Plunging into the Golden era of AI Automation and robots are performing our operations. Adherent to each side of the coin embracing their ideas for more or less than an era, though most of them neglect the fact that has arise as objective truth: various business process automation are oppressed by obstacles such as legacy infrastructure, proneness to accrue assets and a rigid approach to implementation.

Most of the business leaders constantly think that the legacy system is an investment that has already been incurred. Though as per modern use of system and emergence of outcome based model , legacy infrastructure has reflected as a sunk cost that is onerous to discard apart from fluctuating value. Steady investment in hardware and software are constituted together and emerging as redundant. However, they are becoming constantly irrelevant capital expenditure consuming the estimated budget that could have been utilized in AI and Automation systems.

Implementing a rigid approach obstructs efforts of the organisation through much time taken in completion of project and in delivery period. According to research conducted, most of the organisations are focusing on avoiding this through adopting ad hoc approaches to automation solutions including fragmented applied cases and solutions from various vendors in variation with a holistic and integrated approach.

Implementation of automation solutions can be considered as successful though it can never be an easy approach whereas plenty of solutions and processes are available to formulate adaption as sleek as possible for any organization within the required budget. There are three methodologies that any organization should adopt while implementing and constructing road maps with a view to ensure the utilisation of full potential.

Automation as a service ideal-

The organization comprising an executive and wide range of sources of data and input information can apply automation as a service approach which can offer automation solutions at proportionate cost.

Automation as a service model reflects in the form of a prebuilt system which allows organizations to get access to automation tools and technologies with the scalability, sprightliness and flexibility in the service line. With the huge amount of uncertainty regarding usage of these tools, automation as a service ideal has emerged as a compelling way to obtain advantage of AI based technology within the appropriate and least incurred cost.

Role based approach to automation-

This approach is the elementary creation of digital assistants which result in increasing the speed of the processes more than previous capacity within limited cost.

They do not substitute human employees of any organization however, they allow to augment the capabilities of your employees and provide the best mundane and create systematic processes for repetitive tasks. Most of the employees are in favor of the idea that is reskilling of work by conjunction of bots and business leaders are starting enjoying the advantage of clear and measurable ROI.

Automated UI

What if there is a possibility of completing a particular task through automation by automating some of the processes where there is no requirement of the engineering team. Platforms of automation enable these capabilities to be used by constituting a library of marketplace of available bots which are designed to automate certain specific business processes. Ordinary employees can utilise that without having proper knowledge of coding. This approach can allow organizations to automate at large scale without any requirement of a quantity of experienced developers and data scientists.

There is no particular strategy that can allow organizations to face obstacles of automation and the right approach is to handle it with maturity. Organizations with a wide approach and goals, can adopt this by following the assessment of existing assets and with the intent to eliminate legacy infrastructure.