Next steps to accelerate app development with GenAI-powered Now Assist. NEXT STEP GUIDE PUT AI TO WORK TO BOOST BUSINESS AGILITY AND INNOVATION GenAI empowers everyone in the organization to build apps fast Generative AI (GenAI) has been proven to dramatically enhance the productivity of experienced developers and lower the barrier to entry for citizen developers. In fact, generative AI will automate 60% of the design effort for new websites and mobile apps by 2026.* To stay competitive in the current era of digital transformation, IT leaders are focusing on GenAI solutions to increase business agility, democratize app development, reduce the IT backlog, and improve productivity. Once you’ve identified your business goals and critical areas for growth, your next step is to start using GenAI on a secure platform for app development and creation. In this guide, we’ll walk you through your next important steps to business transformation with GenAI in app development. *Gartner, Gartner Experts Answer the Top Generative AI Questions for Your Enterprise, 2024 GARTNER® is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. 2 | Next Step Guide | Put AI to work to boost business agility and innovation 1 KPMG, Generative AI: From buzz to business value, 2023 2 Gartner, Gartner Experts Answer the Top Generative AI Questions for Your Enterprise, 2024 3 Gartner, Gartner Says 75% of Enterprise Software Engineers Will Use AI Code Assistants by 2028, April 11, 2024 Challenges of meeting expanding development demands Your workforce drives innovation, growth, and success. Yet when developers, creators, and business users are spending their valuable time on menial, repetitive development tasks, your organization risks missing out on productivity advances and competitive gains. Consider these common scenarios. • App creation demands grow by the week as organizations transform to digital business models. However, the current shortage of skilled developers makes it tough to find resources to meet the demands. The limited pool of developers is a threat to the growth and success of every modern enterprise. • As businesses attempt digital transformation, developers can get bogged down in manual code or data adjustments to meet functional requirements, increasing the amount of time it takes to build applications. The result is inefficient operations. • Uncertainty in the global economy is driving frequent priority shifts. Modern businesses must be nimble—ready to swiftly pivot, adapt, and seize opportunities. Yet manual processes can hamper development efforts by causing human errors and delays in production. 73% of leaders believe GenAI will increase workforce productivity.1 30% of enterprises will have implemented an AI-augmented development and testing strategy by 2025, up from 5% in 2021.2 75% of enterprise software engineers will use AI coding assistants by 2028, up from less than 10% in early 2023.3 What thought leaders are saying about GenAI empowering people “Current generative AI and other technologies have the potential to automate work activities that absorb 60 to 70% of employees’ time today.” McKinsey Digital, The economic potential of generative AI: The next productivity frontier (by Michael Chui, Eric Hazan, Roger Roberts, Alex Singla, Kate Smaje, Alex Sukharevsky, Lareina Yee, and Rodney Zemmel), 2023 “The one thing that every company on the planet is short of right now is software developers.” Paul Smith, Chief Commercial Officer, ServiceNow Next Step Guide | Put AI to work to boost business agility and innovation | 3 4 Internal results from the ServiceNow IT organization Game-changing benefits of GenAI in app development IT leaders have increasingly turned to AI, and now to GenAI, to streamline the app development process as it can reduce development time by up to 30% (or more).4 Natural language no-code development democratizes app creation GenAI operates like a programming partner to handle repetitive and common coding tasks, which frees developers to focus their time on more complex logic and helps augment your developer talent pool.