Skip to content
MarketScale
‹ Back to IndustriesSoftware & Technology

Explaining Robotic Process Automation

Robotic Process Automation (RPA) is an advanced form of hyperautomation transforming industries by automating repetitive tasks using intelligent robots. Enterprises can utilize RPA in various departments, such as accounting, HR, and production, to maximize workloads and improve productivity. However, businesses must ensure their processes are optimal before automating to avoid poor outcomes.

This story was produced through MarketScale. See how Software & Technology teams put it to work with Executive Thought Leadership.

By Gerry Mecca · AutomationGerry Mecca PodcastMarketscale RadioMecca Minute
Share
Explaining Robotic Process Automation

Key takeaways

01

RPA elevates hyperautomation by automating repetitive tasks across industries.

02

It's crucial to optimize processes before automating to prevent fast-tracking poor results.

03

RPA can enhance productivity and provide job security by increasing workloads and reducing costs.

With this edition of the Mecca Minute I’d like to talk a little robotic process automation or RPA. RPA is hyperautomation that takes automating processes to the next level. Like many other subjects I’ve shared in the past, this concept is not new. But the big reason that it has evolved from a dream to reality is the power of the cloud, or more specifically virtualization.

We are all familiar with Internet BOTS. They are both beneficial and malicious in that they can automate PC fixes or replace service desk calls but they can also make you susceptible to unwanted ads or unintentionally sharing personal info. Then there’s Super Bots like Alexa, Cortana, Google Assistant and Siri. All are programmed by humans to point at some source and simplify searches or to enable home automation. But this is not the same thing as RPA. Enterprises can deploy intelligent robots to automate repetitive processes in accounting, production, HR, plant maintenance and much more.

But be careful, enterprises should fix their bad processes before they automate them. If you automate a “crap” process you’ll just end up with a “crap” result, only faster. Also, from a change management perspective, people resist enterprise RPA as risky, and workers revolt as they fear bots will take away their jobs. But I happen to be one of those who disagrees.

In fact RPA will maximize their workloads, stave off increased costs and skyrocket productivity which is job security. And this only gets better in time as this space is evolving utilizing artificial intelligence and whatever the future holds. Fix the process, invest in RPA and remain a player. This has been Marketscale’s Mecca Minute.

About the author

Gerry Mecca
Gerry MeccaGlobal Chief Information Officer

Cutting-edge Senior Leader whose technology solutions and business acumen have enabled startups as well as established global companies to grow and thrive in highly competitive markets like IngramMicro, Applied Creative Technology, ConocoPhillips, Dr Pepper, Cadbury, Keurig, Datascan, and Tropicana. Works across organizations to develop, communicate and sell an innovative technology vision that drives companies forward.

Software & Technology: are you visible to AI?

Before they reach out, Software & Technology buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one Software & Technology expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's Software & Technology expertise into the articles, video, and social content B2B marketing buyers in your industry are searching for. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Software & Technology Insights

Enterprise AI is splitting into two economies: leaders redesigning operations and spenders chasing ROI that never arrives

Enterprise AI is splitting into two economies: leaders redesigning operations and spenders chasing ROI that never arrives

Enterprise AI is evolving into two distinct economies: firms that are leveraging AI to fundamentally redesign operations and those that are merely layering AI tools to chase return on investment. Organisations in the first group are seeing accelerated progress and competitive advantages. The second group remains stagnant, unable to fully capitalize on AI's potential.

  • 01Organizations that redesign their operations with AI are outpacing those that merely add AI tools on top.
  • 02Focusing solely on ROI from AI without operational redesign can lead to stagnation.
  • 03A strategic approach to integrating AI can lead to competitive advantages.

Aug 7, 2026

Dreamforce 2026 puts the agentic enterprise on trial in San Francisco this September

Dreamforce 2026 puts the agentic enterprise on trial in San Francisco this September

Salesforce's Dreamforce 2026 will occur in San Francisco from September 15 to 17, focusing on the potential of autonomous AI agents, Data 360, and scalable governance. It will serve as a platform to discuss these themes within the tech community. The event will likely attract technology leaders and professionals interested in AI and data management.

  • 01Dreamforce 2026 will take place from September 15–17 in San Francisco.
  • 02The event will spotlight autonomous AI agents, Data 360, and governance at scale.
  • 03Attendees will have the opportunity to explore advancements in AI and data management.

Aug 7, 2026

AI startups collectively raised $305.6 billion as Forbes' 2026 lists show enterprise AI going mainstream

AI startups collectively raised $305.6 billion as Forbes' 2026 lists show enterprise AI going mainstream

Forbes' 2026 lists demonstrate the significant growth in the AI startup ecosystem, with companies raising a collective $305.6 billion. The focus is shifting towards revenue discipline and tailoring AI solutions for enterprise needs as the technology becomes mainstream.

  • 01AI startups collectively raised $305.6 billion.
  • 02Revenue discipline and enterprise specificity are now crucial in the AI market.

Aug 7, 2026

Explore More Software & Technology Insights

Read more expert perspectives from across Software & Technology.

Browse Software & Technology Hub

About the Expert

Gerry Mecca
Gerry Mecca

Global Chief Information Officer

Gerry Mecca is a cutting-edge senior leader specializing in technology solutions. He has a strong background in implementing innovative IT strategies to drive business improvements.

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Software & Technology and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512