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Strategies for Scaling Automation Adoption and Maximizing Company-Wide Benefits

Author

Keith Sayewitz

https://www.linkedin.com/in/keith-sayewitz-3504797a/
keith.sayewitz@auxis.com

Commercial Managing Director & Restaurant Leader, Auxis

Digital success and business success are irrevocably linked in the modern world – and the ability to fully capitalize on critical technology like UiPath Robotic Process Automation (RPA) helps differentiate the winners from those who get left behind. But without the right expertise, it’s no secret that most RPA programs struggle to address automation problems with solutions that scale buy-in and benefits across an enterprise. 

Holistic RPA matters. Company-wide automation achieves 40% greater efficiency and productivity improvements than piecemeal approaches. 

Yet while 70% of enterprises have at least piloted automation – and most executives believe it’s possible to automate at least a quarter of their company’s tasks within the next five years – less than 20% have managed to scale the technology across multiple parts of their business, according to a 2022 McKinsey Global Survey. 

The pandemic proved that no other digital transformation delivers the same quick benefits as RPA done right: optimizing costs and resiliency while empowering your workforce to work faster and smarter. ROI is measured in months instead of years, with no pricey overhaul of legacy systems required.

But scaling RPA isn’t easy. It requires a comprehensive, step-by-step assessment that examines every labor-intensive process in your organization, identifying and prioritizing the best opportunities to keep your journey moving forward.

Deloitte’s 2022 Global Outsourcing Survey states that a whopping 93% of enterprises are turning to third-party RPA partners, recognizing the need for skills, advice, and resources they don’t possess to overcome automation problems with solutions that unlock the full potential of their investment company-wide. 

5 common automation problems that can derail your journey 

So, why is RPA scaling so hard to get right?

1. Lack of strategic planning.

An effective Proof of Concept (POC) can be dazzling, and enterprises often start automating for the sake of automating. But RPA journeys based on a vague idea of wanting more robots are doomed for failure. 

Whether the goal is cost savings, quality control, real-time reporting to achieve one version of the truth, or another driver, aligning leadership behind a strategic vision at the start keeps your program from imploding because it tried to accomplish too much, automated processes that didn’t make sense, or focused on isolated areas. 

2. Building on bad processes.

Most businesses underestimate the complexity of their processes. Unfortunately, unresolved process exceptions cause bots to break – and frustrated users to revert to manual work. 

Applying automation to a process without fixing its underlying flaws is another common mistake, simply making an inefficient process run faster.  

Hiring an RPA team that combines business expertise with technical capabilities is critical to tackling this automation problem with solutions that maximize the value of your program. The biggest ROI stems from innovating and improving how work is done, not just