What is the difference between the strategic approach and the operational approach to building
your RPA strategy?
Strategic approach involves only senior leaders.
Operational approach does not engage widely enough.
The strategic approach creates a clear direction, and the operational approach recognizes how RPA
works and builds incrementally from that.
The strategic approach takes too long, and the operational approach goes against corporate strategy
Which are key components of an RPA strategy?
Educating, knowledge sharing, technology decisions.
Timelines, scaling, change management.
Platform selection, getting started, business case.
Business case, change management, obtaining commitment.
Why is RPA a good starting point on the journey towards AI?
RPA enables fragmented data to be captured and made available for big data and AI.
RPA drives a "culture of digital," but the technologies do not support AI.
RPA has some opportunities to feed AI, but that is a distant evolution.
RPA will require too many additional capabilities to be able to support AI.
Why do organizations typically start their RPA journey with a proof of concept?
It is low risk.
They are trying to convince leadership to adopt RPA.
They are checking to see if the technology works.
They want to grow awareness and make RPA relevant to the organization.
Which are not risks attached to running a proof of concept?
Expecting the POC to prove a business case.
Trying to solve a real operational problem with the POC.
your RPA strategy?
Strategic approach involves only senior leaders.
Operational approach does not engage widely enough.
The strategic approach creates a clear direction, and the operational approach recognizes how RPA
works and builds incrementally from that.
The strategic approach takes too long, and the operational approach goes against corporate strategy
Which are key components of an RPA strategy?
Educating, knowledge sharing, technology decisions.
Timelines, scaling, change management.
Platform selection, getting started, business case.
Business case, change management, obtaining commitment.
Why is RPA a good starting point on the journey towards AI?
RPA enables fragmented data to be captured and made available for big data and AI.
RPA drives a "culture of digital," but the technologies do not support AI.
RPA has some opportunities to feed AI, but that is a distant evolution.
RPA will require too many additional capabilities to be able to support AI.
Why do organizations typically start their RPA journey with a proof of concept?
It is low risk.
They are trying to convince leadership to adopt RPA.
They are checking to see if the technology works.
They want to grow awareness and make RPA relevant to the organization.
Which are not risks attached to running a proof of concept?
Expecting the POC to prove a business case.
Trying to solve a real operational problem with the POC.
