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The Automation Advantage: Embrace the Future of Productivity and Improve Speed, Quality, and Customer Experience Through AI
From the global automation leaders at Accenture—the first-ever comprehensive blueprint for how to use and scale AI-powered intelligent automation in the enterprise to gain competitive advantage through faster speed to market, improved product quality, higher efficiency, and an elevated customer experience.
Many companies were already implementing limited levels of automation when the pandemic hit. But the need to rapidly change business processes and how organizations work resulted in the compression of a decade’s worth of digital transformation into a matter of months. Technology suddenly became the essential element for rapid organizational change and the creation of 360-degree value benefiting all stakeholders. Businesses are faced with the imperative to embrace that change or risk being left behind.
In The Automation Advantage, global enterprise technology and automation veterans Bhaskar Ghosh, Rajendra Prasad, and Gayathri Pallail give business leaders and managers the action plan they need to execute a strategic agenda that enables them to quickly and confidently scale their automation and AI initiatives. This practical and highly accessible implementation guide answers leaders’ burning questions, such
How do I identify and prioritize automation opportunities?How do I assess my legacy systems and data issues?How do I derive full value out of my technology investments and automation efforts?How can I inspire my employees to embrace change and the new opportunities presented by automation?
The Automation Advantage goes beyond optimizing process to using AI to transform almost any business activity in any industry to make it faster, more streamlined, cost efficient, and customer-focused—vastly improving overall productivity and performance. Featuring case studies of successful automation solutions, this indispensable road map includes guiding principles for technology, governance, culture, and leadership change. It offers a human-centric approach to AI and automation that leads to sustainable transformation and measurable business results.
Many companies were already implementing limited levels of automation when the pandemic hit. But the need to rapidly change business processes and how organizations work resulted in the compression of a decade’s worth of digital transformation into a matter of months. Technology suddenly became the essential element for rapid organizational change and the creation of 360-degree value benefiting all stakeholders. Businesses are faced with the imperative to embrace that change or risk being left behind.
In The Automation Advantage, global enterprise technology and automation veterans Bhaskar Ghosh, Rajendra Prasad, and Gayathri Pallail give business leaders and managers the action plan they need to execute a strategic agenda that enables them to quickly and confidently scale their automation and AI initiatives. This practical and highly accessible implementation guide answers leaders’ burning questions, such
How do I identify and prioritize automation opportunities?How do I assess my legacy systems and data issues?How do I derive full value out of my technology investments and automation efforts?How can I inspire my employees to embrace change and the new opportunities presented by automation?
The Automation Advantage goes beyond optimizing process to using AI to transform almost any business activity in any industry to make it faster, more streamlined, cost efficient, and customer-focused—vastly improving overall productivity and performance. Featuring case studies of successful automation solutions, this indispensable road map includes guiding principles for technology, governance, culture, and leadership change. It offers a human-centric approach to AI and automation that leads to sustainable transformation and measurable business results.
- GenresTechnology
294 pages, Kindle Edition
Published December 7, 2021
24 people are currently reading
82 people want to read
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June 15, 2022These are the main takeaways: You have to make a clear plan for building a robust automation and AI integration and diligently follow those steps. The purpose for your organization’s automation plan should align and work in concert with your business strategy. Fear of job-destroying automation is an enormous problem – and one that emphasizes the need to explain how new tech should augment human talent, not replace it. Remember, without a human-centric approach to automation, it simply won’t be sustainable.
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Outlining your automation roadmap, and setting your business up for successful automation and AI integration.
Creating an automation roadmap will help you clearly identify how you can implement, track, and innovate your integration strategy. It should be developed on two levels simultaneously: One with a focus on business results, and the other on the journey to better automation maturity in your company. Let’s get into the business results roadmap now – We’ll cover the strategic model for a successful automation maturity process in a moment. Okay. The authors structured the business results process into three main phases. The first is titled, Establish. For this phase, you should explore and pinpoint where there’s potential for automation, across your business applications. The next phase is Scale. As the name implies, here’s where you develop, activate, and scale your solutions. Finally, in the third phase – Operate – you’re ready to widen your geographic coverage to better observe true value realization, and update your intelligent automation strategies based on your learnings.Remember this level of processes should be interwoven with your processes for ensuring successful automation maturity. So, as we delve into this part of your strategic roadmap, keep this front of mind.Okay; so now you’ve reached the point where you’ve aligned your business strategy with your automation and AI goals, what’s next?Integrating automation and AI into your organization. This is a methodical process, and to embark on that journey means passing through different developmental stages.
Think of them as like the different stages of learning to ride a bike. First, you must learn to walk. Next, perhaps, you learn to master a tricycle. Then, a bike with stabilizers. After taking these steps you’re likely to be able to finally ride a bicycle with confidence. The same can be said for a business looking to automate: you have to go through the paces – without that first step, you’re not likely to ever make real advances. You need to start at the foundational stages where you examine the current state of your infrastructure and gaps for improvement, before setting a sustainable and successful automation strategy that’s agile enough to grow with your business.These are the building blocks to successful automation and AI integration.
First is the tools driven stage. At this point, you’re focused on solving isolated, but recurring problems, specifically in the areas of implementation and where there’s room for improvement. This means that automation efforts here are generally fragmented, and siloed, with a limited overall value.
Next is the process driven stage. This is when closer, or external evaluation of current automation infrastructure reveals or exposes inefficiencies in processes that don’t generate value for the company or organization’s bottom line. Once these are examined, look for opportunities to optimize by paying close attention to the points of overlap and connection in your products and services.
