Robotics & Cognitive Innovation
How do I enhance productivity through automation and other cognitive tools?
- Automation is here to stay
- Reduce the productivity gap with R&CA
- The Deloitte Approach to RPA
- RPA for Tax
- Future of Operations
Our member firms apply robotic process automation (RPA) and cognitive technologies to achieve enhanced business productivity, process accuracy, and customer service by augmenting or replicating human actions and judgment.
Robotic Process Automation (RPA) offers great potential for businesses to get smarter and more efficient. Successful organizations will be those who embrace the change associated with this innovation, and refocus their workforce to maximize the value from this initiative. This Deloitte Global report outlines a clear roadmap for you to deploy RPA within your organization. Our paper indicates that companies that are not already considering automation as a component of a broader worker ecosystem will miss significant opportunities for efficiency, quality enhancement, risk mitigation, innovation, and ultimately growth.
The continuous technology advancement is creating and enabling more structured and unstructured data and analyses, respectively. The real estate (RE) sector has the opportunity to leverage one such technology, R&CA, to potentially drive operational efficiency, augment productivity, and gain insights from its large swathes of data. With the use of R&CA technologies, data can be assembled with substantially less effort and reduced risk of error. This would allow professionals to better analyze data outputs at an enhanced speed, and make more informed decisions, all at a relatively low cost.
Robotic Process Automation (RPA) tools can help businesses improve the efficiency and effectiveness of their operations faster and at a lower cost than other automation approaches. Interest and activity in RPA is growing and we are increasingly seeing deployments reaching enterprise scale and operating on processes across the organization.
Robotic Process Automation (RPA) is the use of software to automate high-volume, repetitive tasks. In Tax, RPA refers to software used to create automations, or robots (bots), which are configured to execute repetitive processes, such as submitting filings to tax authority web portals. Bots are scalable to relieve resource constraints and save both time and money. As little as a ninth of the cost of an on-shore resource, and a third of the cost of an off-shore resource, robots can undertake a much higher volume of tasks than any human, operate 24/7 (never stopping for a coffee break or taking a sick day), and in side-by-side comparisons, have exhibited greater accuracy.
The Fourth Industrial Revolution is driven by the convergence of computing, data and AI. It is totally transforming the nature of business operations and the role of operations leaders, across industries. Those ready to take advantage of these changes will lead the revolution, not be driven by it.
Driven by accelerating connectivity, new talent models, and cognitive tools, work is changing. As robotics, AI, the gig economy and crowds grow, jobs are being reinvented, creating the “augmented workforce.” We must reconsider how jobs are designed and work to adapt and learn for future growth.
Frictionless, automated, personalized travel on demand—that’s the dream of the future of mobility. And the extended auto ecosystem's various elements are combining to realize that dream sooner than expected, which means that incumbents and disruptors need to move at top speed to get on board.
Here’s how Deloitte can help:
Optimize: Move employees up the value chain and improve performance, by using software to augment or replicate human actions and decisions. For example, RPA can process credit card applications in a fraction of the time, based on pre-defined rules. This reduces errors, time, and cost.
Analyze: Provide distinctive operations insights through cognitive data analytics to drive efficiency and discover opportunities for growth. Consider using Natural Language Processing (NLP) to automatically generate forms and letters, based on data inputs.
Engage: Use intelligent agents to deliver consumer personalization at scale, together with targeted insights to amplify consumer experiences. In practice, this may mean using Chat-bots to provide Tier 1 support directly to customers in a contact center.