![]() ![]() ![]() Automation was identified as a prime solution to cope with that volatility, but the rush to automate has resulted in what normally happens when design and development are rushed-fragile automations that break.Īutomation requires considerate, conscious design that prioritizes process improvement before the automation is delivered. The pandemic, along with the surges in supply and demand that came with it, amplified this desire. Over-automatingĭue to the operational efficiency and reduced cost it promises, organizations' business functions push for more and more automation. Learn more: How to Overcome the Top 3 Challenges of Poor RPA Governance to Maximize ROI 5. This also ensures that continuous improvement through lessons learned can be implemented so that costly mistakes aren't repeated over and over again. Templates and guidelines are needed to standardize how automation work is designed, communicated, and developed to follow best practices. Strong automation design that minimizes risk downstream requires defined processes for identifying, assessing, validating, and prioritizing RPA opportunities. This is why many organizations have taken the step forward and established their own RPA Centers of Excellence, whose primary responsibility is to define a governance model. A lack of knowledge sharing, different automation design practices, repeated mistakes, and even siloed RPA tools all lead to high costs and a diminished level of quality whose damaging bite is felt in the long run.Įffective automation design relies on a robust and strong governance model. Allowing Islands of Automation to ExistĪutomation programs based around an RPA Center of Excellence have the standardization and knowledge sharing needed to ensure high-quality automation design that yields resilient digital workforces.Ĭonversely, organizations with Islands of Automation where different lines of business design and deliver their own independent automations are destined to succumb to the crippling burden of bot outages and RPA downtime. ![]() Your RPA project should deliver resilient, high-quality automations that won't constantly break and eat away at the expected business value it should be delivering.ģ. Inefficiencies, gaps, and waste should be scrutinized and identified in RPA candidates and addressed during the design process. RPA isn't just an opportunity to automate repetitive, rules-based processes it's also an opportunity to drive process improvement through automation. It's a simple concept, but it needs to be said: optimizing poor processes will lead to poor automations. Failing to Optimize Business Processes Before Automating IT understands the limitations of automation, ensuring strong business processes are selected as candidates, and the business imparts their expert process knowledge and understands what the organization wants. To put it simply, they're picking the wrong processes that lead to RPA maintenance and support headaches later on.īeyond defining clear RPA criteria when considering processes to automate, this is why it's so important to have shared IT and business ownership of RPA. This is an area of automation many organizations are misfiring on. Poor Business Process Selectionīefore the automation is designed, an RPA candidate must be identified and selected. ![]() These seven most prominent hidden risks of automation design in business can maximize your returns and get you well on your way to effective automation at an enterprise-scale. That's because there are inherent risks in automation design that will diminish RPA ROI and sink any attempts to scale when not consciously accounted for. Instead, enterprises across industries spend the bulk of their time and resources patching up brittle digital workforces that constantly break, keeping their returns low and frustrations high. But the returns and quick time-to-value they were promised haven't been so forthcoming. It's why the majority of organizations are well past pilot projects and going full throttle on RPA. There is no questioning the value enterprises see in automation. ![]()
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