Following the foundational and optimizing stages, your business should be ready to explore robotic process automation. Simply put, what you’re doing at this point is automating repetitive tasks, which generate quick wins, using software programs. For instance, looking at the customer service experience at a bank, from initial query to sophisticated answer – all of these can be provided by a chatbot.
The penultimate stage is the data driven one. With useful and reliable data, your business can benefit hugely from the insights they reveal. Solid data will allow you to be able to – for example – better predict product experience, which means you can shift your focus from the goal of reducing cost, to one where you’re looking at improving efficiency and being agile and responsive to the ever-changing needs and behaviors of your consumers or clients.
For instance, by running algorithms over different data sources, it’s possible to learn about a consumer’s purchasing behaviour. The business can then send personalized product offers to that person. So, pay a close mind to your data.
Finally, the top level of maturity in automation is intelligence driven automation. This is when computing power is set up to perform complex functions or tasks that have traditionally been limited to human beings. So, sensing or comprehending ambiguities, learning these, and then acting on them. To be clear, here’s an example: When AI in insurance companies in the US were able to detect patterns in claims management operations, it was able to flag fraudulent ones, which costs the industry billions, and directly impacts premiums in the average household, forcing them to pay between $400 and $700 per year for these false claims.
As I mentioned earlier, it’s important to start at the beginning — You have to learn to walk before you can even consider riding a bike. So, if you want your business to reach the final level of maturity in automation and benefit from advances in technology, don’t skip on all the necessary stages. Follow this guide and take your organization into a sustainable and profitable future.
Finally, the most important lesson for those looking to introduce automation and AI: never, ever, stop innovating.
---
Outlining your automation roadmap, and setting your business up for successful automation and AI integration.
Creating an automation roadmap will help you clearly identify how you can implement, track, and innovate your integration strategy. It should be developed on two levels simultaneously: One with a focus on business results, and the other on the journey to better automation maturity in your company. Let’s get into the business results roadmap now – We’ll cover the strategic model for a successful automation maturity process in a moment. Okay. The authors structured the business results process into three main phases. The first is titled, Establish. For this phase, you should explore and pinpoint where there’s potential for automation, across your business applications. The next phase is Scale. As the name implies, here’s where you develop, activate, and scale your solutions. Finally, in the third phase – Operate – you’re ready to widen your geographic coverage to better observe true value realization, and update your intelligent automation strategies based on your learnings.Remember this level of processes should be interwoven with your processes for ensuring successful automation maturity. So, as we delve into this part of your strategic roadmap, keep this front of mind.Okay; so now you’ve reached the point where you’ve aligned your business strategy with your automation and AI goals, what’s next?Integrating automation and AI into your organization. This is a methodical process, and to embark on that journey means passing through different developmental stages.
Think of them as like the different stages of learning to ride a bike. First, you must learn to walk. Next, perhaps, you learn to master a tricycle. Then, a bike with stabilizers. After taking these steps you’re likely to be able to finally ride a bicycle with confidence. The same can be said for a business looking to automate: you have to go through the paces – without that first step, you’re not likely to ever make real advances. You need to start at the foundational stages where you examine the current state of your infrastructure and gaps for improvement, before setting a sustainable and successful automation strategy that’s agile enough to grow with your business.These are the building blocks to successful automation and AI integration.
First is the tools driven stage. At this point, you’re focused on solving isolated, but recurring problems, specifically in the areas of implementation and where there’s room for improvement. This means that automation efforts here are generally fragmented, and siloed, with a limited overall value.
Next is the process driven stage. This is when closer, or external evaluation of current automation infrastructure reveals or exposes inefficiencies in processes that don’t generate value for the company or organization’s bottom line. Once these are examined, look for opportunities to optimize by paying close attention to the points of overlap and connection in your products and services.
Following the foundational and optimizing stages, your business should be ready to explore robotic process automation. Simply put, what you’re doing at this point is automating repetitive tasks, which generate quick wins, using software programs. For instance, looking at the customer service experience at a bank, from initial query to sophisticated answer – all of these can be provided by a chatbot.
The penultimate stage is the data driven one. With useful and reliable data, your business can benefit hugely from the insights they reveal. Solid data will allow you to be able to – for example – better predict product experience, which means you can shift your focus from the goal of reducing cost, to one where you’re looking at improving efficiency and being agile and responsive to the ever-changing needs and behaviors of your consumers or clients.
For instance, by running algorithms over different data sources, it’s possible to learn about a consumer’s purchasing behaviour. The business can then send personalized product offers to that person. So, pay a close mind to your data.
Finally, the top level of maturity in automation is intelligence driven automation. This is when computing power is set up to perform complex functions or tasks that have traditionally been limited to human beings. So, sensing or comprehending ambiguities, learning these, and then acting on them. To be clear, here’s an example: When AI in insurance companies in the US were able to detect patterns in claims management operations, it was able to flag fraudulent ones, which costs the industry billions, and directly impacts premiums in the average household, forcing them to pay between $400 and $700 per year for these false claims.
As I mentioned earlier, it’s important to start at the beginning — You have to learn to walk before you can even consider riding a bike. So, if you want your business to reach the final level of maturity in automation and benefit from advances in technology, don’t skip on all the necessary stages. Follow this guide and take your organization into a sustainable and profitable future.
Finally, the most important lesson for those looking to introduce automation and AI: never, ever, stop innovating.
May 22, 2022
When everyone is talking about Automation, be it companies or individuals, a book like this gives an elaborate framework on what can be expected from it and what needs to be done to achieve it.
Enjoyed reading it and also believe that it can become a good reference to check back when engaged in a real project.
Great work done by authors. 👍
Enjoyed reading it and also believe that it can become a good reference to check back when engaged in a real project.
Great work done by authors. 👍
Displaying 1 - 2 of 2 reviews