Robotic process automation (RPA) technology is transformative – it makes it easy to automate repetitive, tedious tasks.
But while RPA has been around for a few
years, many organisations manage to make it beyond the pilot stage. So
why is it that when the pilot programme ends, RPA projects so often
crash into the ground?
We need to adopt new technology and
thinking in order to take RPA from single pilot programmes to strategic
adoption – and it’s called Service Orchestration.
Here are the three main reasons why so many RPA project fail to progress beyond the pilot stage:
1. Automation teams lack direction
The majority of RPA projects begin with an
evaluation and diagnostic phase, where analysts and consultants will
identify candidates for automation. This process usually takes several
weeks.
Once a task candidate is identified, the
automation can begin. It takes around six weeks until the automation
delivers, and a further six weeks until the results are in. By this
point, the automation team have usually moved on to focus on another
diagnostic phase, but even then they struggle to establish whether they
have found the best candidate for automation.
During each diagnostic phase, consultants
check every possible task before moving on to the next island of value.
How much more efficient would it be if you had a map that allowed you to
see all the islands of value, and pointed you in the right direction
from one to the next?
2. RPA is not a one-size-fits-all solution
Correctly programmed, RPA platforms make
excellent task bots: they are exceptional at doing the same things over
and over again. What they haven’t been designed to do, however, is
manage an end-to-end service, this is what customers actually want to
buy.
End-to-end services involve different kinds
of bot, service delivery teams and customers. Engineers often make the
mistake of trying to use RPA tools to manage workflow, scheduling and
measurement across customers and employees – jobs that they simply
aren’t suited for.
3. People are people, not robots
The majority of RPA diagnostics require
staff to volunteer details about what they do to aid the automation.
Although many people engage in the process as a one off, they may not
want to do so on an on-going basis. We often see this problem in
offshore teams in particular, where we have tried to turn employees into
robots, and so the threat is felt more keenly.
So what’s the solution?
Service Orchestration (SO) technology fills
the gaps left by RPA. With SO, you can create, manage and map out your
entire automation journey. Deploying SO enables you to rapidly gain
visibility and control of all the processes and tasks involved in
service delivery.
It could take weeks to automate a single
task or mini process with RPA, but SO can be deployed across tens of
services at the same time. Once installed, SO platforms can deliver
accurate data, highlight the best candidates for automation and
establish the best business case for each.
SO platforms are also designed to manage
activity between people and bots, to deliver a seamless, end-to-end
service. Complete, end-to-end processes are executed though the
orchestration platform by distributing tasks to people and instructing
bots where required.
In short – service orchestration platforms
control who (or what) is doing which task, where, when and why, in order
to meet a customer’s requirements.
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