When RPA was first introduced over 10 years ago, it was aimed at the ‘Long Tail of Change’ and marketed as a fast-deployable, non-IT required solution to automating those low benefit processes that IT really couldn’t get around to doing.

In fact, some organizations viewed RPA as a stop-gap solution until IT could build the ‘real’ solution.

As a result, many organizations viewed RPA as a tactical approach. They didn’t see it as a game-changing solution that could ultimately transform their business for the better.

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Changing perceptions from tactical to strategic

In the past 3 years, we’ve seen a dramatic shift in the deployment and adoption of RPA platforms—from that of a tactical capability and to a Strategic function that the business comes to rely on.

IT is playing a bigger part in the growth of RPA practices and adoption of its capability, putting it under the spotlight for dependability and conformity to general IT practices.

So, how can RPA owners ensure reliability? It starts with identifying the root of reliability issues—how processes are scheduled and orchestrated. Because—let’s face it—standard scheduling and static orchestration approaches don’t meet the requirement of the business.

With a move to strategic thinking behind the RPA capability, follows closely, the need for a strategic orchestration platform that can keep things running reliably, 24/7 and providing outputs that can be used to drive program innovation and build future business cases.

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Breaking RPA boundaries with Intelligent Orchestration

Here are the capabilities needed for intelligent orchestration:

·      real time triggering of processes

·      auto distribution or work

·      auto management of workloads

·      prioritization factors

·      SLA links

·      VM control procedures

·      real time data feeds that allow an RPA practice to effectively deliver automations and ensure the outcome that a business has now come to expect.

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But when you look at standard scheduling and orchestration tools that are included with RPA licensing, they fall considerably short. As a result, a new solution is emerging—Intelligent Automation Management Platforms.

IA Management Platforms are stepping in (and up) to bridge the gap COEs currently face with standard RPA solutions. Companies like RPA Supervisor are emerging to to enhance RPA programs with Intelligent Orchestration (IO) solutions.

IO is unlocking program scalability with:

·      increased process opportunity

·      faster development cycles

·      unprecedented response times to the business

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Ready to unleash scalability?

It’s time to change the way RPA is run—and that starts with how RPA owners think about and apply RPA to their business.

I’ll leave you with three ways IO unlocks program potential:

1.     Prioritize and orchestrate all work on business defined SLAs so you never miss deadlines and build trust across the organization

2.    Increase the capacity of bots by strategically orchestrating and allotting for planned downtime

3.    Onboard more complex, business-critical processes

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After bots are running on an Intelligent Orchestration platform, the next question becomes, what other capabilities are really needed to help support a strategic RPA practice? Process Mining, Cognitive Workers, Auto Generated Automations, or something completely different?

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