“Lanshore led our Total Pay transformation project, required to merge several businesses. Their strong programme management and deep skill levels were key to the project’s success.”
Head of Commissions, UK Bank
June 23rd, Webinar
Join us in the informal session where our panel will answer questions on process identification and business case development for RPA Processes.
July 7th, Webinar
Accurately forecasting was always difficult in a company of any size. Now with recent events it got harder and more important in equal measure. In this session we will discuss what we can do to improve accuracy, leveraging Machine Learning in these challenging times.
July 28th, Webinar
Automation in US Counties. This is an invitation only event, please click if you are interested.
We have heard all the good and bad about RPA. The good, RPA can reduce existing system cost of ownership up to 40%. The bad, up to 50% of RPA projects fail
Given there are success stories that are amazing in RPA like the one Chet Chambers from UiPath discusses, where he automated over 500 processes before he left HP, it’s no secret that RPA should be in every company’s future. So let’s talk about how to achieve that success and more specifically how you can take the proper steps to achieve the efficiency that RPA provides.
I’ve been working with commissions for well over 20 years now and have heard the following forever: Excel is prone to error and is not a reliable commission system. Further, Excel has 6% (from some study from someone) error rate.
We have seen commission systems for well over 20 years now, all with the promise of automation and miracles. In many cases this requires some substantial effort, whether configuring the commission system or developing integrations that require high skill set levels, substantial time to test and are prone to bug fix issues for years to come
