inSTREAM’s use of multiple technologies overcomes the limitations of other platforms in its ability to process unstructured documents; (Invoices, Sales Orders, Claims and Customer Correspondence) this is achieved using a combination of Machine Learning and Supervised Learning through the use of ‘Human in the Loop’. inSTREAM collaborates with operators who teach it where to find key information and learns from every transaction it processes, therefore as the volume of documents increase, its confidence and accuracy improve ensuring continual optimisation and scalability.

Another way in which organisations can scale IPA deployments is through better communication. Communication needs to share not only the wider organisational efficiency successes but also the benefits to individuals within teams. There is often a misapprehension from operational teams that they will be displaced by new technology which can result in resistance to their investment and support of the project. In order to mitigate this, organisations need to reinforce the fact that humans will always be needed to support and collaborate with Machine Learning, as within inSTREAM’s ‘Human in Loop’ system. Through better communication of new responsibilities and roles, as well as individual benefits, such as greater job satisfaction and training opportunities, higher acceptance across all levels of the organisation will be achieved, enabling greater scalability across the business.

In conclusion, the ability for an organisation to scale IPA deployments is due to a better understanding of the limitations and applications of technologies, stepping outside of industry hype, but also by gaining buy-in from the individuals who will be interacting with and benefiting from IPA on a daily basis. Through tackling these two fundamental blocks to scalability, organisations can achieve Digital Transformation and continued success.