RPA implementation is pretty straightforward if you have a clear and detailed roadmap. As you can see above, most RPA deployments take less than 2 months. This includes time required to configure, test and launch RPA bots into production.
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.
Select impactful yet easy to automate processes
1- To maximize impact of RPA, identify processes that will yield the greatest benefits when automated. These processes tend to be
- Impacting both cost and revenues: Most impactful processes are expensive and touch customers. For example, quote-to-cash can be expensive if pricing rules are not clear. Speed and effectiveness of quote-to-cash process can definitely make or break a sale. Such processes are good candidates for RPA if they can be automated.
- High volume: One of the key benefits of RPA is reduction of human effort. You should start automating your highest volume processes first.
- Fault tolerant: If a process can not handle any errors, then its automation should either be deprioritized or there should be a quality control process to ensure that automation errors get caught. RPA bots rely on user interface (UI) to carry out their tasks. They can have errors due to UI changes or process changes. For example, it makes sense to automate invoice-to-pay process for most companies. However, payments above a certain value would need to be approved by humans.
- Error prone: The more manual errors in a process, the more benefits your company can get by automating such a process. Manual mistakes can cause significant customer experience or regulatory problems especially in customer facing processes.
- Speed-sensitive: Any processes that can delay delivery of services to customers are good candidates for automation as automation can make processes instantaneous.
- Requiring irregular labor: Since finding temporary labor is difficult. processes with irregular labor demands force companies to employ for peak demand which is inefficient. RPA bots can easily scale up or down, easily managing peak demand.
2- Select processes that can be easily automated with RPA. Such processes tend to be
- Rules based: Ideal processes can be described by specific rules. RPA bots need to be programmed and if the rules of the process can not be programmed, then that process is not a great candidate for RPA. AI can be trained with complex rules and even uncover rules that are not apparent to human operators. However, automation of such processes requires careful observation of RPA results since there may be cases where AI incorrectly identifies rules.
- With few exceptions: This is similar to the “rules based” criteria above. However, some processes have so many undocumented rules that even if they are rules based, it is time consuming to identify all rules via interviews with domain experts. Such processes are not good candidates for automation.
- Company-specific: Is this a process that all companies undertake in the same way or is it unique to your company? For example expense auditing takes place in a similar fashion in most companies of similar sizes. Building an RPA system for expense auditing would be costlier and less effective then just using a solution built for such a process. And in case you are wondering if there’s a custom tool for a process you want to automate, ask us, we probably know about it.
- Mature: Automating a process that is changing every day is a waste of time because developers will spend a lot of time on maintenance. Stable processes are good candidates for automation.
- Not on the roadmap for new systems: Replacing legacy systems can automate processes even more effectively than RPA. RPA bots need to rely on screen scraping and may introduce errors. Additionally, installing two automation methods for a process does not make sense.
Finally, even if a process is not a good candidate for automation as a whole, it could possibly be broken into automatable sub-processes that yield large benefits when automated.
Instead of our 2 step process for identifying the right process, you can also use WorkFusion’s approach. Their approach involves a few more steps than ours. Both approaches aim to identify and prioritize processes for automation.
One major difference between 2 approaches is that we recommend designing process improvements after you get management alignment on which process to work on. Since process improvement is time-intensive, it only makes sense to do it when the whole organization is on the same page.
Convince the organization
Even in automation, it’s really about the people.
3- Get management buy-in: Though “move fast and break things” mantra is making itself heard across the enterprise, management buy-in is still a thing if you work for a large company. Knowing the process to be automated and possible benefits from automation, you can build a compelling case for company leadership. The keywords are RPA, AI and Return on Investment (ROI). The first 2 are topics that executives feel compelled to invest in these days. As for ROI, an executive should demand to know the ROI in any investment.
4- Get team buy-in: Are you automating an in-house process or an out-sourced process? If it is an outsourced process, you are essentially just bringing in savings and the team managing the outsourced process will likely be happy to manage the automated process.
However, it is a completely different situation with an in-house team. No one wants to wake up one day and discover that their job is redundant. It is necessary to have an open and honest discussion with the team about what automation will bring. Some points to cover are:
- Convince the team of the change. It is easy to say and hard to do. Unless you have strong management support, it can be impossible to convince teams about the need for automation.
- Design the new, leaner team
- Formulate post-automation steps like how redundant team members will be upskilled and which teams they can join.
