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The digital transformation, after a tumultuous period of adolescence that began in 2016, has entered its youthful phase, bringing along an increased interest in digitization. Currently, organizations implementing the automation of business processes are increasingly asking: 'what's next?'

Joining the automation boom, companies looked for technologies like RPA (Robotic Process Automation) primarily to deliver quick savings without major interference in existing infrastructure. The focus on short-term gains is reflected, for instance, in statistics (Microsoft and KPMG report) indicating that nearly 79% of companies lack any formal documents outlining a digital transformation strategy. Faced with several macroeconomic factors currently impacting markets, the pursuit of rapid savings is a fairly natural move. However, this approach translates into growing challenges related to optimizing technological potential.

CIO.com (Supantha Banerjee, 2023; Isaac Sacolick, 2023) identifies a lack of vision and flexibility in implementing changes as major barriers on the path of digital transformation. Another commonly committed sin is inadequate or insufficient monitoring and management of data, including those related to the already introduced automations. Neglecting these elements significantly hampers navigating the organizational transformation process and agilely responding to the icebergs emerging on the horizon. Forecasts suggest that only 5% of companies intend to create such a strategy in the coming year.

According to the 'F5 Digital Enterprise Maturity Index' study, this year, 65% of companies declared initiating activities related to the development of digital transformation. Interestingly, an exactly identical percentage assigns it a high priority. These organizations, learning from the mistakes of their predecessors, should pay particular attention to preparing an appropriate strategy to avoid the visible stagnation already evident in the market. In Poland, 7 out of 10 firms that started transformation in previous years do not plan to increase their investment levels, and a staggering 9 out of 10 will hold back on recruiting for teams responsible for digitization and automation of business processes.

At this stage, posing the question 'what's next' is prudent as it leads to devising a strategy for further actions. One of its key elements should involve prioritizing projects based on a holistic analysis of processes within the organization. Such an approach requires a focus not only on cost savings but also on ensuring a smooth flow of information and unlocking further automation potential. Simultaneously, following the principle of continuous improvement, it's crucial to monitor the functioning and profitability of already implemented solutions and how our digital ecosystem is evolving. According to F5 study, only 4% of organizations operate at the highest level of maturity, providing suitable conditions for the progress of digital transformation.

The range of available tools to automate our processes is very broad, and their selection should depend on business needs as well as the technological ecosystem. Many times, organizations opt to utilize multiple technologies simultaneously. This raises the question: how can we efficiently manage the proliferation of tools, projects, and the accumulating data surrounding them?

The answer in this case is the Robotic Management Center (RMC) – a platform that is part of the Archee technology, enabling the management and monitoring of all automations, regardless of the tool used to create them.

Easy browser access will provide us with insight into the current state of our digital transformation. Customizable graphs will allow us to shape the welcome panel in such a way that all crucial information for us is fully transparent and readily available. This will be our single source of truth, gathering information about the entire automation portfolio, project documentation, robot specifications, logs, variables used during operations, and much more.

There, we'll find a comprehensive range of technical data enabling the smooth operation of our virtual workforce, alongside the business data. With advanced functionalities related to calculating the profitability of our automations based on real-time data, we'll transparently monitor the profitability of individual solutions. Additionally, we'll track how the robots tangibly contribute to the functioning of business processes, broken down by specific teams and months. The information provided includes the number of iterations, their duration, and even a breakdown into fixed and repetitive parts of the process.

Managing the lifecycle of robots, controlling and scheduling activities, monitoring resource consumption, and version control are among the many functionalities that make RMC a tool for ensuring full control over our digital realm.

All within structured frameworks ensuring full control over access and auditability. Not a single piece of information related to the functioning of our automations will escape our attention.

We are currently on the cusp of another technological revolution, brought about by generative artificial intelligence. Gartner, a research firm specializing in strategic technology utilization, predicts that by 2026, over 80% of businesses will be leveraging it in production environments. If these predictions come true, it's certain that leaders in the technological race will be organizations prepared not only in terms of infrastructure but also... you guessed it - a strategy enabling the maximization of this new technology's potential. Therefore, it's worth taking care of elements that enable efficient and informed decision-making, possibly crucial for our future business, right now.