The Roadmap to Intelligent Automation Transformation

The Roadmap to Intelligent Automation Transformation: Achieving Maximum Efficiency

To plan for the post-pandemic world, business leaders are looking for technologies that offer gains in efficiency and save costs. Technologies like robotic process automation (RPA) and intelligent process automation (IPA) therefore continue to gain popularity. However, successful, implementation of intelligent automation requires a well-defined roadmap that outlines the steps and actions required to fulfill its objectives. It also means identifying the right areas that are best suited for automation.

Based on your needs, you may require any one or a combination of the following: • • • •

Design and develop automation solutions Deploy and integrate automation solutions Develop a change management automation solution Scale and expand with process automation

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How to Make Intelligent Automation Work for Your Business Intelligent Automation uses advanced technologies such as artificial intelligence (AI) and robotic process automation (RPA) to automate complex business processes and tasks. It combines AI algorithms' power with automation's efficiency to improve operational efficiency, reduce errors, and enhance decision-making. There are numerous business applications for intelligent automation across various industries, such as manual processing of data and filling forms. By leveraging intelligent automation, organizations can achieve increased productivity, cost savings, and improved customer satisfaction.

Harnessing the Power of Intelligent Automation for Diverse Firms Intelligent automation works on several components simultaneously, such as ML, or machine learning, and robotics. For example, ML can receive and analyze customer data like queries, complaints, and tickets, which can be classified and stored into different categories. Robotic process automation (RPA) can automatically respond to queries based on their priorities. ML can also catch any change in customer behavior based on the interaction and, ultimately, any churn risks. Several industries, like manufacturing and logistics, function on complex machinery, and ML can be used to analyze time-sensitive data and spot fault risks.

Retail-based industries thrive mainly on customer data and purchasing histories, and RPA can be applied to collect dispersed data to help AI generate personalised recommendations. Lastly, intelligent automation can help streamline routing and spot any possible bottlenecks. ML brings preventive action to the table, while RPA offers alerts to the relevant workforce.

Reimagining Intelligent Automation in 2023: What's Next?

Gartner's 2023 technology trends for intelligent IT automation include hyperautomation, AIpowered decision-making, intelligent chatbots and virtual assistants, and automation of knowledge work. Hyperautomation is used to automate complex business processes end-toend, while AI-powered decision-making analyses data and makes data-driven recommendations. Process mining, enhanced security, governance, collaboration between humans and automation, and ethical considerations in automation are emerging trends.

Intelligent automation (IA) combines capabilities that enable organisations to mimic, replicate, or augment human activities. It has evolved beyond robotic process automation (RPA) with features such as low-code and no-code development platforms, intelligent document processing (IDP), optical character recognition (OCR), natural language processing (NLP), and machine learning (ML).

More intelligent automation tools are available today than ever before to support business enablement and drive operational efficiency. 2023 will be a year of significant automation potential due to continued talent shortages, soaring labour costs, inflation pressures, and increasing customer demands. Leaders should stay up-to-date on the latest automation trends and technologies to drive innovation. www. suntechnologies.com

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End-to-end automation is gaining popularity due to its ability to integrate with different systems and technologies, providing a seamless and efficient workflow.

Low-code technology platforms enable organizations to quickly create, deploy, and manage automation solutions, leading to faster time-to-market and more efficient processes.

Organizations use automation for business transformation and value creation, leading to digital-centered products and services, improved customer and employee experiences, and increased revenue.

Automation is used to offset rising labour costs and inflation, with 78% investing to cover position voids and attract fresh talent.

Businesses must establish an RPA Centre of Excellence (CoE) to scale their automation program and increase operational efficiency, with 72% having deployed one by 2022.

AI and automation are used to create advanced automated systems and processes, such as advanced communications mining and intelligent document processing.

Low-code technology is essential for increasing the accessibility of automation and artificial intelligence, allowing users to generate automation, data models, and applications with a drag-and-drop interface.

Unlocking the Potential of Intelligent Automation in Operations & Process Improvement Intelligent automation plays a crucial role in operations and process improvement by leveraging advanced technologies such as AI, ML, robotics, and process automation. It combines these technologies to streamline and optimize business operations, resulting in increased efficiency, reduced costs, improved quality, and enhanced customer satisfaction.      

Process Automation Data Processing and Analysis Decision Support Workflow Optimization Customer Experience Enhancement Continuous Improvement and Monitoring

Concluding the Roadmap: A Top N Overview The road map to a successful, intelligent automation transformation in 2023 requires a strategic and systematic approach. It includes redefining the vision and objectives, assessing the current state and readiness, building a business case, creating a governance structure, and developing a technology strategy. These steps will enable organizations to leverage automation technologies effectively, optimize processes, and drive meaningful business outcomes. They will also prioritize functions with high automation potential and continuously optimize automation solutions based on feedback and performance metrics.

Sun Technologies has niche expertise and experience in automating business workflows, partnering with Workato (Gartner - Leader in the Magic Quadrant™ for iPaaS). We have built

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more than 50+ success stories across various industries. Our automation expertise has led to 100% Enterprise level Hyperautomation paving the way for future AI implementation.

Sun Technologies has been helping customers achieve:        

90% of all IT provisioning 100% SLA & 2X faster Save 9/10 of time to build automations with code 28% reduction in operational costs 99% accuracy and processing Accelerated Go-to-market Up to 40% reduction in project costs Up to 90% reduction in mundane tasks

Schedule a meeting with us to discuss how to uncover the potential of Intelligent Automation

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