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Automation Landscape | The A-Z of Digital Acceleration
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Today we are exploring why after decades of automation still only 20% of business activities are automated. Why is that? And how do we accelerate the adoption of automation right across the enterprise?
A quick glance over the automation landscape shows us that there are 4 categories of automation in play: RPA, inbuilt workflows, integration platforms and integrated Business Process Management Systems (iBPMS).
The challenge with automation is that application workflows, integration platforms and iBPMS all require heavy process re-engineering. So, although they are the best and the right way to automation processes, they suck up a lot of money and time to deliver, diluting the return on investment.
However, RPA is easy to use and super quick to build. So it can act as a plaster to patch up certain tasks in IT which ordinarily would need to be addressed by a complete re-engineering effort but …. RPA on its own is not the panacea either. For instance, how do you decide what to automate? How do measure outcomes? After all to gain adoption you need to show some good results fast.
And this is where our unique Rapid Task Automation service comes into play!
Delivered as a service, Rapid Task Automation uses our unique AI engine to identify candidates for automation. As organisations typically have similar business functions, over time we have built a set of pre-packaged automation bots using the market-leading RPA technology for Automation Anywhere to accelerate adoption.
On top of this, our quarterly AI analysis will not only continue to feed the automation candidates pipeline but also provide a before and after picture for all the outcomes that have been delivered so far, directly providing evidence of how automation is being used and delivering value.
Chapters:
00:57 – Key automation technologies
02:14 – The impact of process re-engineering on ROI
02:40 – The diluted value of automation
02:55 – Robotic Process Automation
03:40 – Challenges with RPA
04:05 – Rapid Task Automation coupled with AI
04:39 – Continuous identification of automation candidates using AI
#DigitalAcceleration #DataLed #AI #RPA #TaskAutomation #AutomtionAnywhere #OutcomesBased
A quick glance over the automation landscape shows us that there are 4 categories of automation in play: RPA, inbuilt workflows, integration platforms and integrated Business Process Management Systems (iBPMS).
The challenge with automation is that application workflows, integration platforms and iBPMS all require heavy process re-engineering. So, although they are the best and the right way to automation processes, they suck up a lot of money and time to deliver, diluting the return on investment.
However, RPA is easy to use and super quick to build. So it can act as a plaster to patch up certain tasks in IT which ordinarily would need to be addressed by a complete re-engineering effort but …. RPA on its own is not the panacea either. For instance, how do you decide what to automate? How do measure outcomes? After all to gain adoption you need to show some good results fast.
And this is where our unique Rapid Task Automation service comes into play!
Delivered as a service, Rapid Task Automation uses our unique AI engine to identify candidates for automation. As organisations typically have similar business functions, over time we have built a set of pre-packaged automation bots using the market-leading RPA technology for Automation Anywhere to accelerate adoption.
On top of this, our quarterly AI analysis will not only continue to feed the automation candidates pipeline but also provide a before and after picture for all the outcomes that have been delivered so far, directly providing evidence of how automation is being used and delivering value.
Chapters:
00:57 – Key automation technologies
02:14 – The impact of process re-engineering on ROI
02:40 – The diluted value of automation
02:55 – Robotic Process Automation
03:40 – Challenges with RPA
04:05 – Rapid Task Automation coupled with AI
04:39 – Continuous identification of automation candidates using AI
#DigitalAcceleration #DataLed #AI #RPA #TaskAutomation #AutomtionAnywhere #OutcomesBased
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