Are You Making These AI Missteps?

As technology continues to advance, so do the opportunities to optimize and enhance business operations.  

The workflow automation market is expected to reach a value of $34.2 billion by 2030 (As per Global Newswire), expanding at a CAGR of 9.71% from 2022 to 2030. Why, you might ask! Is it all just hype, or does workflow automation, powered by AI/ML, really benefit businesses? 

Well, did you know that employees of 94% of small- and medium-sized businesses say that they perform time-consuming, repetitive tasks? Or that 62% of businesses have identified 3 or more major bottlenecks or inefficiencies that could be overcome with workflow automation? Some of the most common bottlenecks that are effectively resolved via automation are long customer turnaround times, the need for frequent reworking of process steps, considerable variability in process completion times, and much more. 

AI-powered workflow automation increases efficiency, minimizes errors, speeds up processes, and boosts productivity. But to garner all the advantages of workflow automation, you need to implement it right, avoiding some common mistakes that many businesses make and building a robust strategy for transition. 

Check out this week’s edition of The AI Edge by Integra and learn how to best plan for AI-powered workflow automation implementation. 

Make Informed Decisions with Integra’s Workflow Automation Insights This Week 

 9 Mistakes to Avoid When Setting Up Workflow Automation 

Not clearly defining the goals you wish to achieve through automation and not training your employees on the newly transitioned processes are only some of the mistakes organizations tend to make while automating workflows with the power of AI. Your automation strategy and the way you implement it, as well as the technology partner you choose for this process, can make or break your efforts.  We have a list of the top 9 common mistakes that are made during the incorrect application of automation read on to learn more about them and how to avoid them. 

Strategically Implementing Machine Learning Solutions for Business Growth 

To integrate AI/ML into business processes, the first step is to understand the technical landscape of the organization, such as your infrastructure needs, current data storage and management processes, network configuration, security protocols, and much more. Plus, make sure you ascertain how the machine learning initiative aligns with and propels your business objectives. And like any investment, make sure you assess the expected ROI and understand the path to achieving the ROI target. Read on to learn the best practices to implement the technology. 

Must Watch Video: Do You Really Need Workflow Automation? 

You need to make an informed decision about the workflows that should be automated for best business results. So, check out this video on the typical manual workflow challenges, how automation works, and important workflow automation features, and why it is becoming increasingly critical for organizations in today's intensely competitive landscape. 

AI is transforming how organizations function, leading to greater efficiency, transparency, productivity, and reach. But implementing AI solutions needs careful forethought and the support of an expert technology partner. Integra is committed to helping businesses harness the advantages of the latest technological advantages to grow. In between editions of The AI Edge by Integra, you can explore the latest updates impacting business by following us on LinkedIn. 

Best Regards, 

Sonia Gupta