6 Steps to Successful RPA Implementation in 2024
RPA implementation is straightforward if you have a clear and detailed roadmap. Most RPA deployments take less than 2 months (see Figure 1). This includes time required to configure, test and launch RPA bots into production.
Figure 1. Average speed to RPA deployment
Below, you can find a detailed roadmap for RPA implementation. If you want to know more about RPA first, here is the most comprehensive article for that.
1. Identify processes that will yield the greatest benefits
To maximize the impact of RPA, identify the most impactful processes. These processes tend to be
- Highly impactful on revenues
- High volume
- Fault tolerant
- Error prone
- Speed-sensitive
- Requiring irregular labor
2. Select processes that can be easily automated with RPA
Such processes tend to be:
- Rules based
- With few exceptions
- Company-specific
- Mature
- Not on the roadmap for new systems
Explore processes identification in detail in our in-depth article about identifying processes that benefit the most from automation.
3. Convince the organization
Even in automation, it’s really about the people. Therefore, it is important to:
- Get management buy-in
- Get team buy-in
- Convince other business units
Explore in detail who and how to convince business units to invest in RPA in our in-depth article
4. Prepare for implementation
In order to prepare for implementation, the first step would be to:
- Understand the process: To understand the processes, business leaders can combine two approaches:
- Interviews with operators that currently run the process
- Deploying task mining and process mining to derive data about processes’ automatability.
- Improve the process: Processes can be improved by process improvement methodologies, and many processes within an organization have potential for improvement and simplification before implementing automation solutions.
5. Implement the solution
To implement the solution, follow the best practices:
- Choose your partners
- Choose your task mining / process mining solution
- Choose your RPA solution
- Choose the AI/ML providers to facilitate your RPA deployment
- Choose your RPA implementation partners
- Develop your solution
- Test your solution
- Run a pilot
- Go live
- Maintain the RPA installation
Explore these steps in detail in our in-depth article about the preparation and implementation of a successful RPA solution.
6. Post-implementation
To manage your RPA solution post-implementation, follow these steps:
- Measure the impact of RPA
- Manage your technology in light of RPA
- Consider launching an RPA center of excellence
- Manage RPA impact on jobs
- RPA Training
Read in detail how to measure RPA success in our comprehensive article on managing RPA post implementation
Now that you are ready to implement RPA solutions, check our data-driven list of vendors, and we can help you choose the right tool for your company’s size and industry so you can proceed effectively:
Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 60% of Fortune 500 every month.
Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE, NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and media that referenced AIMultiple.
Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised businesses on their enterprise software, automation, cloud, AI / ML and other technology related decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.
He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.
Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.
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