Machina’s team is built with passionate individuals possessing strong systems implementation backgrounds, allowing them to not only bring automation expertise to the table but to also bring the structure, rigor, and leadership needed to successfully manage and deliver automation projects. They pair this systems implementation expertise with an extensive knowledge of intelligent automation technologies and of the energy industry. Their practitioners average over 10 years of energy experience. This deep domain knowledge accelerates implementations and improves process selection decisions, thereby reducing the risk and cost of transformation and dramatically increasing the benefits that can be achieved. “We started Machina and built our team with the goal of solving important problems for our customers, but also with the goal of building a company we were all proud to call home,” says Doug. “Machina is a company built on trust, accountability, and integrity. It is a company where we know and care for one another as individuals. It is my philosophy to hire talented folks with a diverse set of skills, to support them, and to get out of their way and let them do what they do best.”
As a result, the company keeps pushing the boundaries of innovation to provide exceptional value to its customers. An example of this is the origin of their managed service support offering. “Early in our lifecycle as a company, we created a managed service to support the robots we build. This offering was off the ground as our first bots were live. This service was launched to support a need in the market for which a solution simply did not exist. Many of our customers were not prepared to support their own bots and others in the market were not yet thinking along those lines. This offering filled a crucial gap for our customers, while simultaneously providing value to our clients and to Machina,” says Doug.
Doug additionally points out some of the key challenges when implementing technologies such as RPA, that Machina is uniquely positioned to meet. These include choosing the right processes to automate, completing a thorough and high-quality design for the automation and thoroughly testing the completed automation. “The quality of RPA implementations is heavily dependent on the quality and thoroughness of their design and of the testing scenarios that are developed for them. As with any other technical implementation, business scenarios for each automation must be thoroughly documented and fully tested to ensure that errors are found and resolved prior to the implementation of the automation. Therefore, simply hiring a talented RPA programmer to build your automations is not enough. Without a strong business analysis and a thorough front to back approach, RPA projects will struggle to succeed.”
He also asserts that the intelligent automation capabilities are still evolving. “Even today, RPA tools such as UiPath are just one of the building blocks necessary for a holistic digital automation strategy. Other tools important to a well-defined strategy include process mining, workforce orchestration such as Enate, cognitive tools like ABBYY’s suite of OCR based products and NLP/NLG, as well as integration with AI decision-making tools like IBM Watson and Google TensorFlow,” says Doug. “This landscape is just beginning to fully emerge in our market.” RPA will continue to evolve to more intelligent automation through the addition of advances in ML capabilities. In the long term, Doug suggests intelligent automation capabilities will be a business norm and will be leveraged to broaden into AI and expert systems within the industry.
When asked what factors he believes could impede the continued growth of RPA in the market, Doug stated the following, “At a Macroeconomic level, economic slowdowns and advances in competing technologies could certainly have a negative impact on the growth of RPA. However, within individual organizations, there are also factors that can impede the success and growth of RPA. The most significant of these factors is fear. That may be the fear of the impact of workforce automation or even simply the fear of the brave new world of intelligent automation. Additionally, companies often have the perception that they are too busy to invest the time required to implement technologies such as RPA, even when doing so will ultimately save them the time they so desperately need.”
In conclusion, Doug shared a bit about Machina Automation’s growth plans for the future. In the short term, he expects to continue to grow within Machina’s current market space, that being primarily RPA for the energy industry with incremental work in adjacent industries and with complementary technologies. The long-term plan includes growth through expansion more fully into other verticals and by continuing to grow within the market as other machine learning and artificial intelligence technologies mature.