RPA Governance model
Enterprise Automation Strategy
Embracing robotic process automation (RPA) is imperative for forward-looking organizations. But even though RPA tools significantly reduce manual work and your operating costs, any enterprise-wide innovation requires a comprehensive approach. This is the role of corporate RPA governance. Meanwhile, the larger organization is, and the more strategic automation is for it, the more important the governance becomes.
That’s why it’s critical to have a proper RPA implementation strategy with a robotic process automation governance model in place. Today, it’s the only way to set up adequate management, guidance, and control over all RPA activities and expected outcomes.
What is RPA Governance Model?
- It’s an RPA governance framework for ongoing enterprise robotization management throughout all the operating processes. A formal automation governance framework empowers you to establish applicable structures, policies, and roles, unlocking the limitless potential of your RPA initiatives.
- With this framework at the core of your robotic process automation strategy, you can set the clearly outlined rules and procedures for the six most essential areas of governance and migration planning:
Financial Management
Financial protocols and processes for controlling and predicting costs.
Discovery and Approvals
Identifying, suggesting, investigating, approving, and prioritizing bots.
Development
Methodology for deploying bots on time and within budget while delivering the expected business results.
Architecture Standards
Setting standards and best practices for systems, tools, components, and configuration.
Security and Compliance
Defining security and compliance standards and protocols.
Support & Administration
Identifying and defining support roles needed to administer a system.
Why You Need to Govern Your Bots
The robotization of business can’t be left to function independently — intelligent automation strategy is the key to operational efficiency. And governance is its fundamental component. Unsupervised robots can be inefficient, costly, and unsecure — a burden instead of a solution. RPA governance best practices are vital for avoiding such problems by gaining insights about your enterprise automation processes modeling, improvements, and results.
Mature RPA governance model guarantees:
Improved planning
Financial oversight
Effective risk management
World-class standards & practices
Reduced maintenance
Tighter integration
Outperform Your Competitors with an RPA Center of Excellence
Today, industry leaders take a holistic approach to robotics deployment, using external automation centers of excellence (CoE). It’s the organizational hubs that provide the required structure, governance, and engineering proficiency to achieve business goals. Once the goals are determined, centers of excellence will establish KPIs and measurements that will track progress, achieving the desired savings and business benefits. RPA CoE will significantly reduce operational risks for your enterprise and eliminate inefficiencies associated with a lack of knowledge or control.
RPA center of excellence is one of the most structured ways to implement and manage organization-wide centralized automation. Depending on the selected RPA governance model, a CoE might cover:
TEAM's Center of Excellence for RPA Governance
How an RPA Governance Framework Propels Your Business Forward
Business leaders report that automation adoption starts paying back in less than 12 months. Robots provide around 20 percent of full-time equivalent capacity. Yet only three percent of companies have scaled their RPA.
The answer to “why?” lies in the absence of a well-designed robotic process automation governance model. RPA governance helps avoid bureaucratic hurdles by making your automation tools more agile, responsive, organized, error- and risk-free.
With an RPA governance framework, you get:
Total Cost of Ownership
- Work hours saved
- Cost per transaction lowered
- Lifecycle management under control
- Scalability and business continuity ensured
Compliance with Industry Standards
- Security policies
- Development requirements
- Service-level agreements
- Knowledge transfer
Business Impact
- Productivity boosted
- Quality increased
- Budget saved
- Risks reduced