It’s clear that Intelligent Automation (IA) is still very much an emerging technology, with one indication being that is has only been mentioned a handful of times on Twitter since the beginning of 2021. Results from our latest annual FinTech Barometer reveal a mixed picture in terms of awareness, with half of finance professionals having never heard the term before. Whilst this is unsurprising for a technology concept very much in the ‘early adopters’ stage, organisations can stand to gain real benefits from embracing Intelligent Automation now, particular within the finance department. With this in mind, we explore some of these benefits and share a step-by-step best practice to implementing it into business operations.
Intelligent Automation ensures a predictable order-to-cash process
Such is the speed of introduction of new technologies that it’s a challenge for businesses to keep pace. As the newest innovation in finance, Intelligent Automation is one that organisations can’t afford to let pass by. It truly takes financial process automation to the next level. In addition to helping maintain a high-quality customer service, it also complements the existing skillset of finance professionals in the industry.
While Robotic Process Automation (RPA) and Big Data are key innovations for the sector, IA can be likened to an additional layer that enhances existing technologies. By combining applications, this layer is capable of independently assessing situations and determining the appropriate process sequence. It can, for example, fully determine the risk of a specific customer, and can also predict at an early stage which invoices will be paid late, or even not at all, ensuring that finance professionals can then plan accordingly. The result is a reliable and predictable order-to-cash process.
The four steps to an IA-proof organisation
While the benefits of IA are numerous, implementing the technology can prove complex, although some are already treading the IA path without knowing it. In this instance it’s crucial to become aware and begin the purposeful process to full integration. Below are the four key steps to becoming fully IA-proof.
1. Exploring the potential: Brainstorm where automation can be applied
Step one is to examine the extent to which automation can help your organisation. Blue sky thinking is the key here. What is the ideal relationship with the customer? What does the ideal order-to-cash process look like? In this phase, involving multiple departments from within the organisation is key, from management to operations. The finance professionals who have the most contact with customers are likely to have the strongest knowledge of which processes they would like to see automated. With no limits to ideas, it’s best to explore all the opportunities in the entire order-to-cash process and describe broadly the potential value to the organisation.
2. Decipher which data and technology is needed
The second step is to map out which data and technology is required. Working with a specialist, either external or from the internal IT department, is beneficial at this stage to see where the opportunities lie. In many cases, off-the-shelf solutions are already readily available to help make the difference, so it pays to do the research and gain advice where possible.
3. Firm up the strategy
With the plan mapped out, it’s time to fit the pieces of the puzzle together. Which technology and accompanying software is proving most valuable? It’s vital at this stage to analyse the results the organisation is achieving from deploying the right technology and software. It’s also important to outline any limitations and emphasising the potential risk of failure. This is the business case and the basis for the elevator pitch that will be presented to internal stakeholders.
4. Draw up the roadmap and start benefitting from agility
The fourth and final step is prioritisation. The roadmap will describe step-by-step how to move from the undesired current situation to the desired end goal. In the first step, choosing a subproject that is relatively easy to achieve will help gain support from other departments within the business, and provide invaluable experience that can be applied to the more complex components that follow later. This agile approach facilitates a learn-by-doing mindset and allows the following steps to be tackled in a smarter and simpler way.
Effective preparation is half the battle
Exploring the potential of automation, mapping the required data and technology, establishing the strategy and laying out the roadmap are the four crucial steps to ensure the foundation for Intelligent Automation. Effective preparation and estimating which technology and accompanying software is needed will help to create a streamlined and error-free order-to-cash process. To ultimately save time and costs, empower finance professionals and maintain customer loyalty, the time for Intelligent Automation is now.
This was also published by Finance Derivative.