We are very pleased to have worked with award winning recruitment firm, Stanton House, to help them automate their internal processes for Paying Interims – improving the speed and quality of the process and giving their customers an even better experience.

Video Transcript:
Hi Jo, can you tell us about how embracent helped you to automate some of your processes?

Jo Finch – Finance Director, Stanton House
Sure. So we’ve got some very inefficient processes, taking timesheet information from one system and passing across to others, to enable us to pay our interims accurately and also to bill our customers – a critical part of our business as you can imagine. It’s a highly manual process and the accuracy is key to me. So we spend an awful lot of time double checking everything that was coming across. The great thing that embracent have done is to develop a UiPath bot, what that does, it takes away all of that manual process of the moving from A to B to C. It means that I don’t have to do as much checking because it’s just doing that piece for me. So it’s made a phenomenal difference, to our month end, and I would estimate that a month end and weekly billing would probably save in five to seven hours a week. Plus I’ve got the accuracy then of knowing that it’s right first time that’s going through systems. So we’ve been able to speed up our month end and ensure the accuracy and just make sure that we can spend our time investing in other things.

Hi Paul, as the person responsible for the team delivering the UiPath RPA solution, can you provide your thoughts?

Paul Mason – CTO, embracent
Yes, certainly, what was interesting about the delivery of the bot to Stanton House, is that we had to do it completely remotely. And the way that we’re able to do that is that we use what we call Analysts Developers, this is a person who will take the building of the bot through the entire life cycle. And that starts at the beginning, where they look at the process and evaluate that to make sure that it is a process that should be automated. They then if they look at the process and believe that they can make it leaner, they will do that. They will take that signed off process and then be able to take that into UiPath and create the bot. Once that bot is created, we share that with the customer. We work with them, ensure that it’s doing exactly what’s expected and on sign off, and testing of that, we will then transition that into production. And once it’s in production, we work with the client to make sure for the first few weeks that is working as expected. And then finally, we will transition that over into a managed service. Because what we want to do is ensure that we get the benefits realisation from the bot that we expected at the beginning.

Nick, can you give us your perspective on how embracent engaged with Stanton House?

Nick Eaves – Global Development Director, Stanton House
Yeah, it’s been a great experience actually. We knew embracent a little bit before we worked with them on this piece. In fact, we’ve recruited some roles for embracent so we kind of got to know them pretty well. When the team came in, they were very professional, they engaged really well with the team, and the documentation was great. And they advised us a lot on how to actually improve processes before we got into the actual automation. So, no, it’s been a brilliant experience, very professional, really took us on a journey with it and actually, we’re doing some ongoing work now on BI and the team are building KPI dashboards for us which is great. So that’s been a great experience. We’ve really enjoyed it and the team were great to work with.



By making better, well balanced technology decisions, we can help build businesses that are fit for the future.

Other Interesting Reads

Rising data levels​ – How to stay afloat with the increasing rate of new data being generated

Rising data levels​ – How to stay afloat with the increasing rate of new data being generated

How much data is too much data?…​According to Forbes, in 2018 90% of the world’s data was generated in the two years prior, with more than 2.5
quintillion bytes data being created each day! Since then, digital transformations such as the Internet of Things have continued to contribute to this unprecedented surge of data in recent years.

read more