How does intelligent automation revolutionise financial services? (2024)

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How does intelligent automation revolutionise financial services? (1)

In this article we are going to talk about what Intelligent Automation is, its uses within financial services as well as the benefits of using it.

What is Intelligent Automation?

Intelligent Automation (IA), is the use of three automation technologies:

  • Artificial Intelligence (AI)
  • Business Process Management (BPM)
  • Robotic Process Automation (RPA)

Intelligent Automation is used in order to streamline across organizations and simplify processes, free up resources and improve operational efficiencies.

Intelligent Automation initiatives are applicable to different types of industries and to companies of various sizes, companies in the financial services are one of the ones that perceive the greatest benefits as a result of their implementation.

-This article may be of your interest: Amplifying the Value of Automation with IPaaS

Uses of Intelligent Automation within financial services

How does Intelligent Automation help in financial services? The uses of Intelligent Automation in financial services are multiple, but we will tell you some of the most relevant ones:

  • Identifying money laundering. Fraud detection is one of the main uses of Intelligent Automation among financial companies, as it not only speeds up processes, but also the efficiency in detecting money laundering cases. It collects customer and counterparty data information from various sources and alerts on potential AML transactions.
  • Real-time transaction analysis and risk monitoring. Intelligent Automation in financial services allows for faster data analysis, accurate forecasting and the identification of potential problems before they arise.
  • Automating processes and Scanning and processing documents. Intelligent automation enables the automation of a large number of manual tasks, such as the creation of customer accounts, which consume many hours of work. Its application in financial reporting enables data verification and improved reporting by extracting key data and information and reviewing legal documents. With Intelligent Automation, financial services companies can transform manual and data-intensive operations while still meeting the demands of ever-changing regulatory requirements.
  • Finding best-fit financial products for customers and optimizing sales and customer services. In this area we can mention several use cases, for example the use of chatbots in financial services, which reduces waiting time and offers a self-help solution to customers, improving the customer experience. Over 90% of financial service companies have obtained positive ROI from Intelligent Automation. It also help customer service agents perform their roles better by automating application logins or commissioning tasks so that customers are served better and faster.

Benefits of Intelligent Automation in Financial Services

Now let’s focus on the benefits of using Intelligent Automation in the Financial services:

  • Lower costs/Decreasing costs: Automate manual and data-intensive processes to increase productivity and decrease manual labor expenses.
  • Consolidate compliance: Directly access customer data to improve customer knowledge (KYC) and anti-money laundering (AML) process analysis, automate monitoring of ongoing transactions, and track regulatory changes.
  • Optimize operations and reduce risks: Simplify and automate manual processes, eliminate processing errors, and reduce operational risks.
  • Accelerate return on investment: Deploy robotic process automation in three months and get an immediate return on investment.
  • Improve customer service: Gain real-time access to customer information, accelerate response to their requests, and identify other product and service needs.
  • Increase resource capacity: Deploy digital workers to empower employees and increase capacity for peak processing volume situations.

How does intelligent automation revolutionise financial services? (2)

Figure 1. Benefits of IA in financial services.

Challenges of Intelligent Automation in financial services

Although it has wide applications, IA also faces challenges in the financial services that can prevent the growth of the business. Some of the challenges are:

  • Lack of IT support. Requires IT teams skilled in Cloud operations.
  • Lack of employee support. Implementing any new system or process requires human support.
  • Unclear vision. Clear strategy is essential to have a global vision of its full benefits.
  • Fragmented processes. While processes at companies are normally fragmented by departments, Intelligent automation involves automating several processes across departments and teams.

The impact of those challenges can be reduced if using Workato, which we will talk about in the next point.

Workato & Intelligent Automation

Workato enables companies to implement enterprise-wide automation, without worrying about uncertain costs for different automation projects.

The low-code automation platform is the solution as they don’t require technical expertise on the part of users and thereby enable wide-spread adoption.

It can automate the most critical business process which is the revenue process: pricing, contracts, billing etc. It can also record payment status and its history, keeping the vendor data in sync in order to automate expenses, payroll, payments and RMA. The documents are automatically uploaded and organized in order to meet audit control points. It also offers quote to cash, building automation, transparency, speed and control that enables growth and improved analytics. It can automate any procurement process and so can help the streamline procurement workflows without writing a line of code.

Finally, it continuously monitor and collect all spend data in one board, giving the team the power to make decisions with real time reporting.

Conclusion

The implementation of Intelligent Automation technologies allows companies to drive innovation within their work structures to reinvent critical areas of the business.

In this way, Intelligent Automation gives them the possibility to create new processes to achieve the margin of competitiveness and profitability they need. Employees are more willing to use their full potential, adding value to the organization and the customer experience.

As we can see, although IA changes the labour paradigm, its implementation does not imply at all the destruction of human labour. On the opposite, it is a tool that, when well applied, frees employees from monotonous tasks, boosting their talent.

If you think your organization needs help on that journey and want to know more about it, do not hesitate to contact us for more information!

