OVERVIEW

AGENDA

• Lessons learned from initial implementations of RDA
• Realizing that automation at the human worker level must include machine learning
• Understanding the current applications ML informed attended automation
• Democratizing automation at your enterprise through implementing advanced attended automation

• Does the solution provider in question have experience in your entire global region?
• Does the solution provider in question have experience with globally scaled attended automation that have garnered identifiable case studies?
• Does the solution provider in question offer an RPA product (that you use)?
• Does the solution provider offer interoperability with your current enterprise solutions?

• An organization that expects a set it and forget it solution isn’t going to be able to adapt their bots to new processes
• Implementing attended automation iteratively while scale up to increase the stickiness of adaptation
• Ensuring your chosen solution has a sustainable global scaling model and enabling it with your own internal infrastructure
• Ensuring you are empirically aware of maintenance responsibility to remain consistent with current technology and regulations

• Realizing that good change management methodologies are still needed in rolling out each component of enterprise automation
• Discovering a solution with an intuitive user interface and seamless navigation system
• Ensuring a solution enhances an employee’s productivity- ability to meet sales quotas, decrease the element of human error, and streamline boring processes, etc.
• Examining attended automation implementation outcomes and advancing the human workers responsibilities to remain ahead of the culture curve