In today’s digital age, businesses increasingly leverage advanced technologies to streamline operations, enhance productivity, and gain a competitive edge. One such technology is hyper-automation, a concept that Gartner named as the top strategic technology trend in 2020. Hyper-automation involves the application of advanced technologies like Artificial Intelligence (AI), Machine Learning (ML), Robotic Process Automation (RPA), and Business Process Mining to automate complex business processes.
However, implementing hyper-automation has its challenges. Businesses face several obstacles, from integration issues to data privacy concerns in their hyper-automation journey. This blog post aims to provide business executives with strategic insights on overcoming these challenges and successfully implementing hyper-automation.
Hyper-Automations’ barriers to entry
Challenge 1: Integration with Existing Systems
One of the primary challenges of implementing hyper-automation is integrating new technologies with existing systems. Many organizations have legacy systems that may need to be compatible with modern automation tools. According to a report by McKinsey, 70% of digital transformation initiatives still need to reach their stated goals, often due to integration issues.
Solution: A phased approach to implementation can help mitigate this challenge. Start with a pilot project to identify potential integration issues and develop solutions before scaling up. Additionally, consider working with technology vendors who offer flexible solutions that can be customized to fit your existing infrastructure.
Challenge 2: Data Privacy and Security
With hyper-automation, businesses handle vast amounts of data, raising concerns about privacy and security. A study by IBM found that the average data breach cost in 2020 was $3.86 million, highlighting the importance of addressing this challenge.
Solution: Implement robust data governance policies and invest in advanced security technologies. Regular audits and employee training can also help ensure compliance with data privacy regulations.
Challenge 3: Skills Gap
Hyper-automation requires a workforce with AI, ML, and data analytics skills. However, a report by the World Economic Forum predicts a significant skills gap in these areas by 2022.
Solution: Invest in training and development to upskill your current workforce. Additionally, consider partnering with universities and colleges to create a pipeline of skilled workers. Hiring external consultants with expertise in hyper-automation can also be beneficial.
Challenge 4: Resistance to Change
Implementing hyper-automation often involves significant changes to business processes, which can lead to employee resistance. A survey by PwC found that 26% of businesses cite resistance to change as a significant obstacle to digital transformation.
Solution: Effective change management strategies can help overcome this challenge. This includes clear communication about the benefits of hyper-automation, involving employees in the implementation process, and providing support and training to help them adapt to new processes.
Solutions Simplified:
- Robust Integration Strategy: Businesses need a robust integration strategy to overcome integration issues. This includes choosing hyper-automation tools compatible with existing systems and using APIs to ensure seamless integration. Businesses can also consider partnering with technology providers who offer pre-integrated solutions.
- Prioritizing Data Privacy and Security: Businesses must prioritize data privacy and security when implementing hyper-automation. This includes complying with data protection regulations, implementing robust security measures like encryption and two-factor authentication, and regularly conducting security audits.
- Investing in Training and Upskilling: To address the skills gap, businesses must invest in training and upskilling their workforce. This includes providing training in AI, ML, and data analytics and fostering a culture of continuous learning.
- Leveraging Business Process Mining: Business Process Mining can help businesses understand their current processes, identify bottlenecks, and determine which processes to automate. According to a report by Gartner, organizations that use process mining tools can reduce costs by up to 30% and improve process efficiency by up to 50%.
Start your hyper-automation journey the RIGHT way:
Implementing hyper-automation is a complex task, but with the right strategies, businesses can overcome the challenges and reap the benefits of increased efficiency, productivity, and competitiveness. Businesses can successfully navigate their hyper-automation journey by focusing on integration, data privacy and security, workforce training, and leveraging business process mining.
As we move into the digital age, hyper-automation will become an increasingly important tool for businesses. By overcoming the implementation challenges, businesses can position themselves at the forefront of this exciting new frontier.
Sources:
- Gartner (2020). Top 10 Strategic Technology Trends for 2020.
- Deloitte (2020). Automation with Intelligence.
- PwC (2020). CEO’s Curbed Confidence Spells Caution.
- IBM (2020). The Enterprise Guide to Closing the Skills Gap.
- Gartner (2020). Market Guide for Process Mining.