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Find out how hyperautomation can help you step up your digital transformation journey with functional specific automation use cases and intelligent automation adoption options
Hyperautomation solutions & services cannot be defined as point solutions, and the approach varies with different factors like the company’s current technology adoption, their objectives, cultural resistance, current process & data management, and so on. Having been involved in mid to large transformation projects, here are some of the best hyperautomation approaches that we suggest
We work with our clients to discover the current state of business processes, the data involved, and the technologies used to help set a clear scope along with the timelines and metrics to measure. Hyperautomation solutions will focus on the risk factors to mitigate before goal setting and a proper metric system will be infused to measure the progress of the transformation planned.
Once the goal is set to accomplish, use case scenarios are created across business functions and priorities are finalized. A fusion team is formed to bring in a unified approach and map progress towards the objectives. Technology fitment to meet transformation goals is determined and the pilot phase is initiated.
The right hyperautomation services provider should pick the right tools and technologies that pave the way for establishing a Digital-first organization. An assessment is performed to understand the current optimization levels across the different BUs. A digital-first approach is institutionalized to enhance the business of experiences (user experience, employee experience, system experience, and customer experience).
From the learnings gained from the pilot phase, hyperautomation solutions are customized for different business units - Capacity planning, change management, and SLAs are generated. The scope for citizen development is established. Early adaptors will evangelize hyperautomation efforts.
During the execution phase, the process and data are reimagined & redefined, and simple rule-based automation & RPA-based automation are established. Orchestration of multiple technologies, tools, and platforms including artificial intelligence, learning from data exceptions, and tuning bots to self-learn by establishing AIOPs, ML Ops, and Analytics process automation.
A technology partner plays a major role in the successful execution of hyperautomation services, and it is also the duty of technology partners to create a transformation engine that fuels itself from the new technology and cultural changes incorporated, leading to a continuous and durable transformation to provide a 360-degree business of experience.
The below image represents how the transformation levers can help organizations to move from the current state to the desired state once the right set of hyperautomation technologies are integrated.
We all know where the automation industry is heading, but how do we know that we are taking the right steps to stay competitive?
Before choosing the automation path, it is highly important to understand the drivers of automation by doing a maturity analysis. Understand where you are and accelerate.
Automation is not meant to be a planned activity and is done on a need basis, mostly script-based, and can be done using freely available tools.
Automation is implemented to address a particular business problem; repetitive tasks are automated using RPA technologies for one or few business problems
Automation is planned proactive in this stage where domain experts are involved to explore the processes that can be automated to achieve productivity and efficiency.
A well-defined automation strategy is implemented at an organizational level using various platforms and tools. This sets the base to combine RPA and Cognitive automation (AI &ML).
Business functions are handled by digital workers coupled with self-learning, self-help and machine learning based decision for a true digital operations to improve the overall service experience.
Business Readiness Analysis
Business Case Discovery
Proof of Concept
Implementation
Support
Improved Productivity: Firstly, it frees up the human workforce from regular mundane tasks hence allowing them to perform tasks that require human expertise resulting in higher productivity. Secondly, digital workers perform error-free tasks enhancing the overall quality of tasks performed.
Better Control to Scale: Most companies prefer to outsource these high labored tasks to external vendors, instead if digital workers are deployed it helps to avoid those inherited risks enabling enterprises to have better visibility, control, and possession.
Cost Savings: A digital worker when compared to a human workforce can perform tasks much faster and round-the-clock at a much lower-rate, speed and scalability creates a positive impact on the bottom line resulting in a better return on investment (ROI).
Explore the F&A process areas for automation in the Finance and Accounting function
Explore the IT process areas for automation in the Information Technology function
Explore the HR process areas for automation in the Human Resource function
Explore the Ops process areas for automation in the Operational function
