Intelligent Orchestration is expanding which processes become suitable for RPA


Undoubtedly, Intelligent Orchestration (IO) is a game-changer for RPA programs. Here are 3 reasons why: 

  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 dynamically orchestrating and allotting for planned downtime
  3. Onboard more complex, business-critical processes 

This post is going to dive deep into reason #3… but first, a brief precursor. 

Since inception RPA has been targeted at the ‘low hanging fruit’ automation opportunities. Simple processes that require basic bot programming. Ones that don’t have business dependencies. Because robots haven’t had the best track record of reliability. 

Unfortunately, that thought process has diminished the potential of RPA to be a strategic solution to BPO optimization. 

However, the rise of Intelligent Orchestration—coupled with fully automated operation—has led more and more companies to capitalize on the ability to onboard complex, business-critical processes. 

Let’s explore three specific use cases that are made possible with IO. 

Critical SLA Processes

When looking at the criteria of what is deemed to be suitable for RPA, frequency, complexity, and resource requirements all play a part, and mixed in with this is the capability to hit the SLAs of a process. 

With conventional RPA capabilities SLA's of less than 1 hour can be extremely complex to manage, implement and ensure. However, IO can open this door. 

Knowing your practice is intelligently managed, providing feedback and ensuring SLAs are met to within 5 minutes, allows your assessors to start to look at those business-critical processes more closely. 

When you start looking at critical SLA processes you start to realise big benefits in hard and soft forms—whether this be big fiscal savings or reduced staff stress and faster response times to your customers. Those processes deemed too risky through basic schedules are now available to target.

High Fall Out Rate Processes

Processes that have complex paths, high variance, or low success rates in the 'Happy Path' are usually discarded at process assessment stage and significantly reduce the potential for automation across an operational area.

With fast deployable HITL capability built in to IO platforms, you start to see more benefit in targeting these processes. Whether you are looking to have processes started by Operational Users and inputting data or passing back decisions or exceptions to the business effectively, you can now do this without additional license costs or adoption of further tools. 

What we start to see is an increase in success rates by having minor touch points with Human Users without the clunky bits. When you have this functionality to satisfy those business concerns, you will find that the opportunity within the business really starts to get recognised.

Restricted Access Processes

When the modern process assessor starts to look at further opportunity, they have a detailed history of what has already been created in the production environment. They understand resources, access and already engaged applications. This sways how much beneficial weight a new process is allocated.

Processes that require a separate user to login to a machine to run a simple process can be deemed unsuitable because of the development cost or downtime impact of resources when having to login or out of a resource at run time. Not to mention the reservations around the reliability of some RPA tools to do this well.

An Intelligent Automation Management Platform manages resources separately to the RPA platform and has increased speed, reliability, and ease of configuration on this problem. This enables a direct benefit of controlling resources in current processes and has opened up the review and assessment of those processes previously deemed risky for access reasons.


IO is designed to alleviate the production costs of an RPA practice, improve efficiencies for customers downstream, and enable scaling—so you can automate more, automate faster and automate for less.

Featured Case Study
62% increase in robotic capacity leads to higher CSAT scores
BN bank AS

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