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Top 5 UiPath Case Studies in Different Industries in 2024

UiPath tops the ranking on most review aggregator platforms as a robotic process automation (RPA) vendor. And while UiPath’s pricing might be a little high, or some of its features may lack behind competitors like IBM, it’s a very popular choice with business users.

There are 100+ use cases for RPA, across the back office and the front office. But, half the time, not all vendors offer you what you specifically need. And if you are contemplating choosing the UiPath platform for your digital transformation, its software should have precedence automating similar repetitive tasks of another company.

In this article, we are listing five UiPath case studies in a digestible and easy-to-read manner across different industries, so you don’t have to open lots of windows and scroll a ton to get your data driven insights that you need to make a decision.

1. Automating traffic fines processes

Image source: Expat Guide Turkey


RPA is increasingly being used in government. That’s because software robots:

  • Increase the speed of service delivery
  • Increase cost savings
  • Reduce data processing errors
  • Reduce humans working hours

What was the challenge?

The Lithuanian police force1 found itself investigating ~1.6 million traffic violations manually, by 2022. And the manual process of issuing a fine involved:

  • Gathering procedural documents
  • Printing them
  • Putting them in enveloped
  • Writing down recipient’s address and giving it to the courier, who would give it to the postal service staff

How was it automated?

  • The administrative offense is started by collecting all the available data related to the infringement.
  • If the infringer is an EU citizen, the documents are sent to the Lithuanian Post’s API. If the infringer is a Lithuanian citizen, the documents are sent to the responsible official, who confirms it, and forwards it to the infringer’s email address.
  • Once additional documents from the infringers are uploaded on the web portal, RPA automatically extracts them and attaches them to their open case.
  • When all the documents are uploaded, they are evaluated by the RPA bot. And if there’s an exception, then the case is sent to an office.

How was it beneficial?

  • Filling in the data on the forms, appending the supplementary documents, and evaluating everything took 10 minutes for a person. The software robots do it in 2 minutes.
  • In 2022, RPA bots filed +50,000 reports. The officers who were only involved in “exceptional” cases had to only file less than 5,000 reports. That’s five-fold more efficiency for the bots.
  • As a result of reduced workload, the officers had more time to devote to the exceptional cases that needed human judgment.

2. Automating back-office processes at an energy company

Image Source: Albert Energy


SOCAR Turkey2 is the largest investor and market player in the Turkish energy sector from Azerbaijan. They have 5,000 employees, with operations valuing at $19.5B, producing petrochemical, running refineries, and distributing natural gas in Turkey.

What was the challenge?

  • Across the company each large process had hundreds of repetitive, rule-based, error-prone, time-consuming, and complex subprocesses to complete.
  • For example, in the export department, for each item that was leaving for Turkey, one employee had to create a work order, one controlled the XML files, and one registered all data on the SAP whenever a product had to be shipped.
  • The manual work took 500 hours annually, or one day per week. And if done belatedly, ships couldn’t leave Baku for Turkey, which cost the organization and the countries money.
  • In the compliance department, they needed to run compliance checks on 25-30 vendors on a daily basis, and to keep doing it to ensure consistency.
  • In the finance department, SOCAR’s finance team has to process ~600 invoices everyday. The mundane nature of the task made it error-prone.

How was it automated?

  • The robotic process automation (RPA) bots were scheduled to check the internal data every 15 minutes to see if an export good required these steps. If it did, it’d follow a series of rule-based tasks to release it as soon as possible.
  • In the compliance department, RPA kept comparing the entries with those taken from the previous time to ensure nothing has changed.
  • In the finance department, the UiPath automation platform now manages 90% of all incoming invoices by automatically extracting their info, categorizing them, reconciling them, paying them, etc.

How was it beneficial?

  • For the export department, creating the work orders, controlling XML files, and transferring data to SAP is now fully automated.
  • By automating the compliance checks, the daily checks on new/existing vendors are now delegated to RPA bots.
  • Thanks to RPA automating invoice processing, 1,600 hours of annual staff time was freed up. The robots also reduced the error rates in processing the invoices and flagging those with underwritten/overwritten amounts that do not match the internal records.
  • SOCAR is now moving towards being more of a fully automated enterprise. They have so far automated 58 processes with only 5 software robots. They have also created their in-house RPA Center of Excellence consisting of 5 employees who keep maintaining their RPA applications in addition to receiving suggestions from SOCAR’s employees of more processes to automate with business rules.

Learn more about automation in the oil and gas sector.

3. Automating processes of a healthcare provider

Image Source: Tech Crunch


InHealth3 is a British healthcare provider with more than 800 locations across the UK offering various medical procedures. They pride themselves on providing excellent customer experience. And with the extent of manual work that was required of the staff, they saw automation and digital transformation as an effective solution.

What was the challenge?

