- Automating your systems and AI technologies should make business sense: Data Analysis and Decision-Making, including the follow-up actions and learnings that stem from those.
- Business strategy is a key part of introducing successful automation:A) Understand Business Model B) Identify Business Objectives C) Analyze Business Model to identify elements of Automation Project
- Outline your automation roadmap and set your business up for successful automation and AI integration: Outline your automation roadmap and set your business up for successful automation and AI integration. It should be developed at two levels simultaneously A) One with a focus on business results : 3 PHASES OF BUSINESS RESULTS PROCESS i. Establish: Explore and pinpoint where there’s potential for automation across your business applications ii. Scale: Develop, activate, and scale your solutions iii. Operate: Widen your geographic coverage to better observe true value realization, and update your intelligent automation strategies based on your learnings B) The other on the journey to better automation maturity in your company C) Strategic Roadmap : i. Tools-Driven Stage: Focus on solving isolated but recurring problems, specifically in the areas of implementation and where there’s room for improvement. ii. Process-Driven Stage: 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. iii. Robotic Process Automation: Automating repetitive tasks, which generate quick wins, using software programs. iv. Data-Driven: 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. v. Intelligence-Driven Automation: Computing power is set up to perform complex functions or tasks that have traditionally been limited to human beings. 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.
- To implement automation, leaders need to reassure and inspire their workforce.Automation in the information age means leveraging people’s talents. That’s a key difference from the first wave of automation where, the reality is, machines did take lots of labor-intensive jobs. Fundamentally, automation today means saving time by getting machines to do the things they do better, while allowing people to focus on their uniquely human talents – like creativity and innovation. Explain and Communicate “Why it is necessary, rather than its technological capabilities”
- In many organizations, there are obstacles to automating. 4 S that can help you reach the highest automation maturity level: A) Simple: This is the point where you’re performing a kind of diagnostic check. Take a close look at your IT and connected business infrastructures. Wherever you see deficits or room for improvement, retool your applications and architecture with the goal of simplifying your functional units or modularity. B) Seamless: You have to make sure that your automation and AI integrations connect harmoniously with your core systems. You also need to ensure that your company culture supports and embraces these integrations and are also energized by, and invested in their successful implementation. C) Scaled: Once you’ve engaged your automation system and strategy, you have to put it into action and see how it holds up under real-world conditions that’ll test its agility, robustness, and sustainability. So, don’t just go in and do a hard switch. Automation integration should be done in steady, mindful steps, which take into account all the elements of your business’s strategy, culture, and goals. For instance, talent development is key when it comes to scaling. Like the tech itself, everyone in your organization should be prepared to be agile and have growth potential as the landscape evolves. D) Sustained: Once you’ve integrated your intelligence automation, the work doesn’t end there. You should set up processes for keeping up with developments in your industry, recognizing emerging possibilities, and observing how other businesses are exploring these developments or trends. And again, thinking holistically about your automation integrations, make sure you maintain a company culture where everyone can share their automation challenges and solutions.
- Successful automation and AI means constant innovation: Innovation means not being afraid of being a pioneer. For some companies, when it comes to automation and AI, this is a difficult step to take. They believe that it’s stupid to jump in headfirst when the tech is still so new. After all, what’s the harm of waiting for things to settle before leaping in? Yes, it’s true that the pace of change means that whatever systems are in place right now will become obsolete soon. However, this can make it seem like it’s never the right time to begin. All the while, organizations that sit on the sidelines will fall further and further behind. While there might be regrets about investing in soon-to-be obsolete systems, the real risk is missing out on all the learning dividends that come with adopting the technology today.
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