Organizations globally are transforming to improve customer experience, increase business success, and improve their competitiveness.

For organizations not “born digital”, becoming fast, flexible, and customer-centric can involve creating new customer experiences, re-imagining internal and external-facing processes, upgrading IT infrastructures, establishing data- and integration-driven architectures, and even changing business culture. Not surprisingly, these Digital Transformation initiatives can be complex, costly, risky, and slow.

Increasingly, customers are choosing to start their Digital Transformations with Robotic Process Automation (RPA), because it can be implemented quickly, delivers high ROI, and doesn’t require sophisticated IT skills or resources. RPA automates routine tasks that workers currently perform in the user interfaces of software applications – enabling these tasks to be performed more quickly and accurately, while freeing up workers to focus on higher value activities. And RPA is starting to be combined with Analytics and AI to automate more sophisticated workflows.

RPA projects can benefit greatly from software designed to streamline the process, support best practices, and overcome challenges.

As more RPA “bots” are developed and deployed, learnings and best practices are emerging from customers, vendors (e.g., Blue Prism, UiPath, etc.), and consultants big (Accenture, Cognizant, etc.) and small. Key themes include:

  • Establishing Organizational support: secure executive commitment, align objectives and expectations, and allocate sufficient budget
  • Building a Center of Excellence model to: help Business Units assess and prioritize opportunities, drive consistent technology approaches (platforms, scalability, security, etc.), and clearly communicate progress to leadership
  • Ensuring proposed processes are a “good fit” for automation: established processes with defined exception handling; built using well-defined technology platform; clear business benefit; and have stakeholder support
  • Maintaining business engagement and collaboration throughout the RPA bot lifecycle: intake, assessment, prioritization, pilot, deployment, rollout, and on-going maintenance

When these best practices are present, RPA bots can be developed in as little as 3-4 weeks. However, many bots take longer (up to 6 months) due to complexity, poor process definition, lack of organizational alignment on objectives, skills deficits, or weak team collaboration. In both cases, RPA projects can benefit greatly from software designed to streamline the process, support best practices, and overcome challenges.


InnoStreams for RPA Management

InnoStreams is the first Digital Initiatives management tool designed to support RPA best practices and streamline the process of identifying, assessing, prioritizing, developing, and deploying bots. Highlights include:

  • Anyone can enter a new bot idea easily by answering a few questions of your choice
  • You can select ideas to be assessed more rigorously by your expert reviewers using consistent criteria of your choice
  • Ideas are tied to value, and InnoStreams provides a clear picture of risk-adjusted value evolution through the bot lifecycle
  • Stakeholder engagement and collaboration is maintained through the process. This is especially beneficial for more complex or long-duration bot implementations
  • AI-driven insights facilitated by continuous data collection about RPA programs further drive velocity and optimize your process

Whether you have established RPA best practices through you own experience, or through consultant engagements, InnoStreams helps you find the right balance between business agility and governance by driving those practices through all your implementations. Contact us to learn more.