Intelligent Automation is boosted by the growing demand to digitize and automate business processes at a time when the Covid-19 pandemic requires rapid workplace transformation.
More organizations will want to seize this opportunity to modernize their business processes and increase their digital capabilities.
If you read this post to the end, you'll learn more about how your organization can succeed with Robotic Process Automation implementation.
5 steps to succeed with RPA deployment
It's quite clear that the pandemic pushed and will continue to promote the improvement and further development of AI and Automation, from their core-tech to their applications.
Here are five crucial, but often overlooked steps you need to take for successful RPA deployment:
Adjust your thinking about RPA
Every organization aims to enhance the productivity of employees. RPA implementation, done right, will help you increase productivity and your business ROI at the same time.
Success with Robotic Process Automation (RPA) starts with adjusting your thinking and orientation. It also revolves around how you determine your processes after you clearly:
start the automation
Evaluate the outcomes
RPA will only be a success when there is a proper evaluation before its deployment. RPA goes beyond the mere installation of software to reduce the cost of labor. The goal of RPA is to ensure smooth and seamless running of specific business processes.
Before you get your organization started with RPA, it's crucial to thoroughly think about the goals and outcomes you want to achieve, not just about the process to be automated.
For instance, Business Wire reports how Scandinavian Logistics Partners AB(Scanlog), a fast-growing logistics company specializing in international transports, embraced Robotic Process Automation (RPA) to transform its order booking process.
The RPA deployment resulted in drastically reducing the Average Handling Time (AHT) for each customer order from 4 minutes to just 20 seconds. Within two months, Scanlog achieved a 15% Return on Investment (ROI) by automating only one process.
This is another among several success stories of how RPA is a useful tool and how organizations are leveraging RPA to transform their business processes to achieve significant results.
Determine the duration of RPA deployment
RPA deployment usually takes different time to configure, test, and launch process automation into production. The overall timeline to manage and deliver RPA differs for each business depending on the complexity of the process, team size, and level of automation required.
It is essential to consider the deployment time before embarking on RPA deployment. In line with best practices, the implementation of RPA is usually less than two months to configure, test, and launch RPA tools into production, which is a reasonable time frame.
But this ideal time frame is only possible with a clear and well-defined road map from the mapping of implementation idea to deployment and execution.
Identify hybrid solutions with RPA which result in high ROI
RPA deployment will be a huge success for your organization if you do not stop at the point of identifying use cases that guarantee Robotic Process Automation high ROI.
You can move a step further to take a close look at existing services and tools to see the functionalities they provide as well as their price points. This can give birth to a hybrid solution that combines the automation of both frontend and backend activities, leading to end-to-end process automation.
RPA is used by organizations to automate a variety of business processes. But it may be challenging to get one RPA tool that offers functionality to automate all the business processes as attended and unattended bot.
Hybrid RPA tools, on the other hand, have combined capabilities of both attended and unattended automation tools.
An unattended solution is an intelligent tool that can make decisions. Attended RPA tool will give you speed, accuracy, and efficiency at work.
A good example here is Kron, which has three solutions for automation, namely: Unattended, Attended, and Hybrid.
Kron is an outstanding tool due to its uniquely useful hybrid automation solution. It facilitates the automation of business processes where different kinds of bots work in harmony to achieve a specific goal.
Choose effective RPA tools
Go for that RPA tool that is both effective and efficient for your business processes.
Market-leading RPA tools to evaluate include BluePrism, UIPath, Automation Anywhere, WorkFusion, and Pegasystems.
|Industry Verticals supported
|Insurance, Manufacturing, Healthcare, Telecoms, Transportation and logistics, Financial services, Retail, Public sector, Hospitality, Energy and utilities
|Automatic logging and audit, KYC, Anomaly detection, Clinical administration, Predictive maintenance, Customer onboarding, Customer Service
|Pre-integrated AI skills, Option for cloud, hybrid and on-premises deployments, Analytics & reporting, Built-in security and governance controls
|BPO, Finance, Insurance, Healthcare, Telecom, Manufacturing, Public Sector, Retail &CPG, BPA
|Claims Processing, Contact center, Invoice, Streamlining finance process, Error processing, Talent acquisition automation, Onboarding
|Drag and Drop tools, Centralized action center, Easy monitoring of complex workflows, Easy third party integrations
|BPO, Insurance, Financial services, Healthcare, Manufacturing, Telecom, Public Sector, Life sciences
|Front Office solutions, Streamline accounts payable processing, trend analysis, Streamline HR operations
|SMART Automation Technology, Control room for monitoring, IQBots, Task Editor, Workflow designer, Report designer, Trigger manager, Workload Management, Automation life cycle management
|Banking and Finance, Insurance, Healthcare
|Pretrained bots, Document intelligence, Advanced Analytics, Automation Orchestration, Automation Studio
|Fastest time to value by discovering processes for automation, built in intelligence, seamless scalability
|Financial Services, Insurance, Healthcare and Life Sciences, Communication Service providers, Government, Manufacturing and High-Tech, Energy and Utilities, Media and Entertainment
|Marketing and Decisioning, Customer Service, Sales, Onboarding and KYC
|Intelligent Automation, Low code Platform, Case management and BPM, Customer engagement and CRM
RADIAL uses RPA to deliver better customer service experiences
Here's an example of how Radial successfully integrates RPA into their support center to boost the efficiency of their support team at the contact center and a proof that RPA works.
Radial uses RPA to automate repetitive tasks such as logging in, switching over from one contact to another, and doing a search across platforms, which were easy points of entry for Radial.
According to Robin Gomez, Director of Radial Data & Analytics, "Radial utilized Pega Systems to focus only on what's important. The process that took Radial contact centers two and a half to three minutes previously was automated to 30 seconds and below."
Radial was in dire need of cutting-edge technology to automate data entry across dozens of applications at the point of each customer interaction.
The outstanding results of RPA automation by RADIAL include:
handle times to about
contact resolution up to
Now that the support team successfully automated their processes, there is a new drive by Radial to automate some more.
- Start with process discovery and redesign
- Use advanced analytics, identify optimal workflows and implement recommended automation
- Let the systems learn and adapt to data in real-time using AI-based tools
In 2008, a significant outage in its data center prevented Netflix from sending DVDs to its customers for three days which prompted the company to rethink its IT architecture.
Generative Artificial Intelligence (Gen AI) has taken businesses to the edge of a new frontier that promises unprecedented levels of productivity, innovation, and new revenue streams.
With data pouring in from multiple sources, in different formats and across multiple environments, traditional ETL methods for data integration can no longer cope with the growing volume, variety and velocity of data. Data virtualization (DV) can help by acting as a bridge between disparate data sources, unifying them to deliver a single source of truth for consumers.
Forrester observes that the initial rush to “lift and shift” to the cloud has now been replaced by a focus on modernization and digital transformation. Cloud migration is the first step in a long journey to take advantage of the latest cloud-native technologies and services.
Torry Harris is a 'Strong Performer' in The Q3 2022 Forrester Wave™ for API Management Solutions. This report shows how each provider measures up and helps technology architecture and delivery (TAD) professionals select the right one for their needs.
Torry Harris’ API management solution DigitMarket™ API Manager has been cited by Gartner in its report “Critical Capabilities for Full Life Cycle API Management.”