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Adobe CIO: How we scaled RPA with a Center of Excellence
Cynthia Stoddard shares how her team’s Robotic Process Automation Center of Excellence helped Adobe grow RPA use rapidly – and win support across teams, including finance
At Adobe, we’re extremely committed to artificial intelligence and machine learning, and as part of that, embracing robotic processing automation (RPA) was a no-brainer. However, getting RPA or any kind of automation off the ground at an organization is a challenge. As I’ve noted before, just the word “automation” can trigger anxiety about job losses.
[ Read also: Adobe CIO: How IT automation became a team eye-opener, by Cynthia Stoddard. ]
When we implemented our RPA program about 18 months ago, we began with a proof of concept and then a pilot program, to gradually integrate RPA into our processes and get our people on board. Seeing RPA in action helped demystify the concept for many, and allowed them to see how they would work alongside the bots instead of being replaced by them.
We initially rolled out RPA to automate some of our more repetitive processes in finance, such as purchase orders and contract creation. We built some major momentum from these initial results:
- RPA took over 76 percent of the work involved with creating purchase orders for hardware purchases, resulting in a 79 percent reduction in hours spent on manual work.
- For contract creation, RPA took over 82 percent of the work involved in creating purchase orders for contracts, resulting in an 82 percent decrease in manual hours spent.
- Wire transfer requests from different teams were set up to be read by a bot, with the info extracted being used to process requests for payment. This has led RPA to take over 82 percent of the work involved with wire transfer requests, resulting in a 94 percent decrease in human hours spent.
[ How can you discuss RPA in terms anyone can understand? See our related post, How to explain Robotic Process Automation (RPA) in plain English. ]
Why do you need an RPA Center of Excellence?
These early experiments with RPA were so successful that it became obvious we needed to create an RPA Center of Excellence (COE) to drive further implementation, faster. Too many organizations approach their technological capabilities as point solutions and never take a holistic view, which is ultimately inefficient and limits the ability of the program to organically thrive.
The RPA COE describes the structure for rolling out, managing, and growing RPA functionality in an organization and is quickly proving to be a vital component of a successful RPA program. It usually comprises a mix of technologies, people, processes, and policies that define how it operates within an organization and helps guide its maintenance as well as its expansion as part of the overall technology stack.
Creating the RPA Center of Excellence
Adobe’s RPA COE has made a point to keep our people at the center of RPA implementation and growth. Gaining buy-in across the organization has enabled us to scale RPA, with full support from business stakeholders.
For instance, a strong partnership at the senior leadership level between myself and our CFO has established a model for collaboration across our teams.
We also have benefited from the beginning from buy-in among our finance stakeholders, which is important because finance has historically been a late adopter of technology, given the risk involved in those early experimental phases. Our finance teams have been spearheading much of the RPA push within the company because they were able to accomplish so much with it so quickly. Given their commitment to improving processes with tech innovations, they have established a council to determine how best to leverage technology, especially RPA, with strong participation from IT.
Having finance partnering with IT has paved the way for the standardization of RPA in several areas of the organization and has been the foundation of our COE.
The COE is also influencing how we apply RPA to our IT and cloud operations processes to remove toil – the work tied to running a production service that tends to be manual, repetitive, and automatable. We are leveraging RPA with our Global Operations Center to automate tactical and repetitive areas, including transactions that require review and approval. We are closely tracking how our staff benefits from this shift while driving efficiency.