According to the report, “Reinventing business operations with Gen AI“, the number of companies that have fully modernized their AI-based processes has nearly doubled from 9% in 2023 to 16% in 2024. Compared to their peers, these organizations achieve 2.5 times more revenue growth higher productivity, 2.4x higher productivity, and 3.3x higher success in scaling generative AI use cases.
The results also showed that these “ready to reinvent” companies are moving faster and amplifying the impact of generative AI across the enterprise. With a digital core, these organizations have already developed generative AI use cases in IT (75%), marketing (64%), customer service (59%), finance (58%) ), R&D (34%) and other essential functions. .
Although the study indicates that some companies have reached the highest level of operational maturity, almost two-thirds (64%) still struggle to change the way they operate. For example, they are lagging behind in building a strong database: 61% say their data assets are not yet ready for generative AI and 70% struggle to scale projects that use proprietary data.
The deep dependence on people is often overlooked: 82% of companies in the early stages of operational maturity have not implemented a talent reinvention strategy, planned to meet workforce needs, or acquired new talent or training to prepare workers for AI-driven generative workflows. In fact, many executives (78%) say AI and generative AI are advancing too quickly for their organization’s training efforts to keep pace.
“Most leaders understand the urgency to reinvent with generative AI, but in many cases their company’s operations are not ready to support large-scale transformation,” said Arundhati Chakraborty, managing director of Accenture Operations group. “Generative AI goes well beyond technology. It is a driver of a change in mentality that impacts the entire company. This requires organizations to have a strong digital core, a data strategy and a well-defined roadmap to change the way they operate. Additionally, an end-to-end perspective leveraging talent, best-in-class practices, and effective collaboration between business and technology teams is essential for intelligent operations.
The report highlights four key actions business leaders should take to advance the maturity of their operations:
- Implement centralized data governance and a domain-centric approach to data modernization. Connect processes and tools across functions to ensure people clearly understand how to create, manage and consume data, which should be structured in a standardized way to be accessible to AI tools across the enterprise.
- Adopt a talent-driven reinvention strategy. Reinvent work and rethink entire processes and workflows to gain clarity on where generative AI can have the most impact to serve customers, support people, and achieve business outcomes.
- Make sure the business and technical teams have co-ownership of the reinvention. Collaboration drives innovation as both teams are jointly responsible for how assets, platforms, and products are developed to harness the full capabilities of generative AI, enterprise-wide.
- Adopt industry-leading processes to drive business results. Apply cloud-based process mining to calibrate internal and external benchmarks to more easily visualize process gaps and gain clear insights into operational inefficiencies or improvement opportunities.
Explore the report in Accenture’s thought leadership app, Foresight, and get a personalized feed of the latest insights, data, case studies and more at http://www.accenture.com/foresight.
About research
For the report “Reinventing Business Operations with Gen AI,” Accenture surveyed 2,000 executives across 12 countries and 15 industries. The latest research assessed the progression of business operations maturity across four criteria: ready for reinvention, knowledge-driven, automated and fundamental, each supported by more advanced ways of working with data, automation, Common AI and generative AI. The study then combined survey responses with externally validated data across multiple value dimensions, including finance, experience, sustainability, talent, inclusion and diversity, innovation and ‘agility.
The revenue growth comparison was carried out by leveraging the financial performance data of the companies in our survey (for companies with available data and after carrying out appropriate data quality assurance). For each smart operations group, Accenture looked at the overall revenue in a given fiscal year and, based on that metric, calculated the group’s revenue growth rate.
About Accenture
Accenture is a global professional services leader that helps the world’s largest organizations build their digital core, optimize their operations, accelerate revenue growth and improve their services, creating tangible value quickly and at scale . We are a talent and innovation-driven company with 774,000 people serving customers in more than 120 countries. Technology is at the heart of change today, and we are one of the world leaders in contributing to this change, through strong relationships with ecosystems. We combine our technological strength and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our wide range of services, solutions and assets in the areas of strategy and consulting, technology, operations, industry X and song, as well as our shared culture of success and our commitment to creating 360° value, allows us to help our customers reinvent themselves and build reliable and sustainable solutions. relationships. We measure our success by the 360° value we create for our customers, for each other, for our shareholders, our partners and our communities. Visit us at www.accenture.com.
# # #
Contacts:
Samuela Martí
Accenture
+39 329 1595781
samuela.marti@accenture.com
Deepshikha Sinha
Accenture
+91 9599039276
deepshikha.a.sinha@accenture.com
Copyright © 2024 Accenture. All rights reserved. Accenture and its logo are registered trademarks of Accenture.