EbookHow to use Workato and Azure Service Bus to create an API façadeIn this ebook, we will demonstrate how to harness both Workato and the Azure Service Bus...

How does intelligent automation revolutionise financial services? (4)

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SEO and Content Marketer Specialist

How does intelligent automation revolutionise financial services? (2024)

FAQs

How does intelligent automation revolutionise financial services? ›

Intelligent Automation in financial services allows for faster data analysis, accurate forecasting and the identification of potential problems before they arise. Automating processes and Scanning and processing documents.

How is AI revolutionizing the financial industry? ›

AI systems can automate the monitoring of transactions, detect potential compliance issues, and generate reports required by regulatory bodies. This not only streamlines compliance processes but also reduces the risk of human error. The impact of Artificial Intelligence in the finance industry cannot be overstated.

What is intelligent automation in finance? ›

This means the intelligent use of multiple automation approaches and tools, from integrating basic robots to full digitization of processes and systems.

How robotic process automation is revolutionizing the banking sector? ›

Automated underwriting processes in banking enable taking loan-related decisions based on algorithms rather than relying on inhuman beings. RPA in underwriting removes the risk of manual error, and misinterpretation of loan risks, and takes care of biases while having decisions.

How does generative AI affect financial services? ›

Gen AI is now catalyzing a significant shift, with 78% of surveyed financial institutions implementing or planning Gen AI integration. Around 61% anticipate a profound impact on the value chain, enhancing efficiency and responsiveness.

Is finance going to be replaced by AI? ›

A Citibank bank's study estimates over half of financial sector jobs are ripe for AI automation, though net job destruction at banks and across the economy may be limited. The threat from artificial intelligence (AI) to millions of repetitive, lower-paying jobs is a big factor in the future of business.

How is AI disrupting the banking industry? ›

AI in banking has tremendously changed the way banks operate. It has modified the banking and finance sectors, by providing improved fraud detection, automating tasks, predicting market trends, and assisting in better decision-making. It has made online banking platforms more secure, robust, and customer-centric.

Will finance be automated by AI? ›

This is because AI and associated technologies are going to automate much of finance. It's already happening. So far, the change has affected relatively basic work. However, increasingly, technology is moving on to complex tasks.

What is automation in financial services? ›

Automation tools are built to handle repetitive, time-consuming tasks quickly and accurately. For example, they can automatically input data into systems, scan and process invoices, analyze financial data to provide insights and forecasts, and generate financial reports to ensure accuracy and timeliness.

How to use AI in finance? ›

8 Ways to Use AI in Financial Services
  1. Investment Advice. ...
  2. Automated Trading. ...
  3. Customer Service. ...
  4. Credit Scoring and Loan Approval. ...
  5. Fraud Detection and Prevention. ...
  6. Risk Assessment. ...
  7. Market Analysis. ...
  8. Accounts Payable Automation.
Jan 17, 2024

How automation is changing the banking industry? ›

These processes can range from routine tasks to complex financial operations. The banking automation process increases efficiency, accuracy, and speed in carrying out tasks while reducing the need for manual processes. This leads to better resource allocation and cost savings.

How AI is revolutionizing industries? ›

AI is a cornerstone of Industry 4.0 and 5.0, driving digital transformation across diverse sectors. Industries can automate processes, optimize resource utilization, and enhance decision-making by harnessing AI capabilities such as machine learning, deep learning, and natural language processing [61].

How AI is transforming the FinTech industry? ›

Improved Customer Experience

Now big organizations can seamlessly deliver personalized experiences. FinTech companies are using AI to enhance the client experience by offering personalized financial advice, effective customer care, round-the-clock accessibility, quicker loan approvals, and increased security.

How is AI changing the financial sector? ›

In recent years, AI has started to revolutionize the financial industry in ways we could only have dreamed of in the past. Machine learning algorithms can now analyze vast data sets in real time, providing deeper insights into market trends, risk assessments and customer behaviour.

What are the problems with AI in financial services? ›

However, hallucination, algorithmic bias and vulnerability to data quality issues present risks to the accuracy of AI predictions. If financial entities base their decisions on faulty AI predictions which are not checked, this could lead to outcomes that may result in economic losses or even disorderly market moves.

What is an example of how AI has benefited the financial services industry? ›

The benefits of implementing AI in finance—for task automation, fraud detection, and delivering personalized recommendations—are monumental. AI use cases in the front and middle office can transform the finance industry by: Enabling frictionless, 24/7 customer interactions. Reducing the need for repetitive work.

How is AI changing the accounting industry? ›

AI's role in boosting efficiency and accuracy

Repetitive tasks like data entry, invoice processing, and reconciliations are being automated by AI, freeing up accountants' time. This not only streamlines operations but also minimises human error, leading to more reliable financial records.

How is AI changing wealth management? ›

Reducing Cost And Risk

AI can help automate middle and back office processes as well as increase monitoring and supervisory activities to manage risk and identify opportunities for improvement.

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