6 Most Popular Hyperautomation Software Solutions
In the closing months of 2020, Gartner released a new report announcing the Top 10 Strategic Predictions for 2021 and Beyond. What was at the top of the list? The demise of traditional technologies, urging organizations to take on new digital initiatives like hyperautomation.
The path towards hyperautomation involves expanding your portfolio of automation tools, looking organization-wide for opportunities to hand off rote tasks and heavy-duty data analysis over to computers. By leveraging the best in innovative technologies, top organizations are realizing significant improvements to their overall efficiency.
What technologies make up an outstanding ecosystem of hyperautomation tools? To fully embrace automation, organizations are leveraging these go-to technologies:
- Artificial Intelligence
- Robotic Process Automation (RPA)
- Process Discovery and Mining
- Machine Learning
- Chatbots and Conversational AI
- Intelligent Business Process Management Suites (iBPMS)
Together, these technologies unleash the full power of hyperautomation’s efficiency-boosting potential. If you’re looking to build out your hyperautomation strategy, here are the choice software options topping the charts.
Top-rated software solutions for for robotic process automation
Bogged down by routine, data-intensive tasks? Banks and other organizations that process hundreds or thousands of applications per day laud the comprehensive RPA toolbox available through Automation Anywhere. The technology can easily pull raw data from forms and run names through KYC check-up systems. Without the need for human interference, bots can then autonomously route data to the next step in the process.
Racking up a stellar 4.5-star rating on G2, UiPath is one of the top RPA platforms for businesses embracing hyperautomation. Say goodbye to mind-numbing manual tasks—hand off responsibility to one of UiPath’s many software robots. These digital helpers can extract data from files and forms, mimic keystrokes, and move data through your systems at lightning speeds.
Need help handling a busy customer service desk? UiPath chatbots and virtual assistants can shoulder some of the load, so your team is free to focus on calls that require a more human touch.
Popular choices for process discovery and mining
Celonis lets loose a series of bots to comb your process logs and extract helpful intel. You can then use this information to better understand the way your organization operates and how you can better optimize each and every step. Supply chain experts, accounts payable teams, distribution managers—anyone overseeing a bevy of daily digital operations can benefit from Celonis to analyze big data and uncover valuable process patterns.
Highly ranked software for chatbots and conversational AI
A study by IBM revealed that major organizations field over 265 billion customer service calls each year. While most of these calls are handled by human representatives, only 20% require complex thinking. To lighten the load, businesses turn to AI chatbots like Intercom to handle the lion’s share of calls, including routine questions like password resets, pricing inquiries, and service tier upgrades.
AI chatbots can mill through knowledge databases and FAQ centers to find answers to customer questions and use this information to train their brain to take on more challenging requests. A win-win for organizations strapped for time.
Best options for machine learning
Machine learning has opened new doors for companies to put their data to work. Instead of staring down a stockpile of disconnected data points, they can uncover meaningful insights. Platforms like Alteryx speed up the tasks behind structuring and processing data so teams can focus on generating models for greater efficiency.
Using advanced Natural Language Processing (NLP) and Optical Character Recognition (OCR), Alteryx can help you gather insights from all of your business documents, including PDFs, images, and unstructured data.
Low-code platforms like Alteryx bestow the power of sophisticated data analysts onto casual business users and citizen developers. Using machine learning, you can dive into large chunks of data unmanageable for humans and find the best ways to perform a task—all while continuously exploring better options.
What brings it all together? An award-winning iBPMS platform
What makes for an effective hyperautomation ecosystem is the iBPMS that supports it. Leading companies are turning to platforms like ProcessMaker, a top business process management showcased in the 2020 Gartner Market Guide for iBPMS.
This heavy-hitting software brings together various hyperautomation tools into a fully coordinated system. This helps your organization automate and orchestrate all of your key process workflows. Low-code tools allow everyone on the team—including citizen developers with limited programming experience—to have a hand in building workflows that power your organization’s success.
Now that you understand the software solutions underpinning a successful hyperautomation strategy, it’s time to build out a highly effective roadmap. With the four steps outlined in this article, you can start planning how your organization will leverage the tools of tomorrow. After all, as Gartner forecasted in their trend report, traditional tech just won’t cut it for 2021 and beyond.