The Role of Intelligent Automation in Driving Productivity and Output

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Businesses interested in greater productivity and output can harness the power of intelligent automation platforms and software to achieve their ends. But how does intelligent business process automation work?

What are the key features you should evaluate when choosing a platform? And how can you integrate this type of tool into your ecosystem to support your bottom-line goals?

How Intelligent Automation Drives Productivity and Output

Intelligent automation systems rely on a combination of automation technology and artificial intelligence technology to automate manual tasks and accelerate productivity in intelligent ways.

For example, it can automatically ingest data and use AI to process and analyze large volumes of data, streamlining recommendations for business decisions and simplifying existing workflows.

There are many ways in which intelligent automation can drive productivity and output.

Streamline repetitive tasks

One of the biggest and most obvious benefits of using intelligent automation is streamlining repetitive tasks. There are likely hundreds, if not thousands, of repetitive, predictable tasks executed in your organization every day.

Streamline repetitive tasks.

With intelligent automation, you can handle these tasks automatically, so your best and most experienced workers can give their full attention to more important matters.

Improve accuracy

When it comes to data processing, AI is far beyond human capability. With intelligent automation, you can greatly improve accuracy in your data analytics strategy and ultimately come to better conclusions for your business decisions.

Process data (and documents) faster

AI-powered intelligent automation and IDP can help you process data and documents much faster. Employees can use it to quickly summarize and understand complicated documents, and decision makers can use it to crunch numbers like never before.

Scale effectively

Intelligent automation is highly scalable, since it works equally well at small and large scales. If you plan on growing your organization and using intelligent automation for more things, you’ll have a convenient, easy pathway to growth.

Reduce costs

Many organizations choose to integrate intelligent automation as a way to save money.

Reduce costs

You may be able to reduce outsourcing costs, reduce the costs of other technologies, or eliminate inefficiencies in existing processes.

Free up time

With all the time you save from using automation, you can turn your attention to bigger projects and higher-level responsibilities. Depending on what you do with this time, you could help the company become leaner, more productive, or more innovative. Or, you could focus your attention on growth and development.

Improve decision making

And of course, with your intelligent automation assistant or AI co-pilot, you can get cleaner data, better recommendations, and more insights to facilitate excellent decision making.

Key Considerations for Using Intelligent Automation

However, if you want to get the most value out of your intelligent automation systems, you’ll need to keep the following in mind:

Capabilities and Features

Not all intelligent automation platforms are the same. Some have more robust collections of features than others, and some have more powerful features than others. Some are going to be extremely practical for some of your specific industry, while others are designed to be more general use.

Pay close attention to the tools and features available in each possible platform.

Workflow and Process Building

Workflow and Process Building

You also need to pay close attention to workflow and process building in the context of each intelligent automation tool. In other words, how does this intelligent automation platform help you design and deploy automated workflows? How much room do you have to customize?

Data Quality

If you plan on using intelligent automation for data analytics or business decision making, it’s important you have solid data collection and quality standards in place. If you’re not pulling in ample data, or if your data is compromised in some way, you won’t be able to make excellent decisions.

Employee Training

Automation doesn’t work entirely by itself; it still requires guidance and control from your employees. Accordingly, you should have systems in place to train and educate your employees on how to use intelligent automation properly. Make sure they can access the full value of this powerful tool.

Integrations and Connectivity

You also need to consider how your intelligent automation platform is going to work in the context of the rest of your technological stack. What integrations are available? What changes do you need to make to your technological landscape to make this a better fit?

Ongoing Improvements

Finally, think about how you’re going to improve in the future. How do you get even more value out of this productivity tool?

Intelligent automation can drive efficiency and scale, but success depends on thoughtful implementation.

With the right intelligent automation platforms, and with a responsible approach to using them, you can work smarter, scale faster, and unlock new opportunities for growth.

About Jimmy Aki PRO INVESTOR

Based in the UK, Jimmy is an economic researcher with outstanding hands-on and heads-on experience in Macroeconomic finance analysis, forecasting and planning. He has honed his skills having worked cross-continental as a finance analyst, which gives him inter-cultural experience. He currently has a strong passion for regulation and macroeconomic trends as it allows him peek under the global bonnet to see how the world works.