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- RPA Robotic Process Automation
Among other things the pandemic caused unexpected, large-scale disruption, stretched workforces beyond capacity and exposed various shortcomings in business processes. As they seek to rebuild, enterprises are looking for ways to insulate themselves from future such shocks. Robotic Process Automation that uses technology to decouple repetitive, monotonous tasks from human effort, could be the solution. Robotic Process Automation (RPA) not only increases efficiency, throughout and reliability, but also increases employee motivation and engagement.
Many organizations do not know where to start their RPA journeys. This often results in pockets of automation across the organization that aren’t aligned and thus the expected business benefits are not achieved. In some cases, enterprises do not envision and manage their automation journeys as a coherent “program”. This leads to sub-optimal resource allocations; consequently, there is limited or delayed progress to show for the investments made. Altumind helps enterprises take an enterprise-wide approach by building stakeholder awareness and buy-in around three important aspects:
- How automation intelligence can enhance agility, resilience and adaptability;
- What must leaders do to facilitate adoption of Robotic Process Automation (RPA) by the workforce so that it measurably delivers the expected business benefits; and
- How to maximize the impact of automation given the unique context of your business environment.
Services Offerings
Strategy |Roadmap |Process Assessment |Business Case Planning |ROI
The key to realizing the power of Robotic Process Automation (RPA) is to take a structured approach that is designed to build long-term organizational agility and resilience and is aligned with business strategy and operations.
Altumind’s Strategic Planning and Business Process & Analysis methodologies help create a bespoke RPA strategy and implementation roadmap for your enterprise. Our work involves:
- Defining an Robotic Process Automation (RPA) mission and vision statement (a workshop is used to gather multiple stakeholder inputs)
- Identifying potential Robotic Process Automation (RPA) use cases (through interviews and a business process landscape review)
- Creating a business case by estimating investment and operating costs as well as savings and unlocked value based on the identified use cases
- Developing appropriate governance models aligned to different stages of the journey and enterprise capability (by working with in-house business sponsors, SMEs, IT leaders and other members of the ecosystem)
CoE Strategy – Scaling Automation across the Enterprise
For most enterprises, RPA Robotic Process Automation is a new paradigm. If adequate attention is not paid to governance during the strategy formulation and implementation stages and initial period after roll-out, several undesirable outcomes are likely, such as the following:
- Sub-optimal RoI because of inadequate alignment or buy-in
- Inefficient solutions that lead to higher than necessary RPA operational costs and human effort
- Poor SLA and OLA performance for processes
- Inadequate business engagement, leading to poor change management
- Lack of executive level visibility of benefits realized and the automation pipeline (thus impeding timely resource allocation)
Altumind’s RPA Robotic Process Automation experts work closely with your stakeholders to guide and help them in defining a governance structure for programs and create an RPA Center of Excellence (COE) that can manage future RPA Robotic Process Automation programs. We can help in the following ways:
- Recommend how your RPA COE should be structured initially and how it should evolve over time in line with its scope of work
- Define, in the context of your enterprise, the best approach for executing RPA and continually improving capabilities
- Develop a cost-benefit analysis of the proposed RPA Center of Excellence COE to create a robust, objective and defensible pitch for investment approval
- Actual RPA Robotic Process Automation implementation
