PUBLISHED DATE: 2025-06-02 23:02:34
Artificial Intelligence Consulting | Publicis Sapient
Artificial Intelligence Consulting
The time for talking about AI is over. Let’s get to work.
- Our Approach
- AI Platforms
- Knowledge Hub
- Solutions
- FAQs
- Let’s Connect
Go beyond AI
We don’t need to sell you on the benefits of AI. You already know the huge disruptive potential it wields. And even if you haven’t already implemented AI in some way, you’re thinking about it, right?
Enter Publicis Sapient. Some consultancies will blind you with buzzwords. Not us. We roll up our sleeves and make AI happen — for you. With our proprietary AI platform, Sapient Slingshot, we'll infuse AI into the very DNA of your business, preparing your tech stack — and your people — for what’s next. And while we’re focused on your tech, we never take our eye off what truly matters: enhancing the human brilliance at your core. Let’s go beyond AI together. Start your transformation today.
- 30 + years digital transformation expertise
- 20,000 + experts ready to transform your business
- 53 + worldwide offices
- 5 + AI partners
The 2025 Generative AI Innovation Report
Gen AI has transformed the world. But how can it transform your business? Dive into our report to discover where you can maximize AI in 2025 and beyond.
Download report
Our holistic AI approach
- Human-centered AI
Help your workforce embrace AI as a partner, not a replacement
Learn more
Add to favorite, Human-centered AI
- Innovation and technology
Deploy scalable new technologies at speed
Learn more
Add to favorite, Innovation and technology
- Data
Transform your data into value, securely
Learn more
Add to favorite, Data
Agile in the age of AI: The new manifesto
As AI creates new and better ways of developing software, how do you integrate the principles of Agile while keeping pace with the latest innovations? Discover the AI-Assisted Agile Manifesto, our unique update to the Agile Manifesto for Software Development, and your guiding light to blending classic agile principles with AI strategies.
Learn more
Knowledge hub
Picked for you
- Client story: How Marriott customers can find their perfect holiday home with AI
Learn more
Add to favorite, How Marriott customers can find their perfect holiday home with AI
- Insight: The 2025 generative AI innovation report
Learn more
Add to favorite, The 2025 generative AI innovation report
- Insight: The Generative AI Risk Management Playbook
Learn more
Add to favorite, The Generative AI Risk Management Playbook
- Insight: Top Five Things CIOs Need to Know About AI-Driven Software Development
Learn more
Add to favorite, Top Five Things CIOs Need to Know About AI-Driven Software Development
- Client story: Empowering healthcare marketing with Gen AI
Learn more
Add to favorite, Empowering healthcare marketing with Gen AI
Tell me more
- Client story: How Marriott customers can find their perfect holiday home with AI
Learn more
Add to favorite, How Marriott customers can find their perfect holiday home with AI
- Client story: How Nissan increased conversion with AI
Learn more
Add to favorite, How Nissan increased conversion with AI
- Client story: Boosting efficiency with AI-powered search
Learn more
Add to favorite, Boosting efficiency with AI-powered search
- Client story: How L’Oréal boosted sales with a new commerce platform
Learn more
Add to favorite, How L’Oréal boosted sales with a new commerce platform
- Client story: Inside Deutsche Bank's gen AI transformation
Learn more
Add to favorite, Inside Deutsche Bank's gen AI transformation
Explore all client stories
- Insight: The executive guide to AI-assisted software development
Learn more
Add to favorite, The executive guide to AI-assisted software development
- Insight: 3 lessons from the dot-com bubble for the AI boom
Learn more
Add to favorite, 3 lessons from the dot-com bubble for the AI boom
- Insight: Are AI ethics the new ESG?
Learn more
Add to favorite, Are AI ethics the new ESG?
- Insight: Inside DBT GPT: Publicis Sapient’s website AI chatbot
Learn more
Add to favorite, Inside DBT GPT: Publicis Sapient’s website AI chatbot
- Insight: The 2025 generative AI innovation report
Learn more
Add to favorite, The 2025 generative AI innovation report
Explore all insights
Solutions
Our AI solutions
With our tailored AI offerings, we’ll help you uncover, prioritize and implement the highest-value use cases for your unique goals. Our solutions include:
- Sapient AI for Enterprise
- Sapient AI for Applications
- Sapient AI for Marketing
- Sapient AI for Sales
Explore our solutions
Our AI partnerships
We’re partner agnostic, so we’ll match you to the perfect ally for your AI transformation. Check out how our Salesforce practice empowers clients with an approach centered on harnessing the tangible, real-time benefits of AI.
Learn more
Add to favorite, Explore how we’re partnering with Adobe to activate AI solutions that optimize revenue, workflows, personalization and customer engagement.
Learn more
Add to favorite, Discover how we partner with Google Cloud and its robust suite of tools to help clients accelerate the deployment of AI solutions on Google Cloud.
Learn more
Add to favorite, Find out how our work with Microsoft ensures ethics are at the core of our joint solutions to promote the responsible development of AI.
Learn more
Add to favorite, Discover how, together with AWS, we’re deploying game-changing AI solutions.
Learn more
Add to favorite,
Artificial intelligence FAQs
- How does artificial intelligence work?
AI simulates human intelligence processes through algorithms and machine learning models. It can automate tasks, analyze data for insights and predict outcomes, enhancing your efficiency and decision-making capabilities.
- How should I prepare for AI implementation?
Begin with a comprehensive AI strategy consulting session to assess needs and capabilities. Upskilling your workforce and fostering a culture open to technological change are crucial steps, along with evaluating data readiness and infrastructure compatibility.
- What business challenges can AI help me solve?
AI offers solutions to a wide range of business challenges, such as improving customer service through chatbots, optimizing supply chain logistics, enhancing personalized marketing efforts and providing predictive analytics for better decision making.
- How will artificial intelligence shape the future of industries?
AI is widely predicted to drive innovation by automating routine tasks, creating more personalized customer experiences and enabling data-driven decision-making.
- Which programming languages are commonly used in building AI solutions?
Python, R, Java and Julia are popular languages for AI development due to their robust libraries, frameworks and community support. Each language offers unique strengths depending on the specific AI applications.
- What are some commercial applications of AI?
AI can be used almost anywhere. Healthcare diagnostics, financial services for fraud detection, retail for inventory management and recommendation systems, entertainment for content personalization — the list is endless.
- How can I integrate AI solutions with my existing internal systems?
Successful integration starts with evaluating your current IT infrastructure and selecting adaptable AI solutions. Our AI and machine learning consulting experts can work with you to align these with your current business processes, ensuring a seamless integration.
- What types of data are necessary for AI, and how can I connect my database?
AI relies on structured and unstructured data across various formats. You can connect AI models with relational databases, cloud storage solutions and real-time data streams to gather actionable insights.
- What do AI consultants do?
Our consultants help you identify opportunities for AI within your business, develop bespoke AI strategies and work with you to deploy and manage your AI systems.
- What are the key stages in developing and deploying an AI solution?
Developing an AI solution involves stages such as defining the problem, collecting and preparing data, selecting appropriate models, training and validating models, deploying the solution, monitoring performance and continuously refining the model based on feedback.