FOR AUTOMATION AND RPA INITIATIVES

Why do we automate and use AI? Typical answers are that we want to make companies and work overall more data-driven, proactive and faster. And also at the same time create more value with less resources.

 

Automation, AI and cloud development will drastically change the way we work. We’ll see more and more built-in automation and AI features coming to SaaS software at a fast pace. The older software is not to be left without either: Robotic Process Automation is used to automate the manual gaps between systems and rule-based work using existing user interfaces of the business applications. The latest development and easy deployment of Machine Learning have shown that even traditionally impossible processes can be automated - at least to some extent.

Focus on targets and results, not single technologies

The technology industry is well known for creating acronyms for all the possible things, e.g. AI, IA, IPA, RPA, ML and OCR. We are also extremely enthusiastic about the new possibilities and the way those work. For automation initiatives it doesn't count though: the most important thing is how to get the most benefits with the least effort (in a long run).

The hard part is not finding a technology to solve the problem. The hard part is to find and identify a problem big enough that justifies the use of those technologies.


What Workfellow.ai does is that it spots the manual and automatable activities regardless of technology and shows the opportunities those could bring.

Keep productivity up when automation is fragmenting knowledge work

Continuous augmentation of humans with new automation will end the work how we know it today. This has been called hyperautomation too, but even RPA initiatives have an impact today.

 

The manual and automatable parts of the business processes are done by AI, and the remaining ones are done by humans. This means that humans will handle smaller and smaller processes that haven't been automatable yet.

In practice, people will work more and more on different systems and processes which will intrinsically create manual gaps, bottlenecks, transitions between systems and learning pressures. The increasing automation and thus fragmentation will also paradoxically speed up demand for more easy-to-implement automation solutions to address work obstacles.

Workfellow.ai spots the manual work gaps, bottlenecks and transitions between systems that the increasing automation is continuously creating. Automatically and all the time.

Automate automation assessments because traditional approaches don’t scale

It’s not enough anymore that we find low hanging fruits to be automated using traditional process evaluation methods. Companies are spending millions of dollars to understand their automatable processes - which are basically their manual activities and patterns. Typically, this is done by employees who identify the potential themselves or order potential assessments from specialists and outsourced consultants. 

What is the issue with these approaches?

 

  1. This approach does not scale

  2. The low and uneven quality of assessment

  3. Focus on a specific technology adopting possibility 

  4. Lack of pooling understanding on who is sharing similar manual activities

 

The typical automation analysis model is appropriate for a unit or function in a single country within a company. Large enterprises have hundreds of units and functions in different countries. The traditional model to find your automation potential will take months to years with tens to hundreds of trained employees costing millions of dollars to implement. When the assessment program ends, the knowledge is already outdated and in a reality, the evaluation process never ends. 

Companies are relying on their own subject-matter experts to them to evaluate automation potential in their own teams and units. This requires training - and hundreds to thousands of consulting companies are offering training to identify automation potential and lately most well-known training are identifying robotic process automation (RPA) potential or artificial intelligence (AI) potential and use cases. It probably does not come as a surprise that quality is the biggest issue starting from the expertise of trainers, the motivation of employees and understanding of technology capabilities, especially when those are developing at a speed where it is hard to even for an expert to keep track of the possibilities. 

 

One of the biggest issues still is to train employees around a single technology such as RPA. RPA assessments have gained a lot of attention lately. It should not be about the technology itself, but about finding manual activities, routines and patterns, which does not add value for the company. Employees dislike that and cause friction to the work. Specific technologies are just tools to solve manual work issues, but the first step is to identify manual activities.

Workfellow automates the first phases of automation assessments and steers the business, automation or RPA analysts straight to the areas with the most automation potential - regardless of the country or language. This way the assessments can be easily scaled to new organizations and countries using a standardized method. The pooling of activities also enables cross-organizational automation initiatives.

Automate vertically AND horizontally

Research shows that 50% of office work activities are manual i.e. automatable. Typically, companies are focusing on vertical automation where they try to find automatable steps, which are done aligned with process flows. This approach limits the automation potential dramatically. Often, single manual activities are too small for a proper business case. But when finding and pooling those activities across the whole company, there is a business case. We call this mass optimization of knowledge work. 

The horizontal automation also has another advantage: employee satisfaction. This automation has usually been too small for central automation teams to solve, but are really meaningful for the professionals who are suffering from those manual activities. Many times the problems are simple and easy to solve and thus bring quick results when scaled to the whole company.

Workfellow gives you a view of both horizontal and vertical manual activities. Mass optimization of knowledge work enables long-tail automation and makes it profitable. 

Use Workfellow for automation backlog and business case creation!

Workfellow.ai is a software for companies to find their manual activities automatically, both vertical and horizontal ones with a price tag.

 

Pick any RPA software - e.g. UiPath, Blue Prism, Automation Anywhere, WorkFusion, NICE, Kryon Systems – whatever you have access to. Workfellow can help you optimize the process by suggesting places with potential for the use of the specific RPA software – without integrations and automatically.

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