Robotic Process Automation (RPA)
To digital transformation


Robotic Process Automation (RPA)

Your challenges

Eliminate intellectually less challenging and repetitive tasks

Free up people’s time for value-adding work

Reduce errors, lower costs, improve compliance

Our holistic, process-first and people-driven approach to RPA focuses on automating routine processes, lower costs and freeing up time for your employees to focus on value-added tasks.

RPA by TriFinance

A holistic, process-first and people-driven approach. Many business processes are error-prone, often resulting in high costs for limited value creation. Employees spend 80 percent of their time on intellectually less challenging, operational, repetitive activities and only 20 percent on value-adding, challenging tasks.

Customers expect 24/7, fast and personalized service and support, a demand that is hard to meet for many companies because of their current (process) organization.

Robotic Process Automation (RPA) can remedy that, especially when combined with a holistic, process-first and people-driven approach. By focusing on continuous improvement In our RPA implementations, we work towards overall operational excellence.

Our approach aims to achieve a continuous improvement cycle in which robots help to develop people, improve organizational performance, improve quality and reduce the cost of non-value adding processes.


The next step in process automation

Translating operations and budget into cash forecast is necessary to meet all obligations to suppliers, financial institutions, etc. To achieve this, we centralize information from different systems and elaborate that single version of the truth in long, mid and short term scenarios.

RPA is the next step in process automation that started with manual, ‘pencil & paper’ driven processes and evolved to working with productivity tools, data, ERP systems, and workflows.

At the same time, it is considered to be a step on the road to full-fledged machine learning and AI, where self-learning algorithms will be able to adapt to ever-changing situations without human intervention. RPA is progressively becoming a gateway to automation without full commitment to AI.

RPA refers to both ‘attended’ software bots which run on the desktop and assist people with repetitive tasks, and ‘unattended’ bots that operate stand-alone, automatically executing tasks in the background. In this context RPA is also sometimes referred to as “digital labor” or “digital workforce”.


People-driven RPA

TriFinance uses RPA to leverage its furthering people proposition and help customers to improve their organisational performance.

RPA will free your people from boring and repetitive actions. They will get more satisfaction from their jobs, being able to work on more challenging, strategic and value-adding activities.

Developing their skills to achieve their goals, ambitions and aspirations, will increase their job satisfaction, and strengthen their engagement.Happier and more satisfied and engaged employees pay more attention to client needs and customer experience. 


Implementing RPA

Think big. Start small. We help organizations with the design, setup and implementation of virtual employees selecting the best-fitting RPA tool for your needs.

Software robots are virtual employees that process large amounts of data in a very short period of time. We notice, however, that organizations spend too little time on defining the desired role of this new ‘virtual workforce’. Essentially, robots are your people’s co-workers, having distinctive behavioral and development characteristics.

Our advice: think big but start small. It is wise to start with one or more robots to work on a relatively simple role. In this way, the organization can get used to its virtual colleagues and optimizations can be implemented.

To start an RPA implementation, a few conditions should be met: the strategic goal should be sharp and clear and your data quality and data management should be at an acceptable level. The same applies to the organization of the process that will be automated, your organization’s capacity for change and its ICT capabilities. 


A 6-step approach

When implementing RPA in an organization, TriFinance always focuses on the end-to-end process, determining the processes that are up for automation. We analyze and optimize processes, increasing their transparency.

After installing a governance framework, we help you build the business case. , We deliver a proof of concept, then test and implement the robot, doing a quality check of the results. We take the lessons learned back into a feedback loop, putting you on a path towards continuous improvement and operational excellence.

Our approach consists of 6 steps:

  1. SELECT: In a co-creation mode, we determine which processes are fit for RPA, focusing primarily on mature, high-volume, stable processes that are repetitive and rule-based. We select the process that’s most suited to start with. This is done on a strategic level within your organisation. 
  2. BUSINESS CASE: We create the business case for the selected process. The business case is built around quality improvements and value for employees and customers.
  3. PROOF of CONCEPT (PoC): We build a Proof of Concept (PoC) for the selected process. Whereas process selection is done top-down, we configure your software robots bottom-up, in collaboration with your employees.The support and buy-in of the operational level within your organization is a key factor for a successful RPA-project. RPA-projects can only be successful with the full and unconditional support from your employees.

    Starting with one process, we gradually select new processes or add new functionality to already automated processes 
  4. TEST: We test the robot in the selected process.
  5. GO-LIVE: the robot is implemented.We provide pragmatic support that will enable you to run the process yourself. We can implement competency frameworks, focusing on training people, passing on expert knowledge.
  6. FEEDBACK LOOP. We aim to achieve measurable results within 3 months after the go-live. In this period we monitor the developments. We use the lessons learned to broaden the scope of the selected process or to select a different process and reiterate the process above.

RPA Development

Many RPA tools claim no coding is needed to build intelligent bots. Replacing mundane tasks by bots should be easy and requires not a lot of technical skills. Who would not like to save lots of time with minor efforts?

However, many organizations have complex environments with a mixture of tools and systems. Good insights into the overall architecture of systems and data sources will ensure that bots become reliable, efficient and manageable.

Our approach in bringing RPA, programming, data quality, application development and the use of APIs together delivers automation that is capable of handling the complexity of any environment while ensuring a high degree of manageability.

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