SimplyAI
Building Data Platforms with Real Business Connection

The decision to bring about a technology change in an organisation is flawed. Organisations often jump into the latest talk-of-the-town technology, expecting a dramatic change in their businesses and ease of operation for employees. It takes a couple of years to comfortably transition to new technology only to find that the business connection is missing and employees are doing the same mundane task, only on a new platform. The technology, such as AI/ML, Automation and Data Science, promises to make organisations efficient and reduce key people-prone risks, apart from reducing costs or increasing revenues. These technologies can help them become a data-centric organisation that functions on data-based decision science and get employees’ imagination connected with the technological solution. To enable such a transition, Sydney-based SimplyAI has come up with a unique approach to Intelligent Automation.

SimplyAI specialises in bringing Intelligent Automation and Data Modernization together to create the best outcomes for their customers. The company focuses on helping the organisations be better at their decision making based on accurate data and improving business outcomes based on how technology is best utilized. “Organization’s need help in understanding their data/information flow to allow them to exceed the customer experiences,” says Anthony Scott, CEO, SimplyAI. “We are outcome focused, we are not just coming up with interesting insights but actually connecting it to real business outcomes through improving the customer and staffing experiences, whilst reducing costs and risk.”

Anthony’s team believes in educating the top management about the possibilities of what the Robotic Process Automation (RPA), AI/ML can deliver and how to utilize these technologies best to generate value.

SimplyAI looks at the structured, unstructured and semi-structured data and figures out a way to bring all those in structured states. “Based on our assessment of the processes, we inform the client about the biggest improvements in their processes, ranked as per the ROI,” says Jason Catania, Chief Data Officer. “We enhance the client’s ability to perform the process, improve the risk profile and employee and customer experience.” The company brings good insights for a successful business and enables those critical business calls based on the correct data. One exciting facet of the delivery of the solutions by SimplyAI is that they have been able to create reusable assets that help them fast track the project.

The skilled, Intelligent Automation specialists at SimplyAI have experience across different sectors like government, insurance, finance, and utilities, to name a few. They can operationalise the information generated via AI based RPA that delivers business value to the clients. For example, a health provider wanted to consolidate their customers’ data and documents from mobile applications. The provider followed a complex manual process where they would get many different files for various medical organisations, go through the data, match the customers patient data together, consolidate the files and match the details. SimplyAI identified the gaps in the process and came up with a streamlined process by working with subject matter experts.

Result?

The final automation extracted the data from multiple systems, matching that one identity point of view, and bringing the documents, store repositories, clinical notes, claim history, and client order into a consolidated PDF file, and log that into the CRM.
"We are outcome focused, we are not just coming up with interesting insights but actually connecting it to real business outcomes through improving the customer and staffing experiences, whilst reducing costs and risk."
Such work across industries has helped SimplyAI attract the best talents and partner with leading technology providers. Anthony Scott hopes that their data science and AI framework built on open-source cloud technologies that will allow their clients to generate a lot more value out of their data a lot quicker, and not having to spend a whole lot of time learning new technologies, but just using them.