Many companies are now deploying new intelligent automation technology, most beginning with Robotic Process Automation (RPA), but increasingly the promise of machine learning and pseudo AI is giving us new routes to deliver value to our businesses. However, the path to automation success isn’t always smooth.
Whether you were an early adopter of this technology, or are now picking up the baton at mass market adoption stage, the challenges of delivering intelligent automation into our businesses at scale are now becoming clear:
Value: When every business unit wants a piece of the action, how do you prioritise which automation will deliver most value to the business in the shortest time?
Governance: How do you create a robust governance environment that allows you to control your bots, regardless of the tools chosen and blend them into processes that involve people as well?
Ecosystem: Should you pick one vendor and tie yourself to their technology, or should you support an open ecosystem using the right tool for the right job? If you go with an open ecosystem, how do you manage the myriad tools in a simple way?
Resource: How do you go beyond the benefits of automating single tasks to creating digital services where the whole process is optimised for speed, technology and utilisation of all resources (not just people)?
Size: How do you compare the value delivered by hundreds of small process automations with those demanding single ‘big ticket’ technology transformations?
In some cases, you can meet these challenges with mixtures of robust process, smart people and effort. However, they can also be addressed with new service orchestration technology.
If you are facing any one of these challenges currently, or believe that they may be heading in your direction soon, then get in touch with us today.
We will take you through these challenges in detail and set out the different approaches to addressing them, introducing the concept of service orchestration and where it fits into the automation environment.