Robotic Process Automation (RPA)
Financial institutions are playing a numbers game in the core of their business: they evaluate risks and opportunities of potential transactions and if the perceived benefits outweigh the associated risks they will agree to the deal. In the case of traditional banking, this is true for the credit approval process, whereas in the case of insurance companies, the correct evaluation of risk factors determines the conditions of an insurance policy. Like weather forecasts demonstrate, assessments of future events like risk factors or return expectations may occasionally be wrong.
Enterprise or GBS model? Where on the RPA journey? Biggest challenges? More knowledge-based work? The SSON Analytics Live Polling at the SSOW 2017 among conference attendees brought some interesting insights into the Shared Services & Outsourcing market. Read all the results here for free: http://bit.ly/SSOW-Polling-Results
Robo-advice, also known as ‘automated advice’ refers to the provision of financial advice with as little human interaction as possible. A strand of artificial intelligence, robo-advice offers guidance on the basis of mathematical rules and algorithms rather than human intelligence. Whilst algorithmic trading may have been around for many years, the concept of a ‘robo-adviser’ has only recently become a reality.
Mary Lacity’s and Leslie Willcocks’ joint research in progressive outsourcing approaches has helped companies navigating modern outsourcing for over two decades.
The rise of Robotic Process Automation (RPA) is nothing short of spectacular. It has captivated the attention of digital operations executives with the promise of cost-savings beyond labor arbitrage, cost avoidance by extending the life of legacy IT, quicker implementation than traditional IT projects, business-user friendliness, auditability and compliance, straight through processing, and let’s be honest – terrific marketing.
Whether you crossed the automation chasm early, or are just starting your journey into digital service delivery, you’re not alone if you’ve got questions surrounding technical ecosystem choices. Generating ROI—and how exactly to go about proving the value of numerous small automation projects versus one giant re-platforming initiative—is a common challenge.
Open vs. Closed Ecosystems
The UK has a productivity problem. We’re lagging well behind our European neighbours and have been for decades. One of the reasons? Advocates of the tired theory of taking the ‘path of least resistance,’ discourage businesses from trying anything new when a tried way of doing something is available.
When considering Robotic Process Automation (RPA), a lot of adopters have made the strategic call that they want to create their own RPA capability internally. They want a Center of Excellence (CoE). It can be a comprehensive CoE or it could be components that are stitched together with other third parties, for instance. They want analysts that can identify and scout for good processes for automation and change. Or, they have the need for configuration, testing, ongoing monitoring of the automation, as well as maintenance and support.
Robotic Process Automation (RPA) tools are being widely adopted across a wide range of enterprises and industries. By executing narrowly defined, repeatable tasks, RPA bots can drive dramatic productivity increases and significant cost reductions. For as little as $10,000 to $15,000 a year to deploy and maintain, a single bot can perform the routine, administrative tasks of five to ten people.