  • During the peak of the pandemic, InHealth was seeing 60 new employees each month added to its workforce. The employee onboarding process for each required tedious back-office tasks such as data capturing, form filling, transferring data across different systems, etc.
  • Billing, VAT calculation, payroll management, processing payments, and other finance-related and HR processes were other tasks that could benefit from automation. They were taking the focus of staff away from customer-facing operations.

How was it automated?

  • InHealth partnered with RPA consultants and RPA implementation partners to integrate the RPA technology into their operations.
  • In the onboarding process, the UiPath RPA bot did almost everything that a human worker did before. These usually involve resume screening, extracting data, sending them orientation material, granting them server access, etc.
  • Their implementation partner also automated four processes within their HR and finance systems.

How was it beneficial?

  • In onboarding operations, InHealth saw that the UiPath platform had cut down each applicant’s processing time by three hours. The solution also lowered the manual mistakes often associated with time consuming tasks.
  • In finance and HR, four processes were fully automated. Across onboarding, finance, and HR, 17 processes were automated, saving 21,000 hours of annual work in 2021.
  • UiPath was expected to save InHealth employees from 42,000 hours of annual work by December 2022.

Learn more about PRA use cases in healthcare.

4. Automating the custodial tasks in the Netherlands

Image Source: Pix4Free


DJI4 is a Dutch custodial agency tasked with managing prison administration, forensic care, and individual affairs, including prisoner transport, and psychiatry and psychological help.

What was the challenge?

  • DJI had to work with Shared Service Centers for ICT and Share Service Centers for Finance, Procurement, and Human Resources and Facility Services.
  • This meant that DJI’s employees had high workloads and were asked to navigate with many legacy applications
  • DJI also processes 37,000 requests for new detainees annually across its 50 locations in the Netherlands. So they needed expertise to deal with the governmental demand.

How was it automated?

  • DJI started with two PoCs before taking the end to end platform live. Thanks to UiPath no code RPA, they were able to develop a platform that addressed their “customers” needs – the Dutch people.
  • DJI also studied to measure the receptiveness of its employees towards digital transformation. This helped them phase their automation initiatives in batches to optimize the efficiency of each automated process before getting to the next one.

How was it beneficial?

  • UiPath RPA automated many back-office processes that DJI offered the citizens. For instance, when someone applies for a job, DJI runs a background check on them to ensure they haven’t had a criminal record. Prior to automation, DJI had to rely on human staff to process these requests, which took 3 days. Software bots do it in under an hour.
  • When the COVID pandemic hit, the inmates no longer could have visitors. Instead, they were given “credits” on the mobiles to Facetime their families. RPA software bots automatically added phone credits to 15,000 inmates’ phones, thus enabling DJI to finish the process in three days rather than three weeks.
  • In total, DJI used 100 robots on its systems across 4 years. Robotic process automation (RPA) software saved 50,000 hours annually – equivalent to reallocating 35 full time employees to more productive operations. It also increased the productivity of the employees because they could now focus more on the more value-driven tasks important to the Dutch citizens. 

5. Automating financial processes at a bank

Image Source: NerdWallet


Ikano5 is a Swedish bank opened, owned, and operated by the same family that built Ikea. It has over 2 million clients and 1,100 employees in Scandinavia, UK, Poland, Germany, and Austria.

What was the challenge?

  • Ikano’s employees had to deal with large amounts of paperwork and manual, time-consuming processes.
  • For instance, updating 30,000 records of clients with their new names, address, and information would take 2-3 minutes each, amounting to hundred hours of work, and needing 10 new full-time employees.
  • When COVID hit, loan payment deferrals increased. A challenge was how the business could deal with receiving all the reports, assessing each case by case, and reaching a solution.
  • Or IKEA customers can finance their purchases with Ikano. The long waiting time before the customers could get in touch with customer service reps to assess suitability was putting new customers off.

How was it automated?

  • Ikano used the UiPath platform in customer services, for the back-office data extraction process, credit check process, and other CRM operations.

How was it beneficial?

  • RPA software robots got through the backlog of 30,000 customer records in weeks as opposed to months.
  • Deferral requests were assessed in under a minute thanks to the UiPath automation platform.
  • They used API to connect their banking dashboard with IKEA’s website. Each time a customer added something to the cart and applied for financing, the data was automatically relayed to the bank and credit was extended/not extended. They then cross referenced their profile and reached a resolution in less than a minute. The benefit was adding 50,000 new clients to their customer base.
  • In total, in 2021, Ikano automated 100 different workflows with the UiPath platform in 8 countries. The end-to-end platform saved the company 33,500 hours in 2020 (which was 300% more than their expectation), and 100,000 hours in 2021.

Learn more about PRA in banking

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Access Cem's 2 decades of B2B tech experience as a tech consultant, enterprise leader, startup entrepreneur & industry analyst. Leverage insights informing top Fortune 500 every month.
Cem Dilmegani
Principal Analyst
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Cem Dilmegani
Principal Analyst

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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