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10 Generative AI Success Stories: How Businesses Transformed Their Operations

Here are 10 success stories of firms that have successfully used generative AI to revolutionise their business processes with concrete examples of how they did it.

Generative AI’s potential is highlighted by the remarkable market growth projections and its significant impact on the U.S. economy. According to MarketsandMarkets, the worldwide generative AI market is expected to grow from USD 20.9 billion in 2024 to USD 136.7 billion by 2030, at a 36.7% CAGR. This increase is being driven by breakthroughs in AI technologies like as natural language processing (NLP), computer vision, and generative adversarial networks (GANs), which allow for the generation of high-quality, human-like material in a variety of sectors. In the United States, Cognizant believes that generative AI would contribute $477 billion to $1 trillion to the economy over the next decade, increasing productivity by 1.7-3.5%. 

Here are 10 success stories of firms that have successfully used generative AI to revolutionise their business processes with concrete examples of how they did it.

1. Cohere

Founder: Aidan Gomez, Ivan Zhang, and Nick Frosst

How Gen AI Helped: Cohere builds multilingual large language models (LLMs) for enterprise businesses, streamlining tasks such as building chatbots, knowledge assistants, and search solutions. Using retrieval-augmented generation (RAG) and Cohere’s Command and Rerank, a top asset management organisation in North America created an AI knowledge assistant. By offering conversational comments and citations, this assistant assists analysts in efficiently sorting through news, commentary, and financial reports, cutting down on time spent searching for information and enhancing job satisfaction.

2. Hugging Face

Founder: Clement Delangue, Julien Chaumond, and Thomas Wolf

How Gen AI Helped: Hugging Face offers 7,000 datasets and more than 61,000 pre-trained models as development resources. With the use of these tools, innovators may construct generative AI and machine learning models more quickly, accelerating the creation and application of AI solutions. Pfizer enhances its data processing skills by utilising Hugging Face’s NLP models for text analytics. Hugging Face is also used by the Australian Taxation Office for NLP jobs, which increases their productivity while processing massive amounts of text data.

3. Rephrase AI

Founder: Ashray Malhotra, Nisheeth Lahoti, and Shivam Mangla

How Gen AI Helped: Rephrase AI offers a text-to-video generation platform that allows users to create personalized video content. Rephrase AI’s technology has been adopted by major brands to enhance their video marketing strategies, creating more personalized and engaging video content that has increased marketing ROI. built a digital avatar of Dia Mirza, Beco’s brand ambassador, to deliver personalised cart abandonment videos. When a consumer abandons their basket, Dia Mirza sends them a personalised video over WhatsApp, greeting them by name and providing assistance with checkout. This procedure is automated, requiring little human participation!

4. Papercup

Founder: Jesse Shemen 

How Gen AI Helped: Papercup automates the dubbing process using generative AI and synthetic speech, making video content accessible in multiple languages. Papercup collaborated with Sky News and Insider to reach over 500 million additional viewers in Spanish-speaking countries. They also collaborate with Bloomberg to dub their daily news films, which have short turnaround times.

5. Typeface

Founder: Abhay Parasnis

How Gen AI Helped: Typeface uses generative AI for personalized content creation, enabling businesses to craft highly personalized content quickly. Typeface is now integrated into Microsoft Teams, allowing users to create personalised multimedia content including ad graphics, product listings, and SEO meta tags. This connection has assisted firms such as Sequoia Benefits Group in standardising their information across the organisation.

6. Forethought

Founder: Deon Nicholas and Sami Ghoche

How Gen AI Helped: SupportGPT, Forethought’s customer support platform, automates typical instances by resolving them promptly, forecasting and prioritising cases, and aiding agents with necessary information. Several firms have utilised Forethought’s AI technologies to improve their customer support operations, resulting in shorter response times and improved customer satisfaction.

7. Synthesia

Founder: Victor Riparbelli and Steffen Tjerrild

How Gen AI Helped: Synthesia provides an AI-powered video generation platform that allows users to create videos with AI avatars. Synthesia’s platform has been adopted by companies like Deloitte and L’Oréal, enabling them to create high-quality video content efficiently and cost-effectively.

8. Krikey AI

Founder: Jhanvi and Ketaki Shriram

How Gen AI Helped: Krikey AI uses generative AI to create 3D animated content, making animation accessible to all. Krikey AI’s platform has been used by various content creators and businesses to produce high-quality 3D animations quickly and cost-effectively. This has democratized the animation process, allowing even small businesses to create engaging visual content

9. Moveworks

Founder: Bhavin Shah, Jiang Chen, Vaibhav Nivargi, and Varun Singh

How Gen AI Helped: Moveworks employs generative AI to deliver IT support and HR assistance via an AI platform that enhances the employee experience. Companies such as Broadcom and DocuSign have used Moveworks’ technology, which helps them automate IT support operations and increase staff efficiency. The platform’s AI capabilities have resulted in speedier resolution of IT issues and increased overall employee satisfaction.

10. BrainBox AI

Founder: Jean-Simon Venne and Sean Neely

How Gen AI Helped: BrainBox AI use generative AI to improve HVAC (heating, ventilation, and air conditioning) systems in commercial buildings, lowering energy usage and emissions. BrainBox AI has shown the capacity to reduce HVAC energy costs by up to 25% while reducing HVAC-related greenhouse gas emissions by up to 40%. Using AWS’s generative AI capabilities, BrainBox AI has drastically shortened the time necessary for system setup, allowing them to interact with more customers and magnify their influence on lowering carbon emissions.

Picture of Anshika Mathews
Anshika Mathews
Anshika is an Associate Research Analyst working for the AIM Leaders Council. She holds a keen interest in technology and related policy-making and its impact on society. She can be reached at
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