How the CFO’s Office can benefit using Intelligent Automation

 

The role of the CFO has evolved from being just responsible for the Financial Function to being a strategic advisor to the business. However, in today’s environment, it is observed that over 50% of the energy of a CFO is driven towards accurate accounting versus being a leader. Here is where technology using Intelligent Automation steps in. Technology can drive efficiency, help give a CFO an overall view of the whole organization, enabling him/ her to be a more strategic partner.
RPA in Finance Automation

The number one task that includes much manual effort today is the financial closure process. Immediate benefits are the Digital Workers liberating employees to do end of the month high-pressure activities like these.

Retention of talent: A challenge today is retaining talent that drives the organization ahead. Having technology take away the mundane tasks for a financial employee can help grow the employee and hence drive employee retention.

There’s a considerable amount of time employees spend on inter-company reconciliations, which can quickly be done by technology. It also reduces the dissatisfaction from timelines that are not meant or overtime hours put in by employees, causing frustration and lack of job satisfaction.

The office of the CFO can focus more on collaboration, communication, and driving initiatives forward to impacting productivity.
ROI of 100% or more within a year.

What is Intelligent Automation and how does it hope to help here?

Quote to Cash, RPA, Bank Reconcilitations Automation

Application of technology in a company where employees configure a software robot to capture and interpret existing applications to process a transaction, generate responses and communicate with other systems.

Creation of a virtual workforce- a backend processing center but with no human resources. So RPA is taking the Robot out of the human.

Some examples of the application of RPA around the Finance function:

Quote to Cash:

Intelligent Automation can be used to help organizations with improving cash flows. Automation can be deployed to send invoices on time. This simultaneously leads to earlier payments and improved cash flow.

Invoice Management:

When the Invoices are received, automated responses can go out acknowledging that they have been received and are in process. Alternatively, if there is something missing and needs process the invoice.

Bank Statement Reconciliations:

 

Traditionally reconciliations have been done using spreadsheets, manually extracting records from Bank statements and tallying these. This can easily be automated. Digital Workers can do this process effortlessly and error-free.

Automation of Ledger- P & L:

There are several organizations (especially those in trading) that track their P & L and risk daily, relying on traditional tools to get this done. Intelligent Automation can get these tasks done with machine speed – saving employees to work towards analytics than mere reporting.

Expense Management:

For employees spread across locations, an expense management system can work wonderfully well. An OCR capable Intelligent Automation solution can draw important fields from the receipts automatically, freeing up employees to focus on their important tasks.

Refunds Management:

A large reason for customer dissatisfaction is when refunds are delayed. Rule-based automation can take care of these cases in record time and improve the company’s image.

Insurance Processing Claims: –

An insurance company’s image is heavily dependent on the manner in which claims usually get processed. Manual Claims processing poses various issues and customer dissatisfaction through inconsistent handling. A Digital worker can deal with all these issues. Defined by rules, having the capability to deal with various data formats, ensuring compliance.

Financial Services are at Different Levels of Maturity for the adoption of Intelligent Automation

Robots in finance

Most organizations initiate into RPA for streamlining internal functions, to begin with. This is because there is a lower risk involved. It also helps them to achieve efficiency and accuracy.

At higher levels, Integration with Virtual Assistants to their Call Centers that are Customer Facing starts to get some attention.

Banks and Financial organizations are among the early adopters of Robotic Process Automation.

 

Early Challenges of Intelligent Automation with Financial Institutions| How to prepare for the transformation

Automation Challenges

The early challenges have less to do with technology and more to do with upscaling the business resources to be able to model and develop the automated process solutions with limited support from IT. Challenges with the reallocation of resources, Challenges with auditing the bots, monitoring them for quality assurance. Financial institutions end up looking for consulting partners to build plans to teach their internal teams to stand on their own two feet.

If an organization could work on really understanding the RPA process, enabling their IT and Finance teams to work together to reduce the risks and engage in faster execution of RPA and delivery.

The Digital Workforce is part of a toolkit that should be connected with human intelligence to really understand where the bot can be used to add more value. Employees have to be trained to view bots as their co-workers and not competitors.

Involving IT as early as in the whole execution process. Use the technological experience early on instead of getting stuck up and then seeking help. Make sure the rules are defined early-on. Set up metrics to measure results and know-how do we know we are achieving the desired outcomes.

The path to success means to be able to recognize what are we doing today, what are the challenges, look at what are the gaps are, identify the risk exposure while deploying IA and then we have to look at the Ideal state we are trying to get to. Imbibe culture of supporting the success of this process right through.

Long Term Potential of RPA in Finance?

How do you connect RPA to more leading-edge AI capabilities, such as neural networks to achieve greater opportunities to enhance customer experience?

More time to do analytics rather than just reporting: – This frees up employees to do the real analytics and move beyond reporting. This lets them truly build their business.