Enterprise adoption of automation technologies has accelerated over the past decade due to their potential to transform business models. What started as a simple rules-based activity has evolved into Artificial Intelligence (AI), giving rise to Intelligent Automation (IA). However, classical AI fell short in one notable area – displaying human creativity and creating new and unique content, such as creative writing, music, and art. The emergence of generative AI (gen AI) promises to fill this gap.

Due to its various applications and benefits, gen AI has garnered significant interest in recent times. Investing in gen AI is topping enterprise priority lists, and there are wide-ranging expectations from this technology when it comes to automation. The ability of gen AI to understand and generate human-like text, images, and even code enables the creation of sophisticated automation workflows. This technology not only accelerates routine tasks but also facilitates the development of intelligent systems that can adapt to dynamic environments.

In this viewpoint, we share the findings and insights from a survey-based research that Everest Group undertook across 53 enterprises to understand their expectations from gen AI and its role and adoption in automating business processes. It will help enterprises understand the applications and business impact of gen AI, its potential impact on IA, challenges related to its adoption, and the best practices they can follow to harness the power of this technology and gain a strategic advantage in this fast-paced technological era.

Enterprise buyers can use this report to assess how their peers view this next-generation technology, the functionalities to look for when choosing a gen AI tool/platform, and how gen AI can help achieve their business objectives. Additionally, technology or service providers can use this report to understand enterprise expectations from gen AI.

Scope

• Industry: All industries
• Geography: All geographies

Contents

The report looks at the following topics:

• Intelligent Automation and the role of AI in automation
• Overview of generative AI, its applications, and business impact
• The potential impact of generative AI on intelligent automation
• Potential hurdles in the adoption of generative AI
• Considerations for successful adoption
• Conclusion – and what to watch out for

Membership(s)

Service Optimization Technologies (SOT)

Sourcing and Vendor Management