• Too many information systems. Integration could be time-consuming and expensive, sometimes requiring a total reengineering of IT-landscape. Users have to handle different apps, which increases the average handle time, failure rate, makes some employees indispensable because of their implicit knowledge.
• High labor costs defer business sustainability. Some businesses require a huge volume of paperwork and data input, and for this reason their sustainability is questionable. On the other hand, RPA can enforce absolutely new business models with a near-zero labor demand.
• Scaling the business. RPA allows to process an increasing number of operations with the same headcount and prevent an exponential and sometimes even linear cost of growth. Companies can roll out RPA-changes faster than they would train their employees.
• Problems with a two-speed-IT strategy. Two-speed IT is a way of categorizing which systems are likely to change rapidly and which will change slowly. It often turns into an integration of a flexible digital front-end systems with a legacy back-end. RPA enables integration without any redesign of legacy software on a GUI-level.