5- Convince related functions:
- IT/technology is the most important stakeholder as IT should be approving major tech purchases from a technical perspective. The important questions to ask are?
- Did we buy any RPA technology before? For a list to check against, you can refer IT to our list of RPA companies. If there were previous RPA projects, then it is best to learn who the vendor was, outcome of the RPA roll-out and learn from previous experience.
- What are the major planned changes in the tech stack? For example, if the organization will work with Citrix in the next year, it is best to complete the RPA Proof of Concept (PoC) on Citrix.
- RPA Center of Excellence (CoE): Most large organizations are setting up centers of excellence for RPA. CoEs would need to be involved in RPA projects.
- Data/Analytics: Bots leave traces for every action they complete. Working with data/analytics unit to ensure that bots create valuable and easy to use data can save RPA teams from a lot of headaches down the road.
- HR: If RPA is going to play an important role in your organization, it is important to train the staff on RPA. This enables company’s own staff can be empowered to maintain existing RPA programs and roll-out new programs.
6- Improve the process
Processes evolve due to regulatory pressures and market pressures. Though they are sometimes improved with top-down lean or 6 sigma projects, these are few and expensive. Therefore, most processes have significant potential for improvement.
Just consider the use of fax machines in the US healthcare system. Numerous media including Vox report how US healthcare system relies on hospitals sharing records with faxes or hand delivered documents because digital healthcare records were not built in a compatible manner across different institutions.
So before proceeding with the RPA implementation, it is worthwhile to look for improvements in the process as process improvements can
- simplify the process
- make it more understandable therefore reducing the necessary programming and auditing effort
- improve customer experience
Implement the solution
7- Choose your partners
We have a detailed guide on how to choose your RPA provider. Since RPA is an evolving field with new solutions such as no code RPA, it is helpful to spend a bit of time to understand the latest list of things to pay attention while buying an RPA solution.
In short, you need to pick an RPA technology provider. If your company is low on manpower, you can partner with a consulting company or BPO provider to help your company automate its process. We have a comprehensive list of RPA implementation partners.
8- Develop your solution
Initially, a detailed process map needs to be prepared identifying which parts of the process will be automated. Here’s an example from WorkFusion:
Contribution of subject matter experts from your organization is critical while preparing the process map. This is especially relevant if the process is not well documented. In our experience with large companies, most processes are not well documented.
After the role of RPA bots in the process are clarified, RPA bots can be programmed. Trade-offs such as quicker deployment vs more flexibility need to be weighted carefully while developing the solution. Following well established lean software development and quality assurance processes will ensure that business and technical teams are aligned and progressing.
A recent development is the launch of RPA marketplaces which provide reusable plugins/bots to facilitate RPA development. Implementation teams would be well advised to check out their RPA platform’s marketplace for readily available code and not re-invent the wheel. Feel free to read more from our guides on RPA marketplaces and reusable RPA bots.
9- Test your solution
Importance of testing can not be over-emphasized. We explained 3 different types of RPA. For example, in attended automation, minor differences in users’ systems such as some users using MacBooks or even different screen resolutions can lead to unexpected bugs. All major scenarios need to be thoroughly tested before the pilot. Using historic data enables more realistic tests
10- Run a pilot:
- Set targets for the pilot: These could be about accuracy (e.g. share of successfully processed invoices) or automation (e.g. cases completed without human intervention).
- Run a live pilot: Each day, team in charge of the process reviews a random selection of bot output.
- Evaluate pilot results: Run a detailed evaluation considering rare cases and difficult inputs. Only finalize the pilot when previously agreed targets are met.
11- Go live:
- Design the governance of new, bot driven process with support from the current team. For example put in place mechanism for maintenance to keep the bots functioning as the process changes.
- Clarify roles and responsibilities
- Build a fallback plan: A fallback plan will be helpful if the RPA solution requires rework after roll-out. Though such a plan would not be used most of the time, it is quite beneficial to be prepared when fallback is needed.
- Go live: Communicate new process to all relevant stakeholders and go live!
- Analyze results: Record savings and analyze results to inform future RPA projects
12- Maintain the RPA installation
In line with changes in the market and regulation, you will need to change your processes. Putting in a place a capable team in charge of the installation is critical for the future success of your RPA installation.
Now that you are ready to implement RPA solutions, feel free to ask us appropriate vendors for your company’s size and industry so you can proceed effectively:
Deloitte survey of RPA experience of 400 business users