How we can help
AI's meteoric rise brings tremendous opportunities—but with them, challenges. We help you realize AI's full potential by crafting a responsible AI strategy that aligns with your business goals to deliver maximum value.
For as long as artificial intelligence has helped businesses streamline how work gets done, we’ve been at the forefront—whether it’s defining AI frameworks for financial services clients or helping telcos establish responsible AI strategy.
While fast-moving AI adopters can establish a competitive advantage, they first must overcome inherent challenges—from building the right tech stack and managing the safe use of data, to training employees and ensuring output quality and proper tracking.
We combine business strategy and technical expertise to help you rethink your goals with AI in mind, then build the most high-value use cases from proof of concept to production. Our integrated team of industry and AI consultants, AI product managers and engineers, and key partners work together to propose strategies based on value, feasibility, risk, and differentiation—then deliver the solution’s tech stack, operating model, and talent strategy. Crucially, we ready your organization for AI adoption by strengthening internal capabilities, training your team, and implementing change management to ensure a smooth transition.
With our fingers on the pulse of the evolving AI landscape, we understand the technology’s untapped potential and its risks—and how to manage both responsibly. Our technical expertise and experience collaborating closely with early movers can help you kickstart your journey and achieve sustained success.
Across industries, we’re helping clients strategically consider and implement use cases to improve efficiency, customer retention, and time-to-market.
Customer service chatbots, wealth advisor intelligent assistants, and personalized marketing content generation
Contact center automation/chatbots, intelligent assistants for network engineers, and media and gaming content generation
Contact center and chatbots, e-commerce content generation and analytics, and store ops intelligent assistants
Clinical development patient/investigator communication, compliance document generation, and sales rep and clinician intelligent assistants
B2B sales rep intelligent assistants, customer service/support automation, product virtual assistant features, and R&D
The first company to engage with our OpenAI alliance, The Coca-Cola Company used a buzzworthy campaign to spark a two-way dialogue with consumers. “Create Real Magic” combined ChatGPT and DALL-E into a first-of-its kind platform that offered a canvas for AI-fueled experimentation.
Digital creatives were invited to tap into iconic assets from the The Coca-Cola Company's archives to generate original artwork to be displayed in New York’s Time Square and London’s Piccadilly Circus. By blending customer activation, stakeholder engagement, and public relations, the campaign elevated the company’s world-class brands, marketing, and consumer experiences—and kickstarted its journey with generative AI.
French multinational retailer Carrefour has improved its customer and employee experience with three innovative tech solutions based on ChatGPT technology. Its natural-language, GPT-4-enabled chatbot, Hopla, drives a seamless e-commerce experience on carrefour.fr. Connected to the site’s search engine, the advice robot retrieves customer-specific preferences, offering them smart guidance on food selection based on budget, quantities, dietary restrictions, and more.
In its journey toward becoming a “Digital Retail Company,” Carrefour is also exploring other customer-facing generative AI use cases as well as internal applications. It’s using the technology to enrich more than 2,000 product sheets and to streamline everyday tasks in internal purchasing processes.
When a leading insurance company recognized that consumer needs and buying habits were continually shifting, it began to strategically re-think how analytics could reshape its customer experience. Harnessing the power of artificial intelligence, we helped the company apply machine-learning algorithms against its data to continually refine predictions about which product a customer was likely to buy next. To support that analysis, we created a comprehensive data lake, integrating 20 databases into a system that contained a rich 10-year history of client and external data. After seeing promising results, InsuranceCo locked in the internal capabilities needed to scale its new analytics expertise across the organization.
Results:
The first company to engage with our OpenAI alliance, The Coca-Cola Company used a buzzworthy campaign to spark a two-way dialogue with consumers. “Create Real Magic” combined ChatGPT and DALL-E into a first-of-its kind platform that offered a canvas for AI-fueled experimentation.
Digital creatives were invited to tap into iconic assets from the The Coca-Cola Company's archives to generate original artwork to be displayed in New York’s Time Square and London’s Piccadilly Circus. By blending customer activation, stakeholder engagement, and public relations, the campaign elevated the company’s world-class brands, marketing, and consumer experiences—and kickstarted its journey with generative AI.
French multinational retailer Carrefour has improved its customer and employee experience with three innovative tech solutions based on ChatGPT technology. Its natural-language, GPT-4-enabled chatbot, Hopla, drives a seamless e-commerce experience on carrefour.fr. Connected to the site’s search engine, the advice robot retrieves customer-specific preferences, offering them smart guidance on food selection based on budget, quantities, dietary restrictions, and more.
In its journey toward becoming a “Digital Retail Company,” Carrefour is also exploring other customer-facing generative AI use cases as well as internal applications. It’s using the technology to enrich more than 2,000 product sheets and to streamline everyday tasks in internal purchasing processes.
When a leading insurance company recognized that consumer needs and buying habits were continually shifting, it began to strategically re-think how analytics could reshape its customer experience. Harnessing the power of artificial intelligence, we helped the company apply machine-learning algorithms against its data to continually refine predictions about which product a customer was likely to buy next. To support that analysis, we created a comprehensive data lake, integrating 20 databases into a system that contained a rich 10-year history of client and external data. After seeing promising results, InsuranceCo locked in the internal capabilities needed to scale its new analytics expertise across the organization.
Results:
