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Robotic process automation (RPA) has become a staple item in the IT toolbox, like safety goggles or work gloves: You just can’t do the job right without it.

Automated processes aren’t going anywhere any time soon. That’s because in theory, automation enables greater efficiency and helps improve productivity.

Yet, the old RPA Catch-22 can be a thorn in the side of tech innovators. There’s always a “bot tipping point,” the unfortunate juncture where the expense associated with bot monitoring and maintenance outweighs potential ROI.

It’s a well-known story in the RPA world: You need automation to stay competitive. But bots must be monitored by people. The more bots an organization has in play, the more people are required to monitor them. And with that, the potential of ROI goes out the window.

Hello, AI-Fueled Automated Bot Management

There are seven key reasons that bots, even stable, well-built ones, will stumble. At ChoiceWORX, we call these the “serious seven.” They are:

  1. Host device changes
  2. Expired credentials
  3. Application outages
  4. Client application changes
  5. Upstream/downstream data access failures
  6. External application processing time
  7. RPA host memory CPU or browser use

Organizations often underestimate the resources required to manage and maintain their bots, so RPA developers often spend lots of time monitoring and making repairs. There are a variety of ways to plan an RPA initiative and strategy, along with differing complexities of the bots and their environments. Some companies allocate one employee for every 10 bots, while others say one employee can handle up to 20 bots. However, one thing is certain: we would all prefer that developers spend their time building value, not troubleshooting and fixing failures.

The conundrum drove me and Sam Gross, co-founder and Chief Executive Officer, to seek a solution that would shatter the inherent fiscal limitations of RPA.

One does not simply build a bot, send it off into the enterprise wild, and it’s good to go. It needs to be managed, maintained and monitored. Having a bot development plan is insufficient. You also need bot management and repair capabilities planned from the start in order to have a viable bot strategy – one capable of scaling.

Sam and I asked ourselves how that could be accomplished. The solution was in AI-powered automated bot management – something ChoiceWORX does best.

Harnessing The Power of Digital Labor & AI

Even as Sam and I identified the challenges of what we called the “RPA wall,” the question remained: How can RPA be implemented at scale in a way that supports business goals while remaining cost-effective?

There was no simple answer, because automated processes typically required extensive manual monitoring and maintenance. My own business background is in labor efficiencies, while Sam’s is in automation and artificial intelligence. Put those two concepts together, and you get digital labor fueled by an AI Reasoning Engine.

While IT employees once kept a close eye on bots to make sure they stayed functional, automated bot management enables:

  • Autonomous, round-the-clock monitoring
  • Instant identification of potentially vulnerable bot dependencies
  • Proactive repairs and updates when issues are identified

AI-driven automated bot management quickly and quietly handles changes within the bot infrastructure like expired login credentials, host device changes, application changes, and more. IT employees can take their time back from time-consuming bot monitoring and maintenance and use their valuable skills elsewhere.

Virtually Unlimited Scalability

One of the most challenging potential roadblocks for RPA deployment is scalability. Enterprise-level business operations deploy thousands of bots. Without fully automated bot management, an army of IT workers would be required to maintain the bot fleet. Dependencies, environments, and applications undergo change, sending even the best-built bots into a tailspin. All of this translates to “high labor costs,” since each time a bot breaks or stalls, an employee must step in to fix it.

Over time, this becomes costly and unmanageable, leading RPA adopters to question why they even bothered with automation in the first place. ChoiceWORX’s AI reasoning engine can emulate human decision-making and action, so it’s able to automatically detect broken dependencies, resolve issues, and flag unresolved faults before they can disrupt workflows.

Built-In Flexibility

ChoiceWORX’s automated bot management solution, Robotinuum, is compatible will all RPA platforms and integrates with leading RPA providers, like UiPath and Automation Anywhere.  No AI training is needed, and there are no implementation costs. Additionally, Robotinuum is the first and only RPA management platform that can oversee multi-vendor RPA programs from one spot.

The Future is Here

Bots overseeing bots? Sounds like the stuff of science fiction. Yet that’s exactly where we are in the RPA timeline. The old bot monitoring and maintenance model is obsolete, and digital labor is stepping in to take its place. ChoiceWORX recognized the fascinating growth potential of using AI to improve the end user experience while cutting labor costs – and automated bot management pulls it all together to help RPA adopters maximize results.

“We transform the support process from operating at ‘human time’ to ‘machine time,’” Sam said. “Things that maybe would’ve taken 15 minutes now take 30 seconds or a minute-and-a-half. The interruption to the end user, the disruption caused by their technology availability – those problems actually go away. They become a blip, instead of frustration.”

For more insight into how ChoiceWORX makes fully-automated bot management happen, contact us today to schedule a demo with an industry expert.