The Secret to Scale

Blog
21.2.24

Why aren’t more organizations scaling their automation program? Our theory: the amount of manual effort needed to keep automations running effectively isn’t sustainable.

The Secret to Scale

Blog
2.21.24

Why aren’t more organizations scaling their automation program? Our theory: the amount of manual effort needed to keep automations running effectively isn’t sustainable.

The Secret to Scale

Blog
2.21.24

Why aren’t more organizations scaling their automation program? Our theory: the amount of manual effort needed to keep automations running effectively isn’t sustainable.

Person using laptop

The Secret to Scale

Blog
2.21.24

Why aren’t more organizations scaling their automation program? Our theory: the amount of manual effort needed to keep automations running effectively isn’t sustainable.

The Secret to Scale

Blog
2.21.24

Why aren’t more organizations scaling their automation program? Our theory: the amount of manual effort needed to keep automations running effectively isn’t sustainable.

Person using laptop

RPA is great … when it works

Let's face it: RPA isn’t infallible. Systems go down, processes encounter unforeseen errors, and bots falter unexpectedly—leading to disruptions in operations and undermining the very efficiency RPA aims to deliver.

 

The pitfalls of traditional monitoring and maintenance models

Organizations are too reliant on manual monitoring and maintenance models to keep their RPA systems running smoothly—which presents challenges.

For starters, it’s resource-intensive, requiring people to identify and rectify issues as they arise. This introduces delays and adds to operational costs—making scaling operations nearly impossible.

More importantly, it’s reactive rather than proactive, meaning that problems are often addressed only after they have already caused disruptions. This degrades the tool and your team’s reputation.

 

It's time to automate your automations

The solution is obvious. COE’s need automated monitoring and maintenance systems that are capable of self-diagnosis, self-healing, and self-optimization.

By minimizing human intervention and maximizing resiliency, organizations can begin scaling their RPA initiatives more effectively and efficiently.

With automated monitoring and maintenance processes in place, businesses can ensure the uninterrupted operation of their RPA systems, even in the face of unforeseen challenges.

 

So, if you’re thinking “that all sounds great – but how?” keep reading…

By leveraging C TWO’s advanced analytics, machine learning, and AI powered monitoring, organizations can empower their RPA systems to detect anomalies, predict potential failures, and take corrective actions autonomously.

Think about how different your day would look if you didn’t have to deal with unplanned downtime interruptions like:

  • VDI resets due to terminations, frozen sessions, eternal loops, software crashes and other unpredictable issues.
  • Restarting and reprioritizing terminated processes.
  • Simple but disruptive login/logouts for VDIs and to change users between processes.

With C TWO, your automations are guaranteed to deliver results on time, and team productivity will hit an all-time high. The issues above become non-events as they're addressed automatically—leaving you and your team to focus on your day job and building new automations.

 

“Our team was dedicating a significant amount of time and manual effort to keep processes running and still often missing SLAs. With C TWO, processes always operate at 100% SLA adherence—giving our developers the confidence and time needed to continue scaling our automation program.” 
IA Product Owner, NewDay 

The bottom line

Stability isn’t a nice to have --- it’s a need to have in order to effectively operate and scale your automation program. You already made the choice to automate processes, now it’s time to automate the automations!

 

Ready to take the first step? Book a short meeting with us here.