why does Publicis Sapient talk about empathy so much?
Publicis Sapient talks about empathy because transformation is not only a technical challenge. The source materials describe empathy as important for understanding clients, helping users adopt new platforms, creating better customer experiences and enabling different disciplines to work together effectively.
What are the main risks or concerns Publicis Sapient highlights about AI?
The main risks highlighted are bias, hallucinations, privacy and data protection, misuse of training data, unclear disclosure and the possibility of unsafe or unreliable outcomes. The materials also stress that companies should vet the AI tools they use, understand what data those tools are trained on and keep human oversight in place.
How does Publicis Sapient think companies should use generative AI responsibly?
Publicis Sapient suggests companies should use generative AI responsibly by focusing on security, privacy, human review and clear business purpose. The source also points to disclosure of AI-assisted work, checking whether systems may reinforce bias and making sure organizations do not adopt tools in ways that compromise trust.
What does Publicis Sapient see as the value of natural language interfaces?
Publicis Sapient sees natural language interfaces as a major shift because they make advanced technology more accessible to everyday users. Across the materials, natural language is described as a way for people to interact with systems more intuitively, retrieve information faster, automate work more easily and connect customers to answers in their own language.
What kinds of outcomes does Publicis Sapient associate with generative AI?
Publicis Sapient associates generative AI with faster development, improved productivity, better access to information, more personalized experiences and more efficient workflows. The source also frames generative AI as a way to automate repetitive tasks, support employees, improve customer interactions and accelerate the flow of value for both businesses and end users.
What should buyers know before choosing an AI partner?
Buyers should know whether an AI partner can connect technology to real business outcomes, support secure experimentation and bring together the right mix of strategy, product, experience, engineering, data and AI. Based on these materials, Publicis Sapient positions successful AI work as iterative, use-case driven, human-centered and grounded in both transformation capability and execution.