Are too many of your resources tied up in repetitive, mundane tasks and can’t see the wood for the trees?
Intellimorph uses Robotic Process Automation (RPA) and Artificial Intelligence (AI) technologies to help you transform your workforce by accelerating business processes, removing waste and letting your team focus on the bigger picture. By adopting a people-first approach, we address your fears and guide you through the automation journey towards an intelligent enterprise.
Digital Transformation is by no means a new concept. It simply refers to the adoption of digital technologies to replace older manual processes. Whether you are replacing old processes with digital versions or replacing old digital technology with newer ones the aim is to evolve through the use of newer digital techonologies.
Robotic Process Automation is a system integration technology that aims to replicate how humans carry out business processes by replicating their actions. These software "robots" can work efficiently and at scale without getting tired but they obey strict defined rules.
Artifical Intelligence is a "catch-all" term used to describe any technology or tool that has the ability to make a decision on it's own without a human involved in the decision process. There are a lot of technologies and ways this could happen and we're constantly seeing these technologies being injected in all sorts of clever and creative ways to improve and enhance older tools.
Chatbots are a very clever way of improving the human interaction with other technologies and systems by lowering the techonological barrier to entry for business users. It's based on Natural Language Understanding and Processing technologies who process text provided by end users to understand and respond via actions carried against target systems.
Given the lack of intelligence of traditional RPA, there are limits to what can be accomplished through the use of RPA alone. However, when combined with AI tools and technologies, Intelligent Automation can now perform a much wider range of processes and is able to automate more complex end-to-end processes.
A process that's becoming increasingly common, Data Analytics is the analysis of different datasets to examine and draw conclusions on the data within. As the saying goes: 80% of the data at any organisation is unstructured and not understood fully. In order to make data-driven decisions it's imperative to understand as much of your data as possible.
Having structured and extracted some useful analysis from your data, it's now up to how you communicate and share this information with the rest of the business. Data Visualisations aim to convert data into meaningful dashboards, charts and graphs that anyone can read and understand.
A model that is becoming increasingly popular in some industries and sectors is Business Process Outsourcing, where an organisation outsources a process, multiple process, a team or even a department in some cases, to an external third-party who aims to perform those processes to the standard agreed between the two parties.