AI and Automation

Accelerating the Digital Transformation

UiPath and Bain & Co. joined up to release, “The State of AI-Powered Automation”, a survey focused on innovation, impact, and the future trends shaping enterprise adoption.

Is your company constantly seeking ways to enhance efficiency, reduce costs, and stay ahead of the competition? The answer, we assume, is Yes.

One of the most powerful tools that organizations are leveraging to achieve these goals is AI (Artificial Intelligence) and automation. By combining the capabilities of AI and automation, businesses can streamline processes, improve productivity, and drive innovation.

The Role of AI and Automation in Digital Processes

Automation has long been a driving force for improvement and efficiency within organizations. Over the years, as the capabilities of hardware and software have evolved, automation has become even more powerful.

Today, businesses have access to a wide range of automation technologies, including AI and Machine Learning (ML), Robotic Process Automation (RPA), and predictive analytics.

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According to a recent survey conducted by Bain & Company, a global management consulting firm, most organizations have already deployed a suite of automation technologies. In fact, 80% of the surveyed companies have implemented AI and ML, 64% utilize RPA, and 69% leverage predictive analytics. These technologies have proven to be valuable in improving efficiency, accuracy, and productivity within various departments, such as IT services, customer service, and finance.

80%
AI & ML Adoption
64%
RPA Adoption
69%
Predictive Analytics Adoption

The Value Anticipated Through AI-powered Automation

The primary motivations for adopting automation in organizations are to increase efficiency and productivity, reduce costs, and accelerate innovation. Bain’s survey findings reveal that these motivations align with the realized benefits of automation. Companies reported that automation efforts have led to increased efficiency and productivity, improved accuracy, and reduced errors. However, it is important to note that while these benefits are significant, tracking and measuring the returns on automation investments can be challenging.

To address this challenge, it is crucial for organizations to establish a structured value framework that outlines the key value incentives and metrics for measuring the outcomes of automation initiatives. This framework serves as a compass, ensuring that automation efforts are aligned with broader business goals and objectives. By tracking and reporting on the value generated through automation, organizations can better assess the return on investment and make informed decisions about future automation initiatives.

Success at enterprise automation is not merely defined by adoption but by
meaningful integration at scale. Central to this is a robust value framework delineating critical value incentives (such as opex, revenue growth, and total cost of care) and spotlighting key incentives that align with business priorities.

– Bain & Co. report excerpt

The Emergence of Generative AI

While traditional automation tools like RPA have been instrumental in driving operational improvements, the emergence of generative AI has brought automation to a whole new level. Generative AI, a subset of AI models and techniques, is designed to generate new data samples based on a given set of training data. This technology has quickly gained traction, with over half of the surveyed organizations already adopting generative AI to some extent.

Generative AI has the potential to redefine business processes and operations. By automating higher-order tasks and enabling sentiment analysis, generative AI expands the scope of automation and empowers organizations to achieve even greater efficiency and productivity. For instance, generative AI can be used to augment or emulate call center staff, leading to improved customer service and reduced costs.

The survey respondents intent to use generative AI…

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…for data synthesis and augmentation.

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…to enhance creative processes.

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…for automating business processes.

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…to drive innovation in their operations.

Key Lessons for Successful Adoption

To achieve success in AI-powered automation, organizations must follow key behaviors that have been identified as most correlated with leading enterprises. These behaviors include:

1.Business-led Process Improvement
Automation initiatives should be led by process owners and subject matter experts who have a deep understanding of operations and customer needs.

2.Value Creation Planning
Organizations should establish a structured value framework and align automation initiatives with key value incentives and metrics.

3.Sponsorship From the Top
Executive sponsorship is crucial for providing the necessary resources, momentum, and direction for automation initiatives.

4.Pragmatic Budget Reallocation
Organizations should optimize operational costs and reallocate funds to innovation and growth initiatives while considering workforce configuration.

5.Sincere Change Management
Effective change management is essential to address employee concerns, foster adaptability, and ensure a smooth transition to automation.

By following these key behaviors, companies can ensure the successful adoption of AI-powered automation and maximize the benefits it offers.

The Future of AI and Automation

As AI and automation continue to evolve, organizations must be prepared to adapt and embrace the opportunities they present. The future of business will be driven by AI-powered solutions, which will have a transformative impact on various aspects of operations. According to the survey findings, executives believe that AI will have the biggest impact on accelerating business processes, handling more complex tasks, improving data quality, and supporting research and development, product development, and market research.

To capitalize on the advantages of AI and automation, organizations must build agility and fluidity into their culture, chart clear roadmaps for digital transformation, enhance customer satisfaction through personalized interactions, and continuously evolve their workforce strategies.

AI and automation are symbiotic forces that are reshaping the business landscape. By harnessing the power of AI and automation, organizations can drive digital transformation, achieve operational excellence, and stay ahead in the competitive market. The road ahead is full of opportunities, and companies that embrace AI and automation will thrive in the era of digital process automation.

If you would like a partner for your road ahead, contact Smartbridge to discuss AI, automation and what the path forward looks like for you.

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