In the last two articles, we went over how to combine A.I. and RPA, as well as some practical use cases. In this third and final article, we’ll be discussing some of the prerequisites for success.

While it is relatively easy to dream up use cases and work out how to approach an initial Proof of Concept, a more concrete approach is needed to successfully implement A.I. and RPA in any organization.

Which brings us to the most important question to ask:

Can you handle it?

It’s important to be realistic: not every company has the necessary maturity or blend of elements to start implementing cognitive automation. Below are some elements that we’ve determined as essential for the success of a cognitive automation project:

· A solid RPA base

When trying to add cognitive capabilities to standard RPA automation, it pays off to already have some solid experience with standard automation. Having a couple development cycles under your belt will give you a much keener understanding of what to look out for and what to avoid. This can manifest in many ways:

– A good understanding with IT to align the needs related to automation with those of other projects underway at the company

– SME’s and process owners that understand what a cycle entails, and what will be required of them to make the automation a success

– Organically developed best practices with regards to documentation and coding

If you already have all these factors present, adding a cognitive layer will be that much easier.

· Pragmatic knowledge of Artificial Intelligence

What we mean by this, is that it pays off to understand what can and can’t be achieved by adding a layer of A.I. to your automation. If you keep your expectations realistic, you have better odds of having that first attempt be a success, which paves the way for further integration of cognitive capabilities.

A successful cognitive RPA project is not something that you leave to junior staff to help them get experience. Ensure that atleast one person has experience with the theoretical side of AI, and ideally also some experience with actually implementing it in a live scenario.

· Excellent business understanding

This is crucial for RPA and even more so when you add that extra layer. By this we mean that you have to have a solid understanding of the process you are automating, and how it impacts and is impacted by other processes in your business environment. Nothing is worse than being blindsided by some requirement or procedure that was never considered during the initial business case, that leaves you scrambling to find a workaround.

· High quality data

We touched on this in part 2, but it’s just as important as ever. Don’t go and train a model if you don’t have the data to train it with. Good practices with regards to data governance and management will get you half of the way there, but it’s also important to decide whether you posses the data in sufficient quantities to get the result you are hoping for.

It’s quite a large and daunting task. That’s why we at BrightKnight are investing heavily in this area: We intensively train AI consultants by providing them with turnkey, plug-and-play components that can be used in a wide range of robotic processes across all organizations and sectors.

The BrightKnight Offer — Selected Components

Our Cognitive Automation offering currently consists of the following AI components and RPA offerings:

• For NLP: Stanford NLP, IBM Watson, and in-house developed code

• For classification and machine learning: Tensorflow and Scikit Learn.

• For datascience: Python libraries that we drive via C # directly from BluePrism (integration of JSON services with CherryPi), integration with other RPA tools also possible.

• For RPA: We have broad functional and technical development capabilities with BluePrism and UiPath but also have expertise in Automation Anywhere.

Interested? Want More?

We invite you to see our work in our cognitive laboratory, to concretely see what we are offering.

Whether you are a partner, customer, or just interested in learning more feel free to contact us at info@brightknight.eu.

Please comment/share and ask any questions you might have, we love to start a conversation.

We’re hoping this has sparked your imagination and interest in this ever growing topic. We here at BrightKnight feel the world is at the crest of a technological wave about to break. We want to be riding that wave and benefiting from its momentum, so join us for the ride !

Authors: Jerome Fortias, Daniel Fastenau, Nico Esposito

To know more about BrightKnight, be sure to check us out on LinkedIn!