Chris Porter, CEO, NexBotix


There is perhaps no better example of the way in which digital technology has transformed an industry than in the financial services sector. The rise of technology-led challenger brands has forced the well-established financial powerhouses to invest heavily to ensure their products and services meet the demands of a world in which the cheque book and bank branch are fast becoming historical relics.

While the speed of digital transformation has been steadily increasing in pace over the last decade, events of the past year have only served to accelerate the process. Financial services firms have, in parallel with many other sectors, quickly adjusted to the realities of the pandemic – lockdown-dominated populations whose only connections to external services have been electronically driven. As companies have adjusted to the ‘new normal’, they have hurriedly explored ways in which to streamline processes, harness data or shape entirely new ways of doing business.

2020 saw an acceleration in the pace of adoption of digital transformation technologies, particularly in response to the growing consumer use of on-line channels. A survey by McKinsey found that globally, about 55% of products and/or services were fully or partially digitised as of July 2020, compared to 35% in December 2019 and 28% in May 2018.

The findings are supported by those of the latest World Retail Banking Report, which emphasised the extent to which the global pandemic has generated more consumer demand for digital. Over half (57%) of consumers now prefer internet banking, up from 49% pre-COVID-19, and 55% preferring banking mobile apps, compared with 47% previously. Investment in digital transformation to enhance customer experience and drive revenue growth has never been more important.

Chris Porter

A major asset in the transformation process has been automation. According to a survey by Deloitte, 68% of execs have used automation to directly address COVID-19 related problems. The finding is supported by McKinsey, which found that nearly half of 800 executives surveyed have accelerated the adoption of automation “moderately” during the pandemic, and roughly 20% reported “significantly increasing” automation.

Robotic-process automation (RPA) has enjoyed glowing headlines in recent years. The software is capable of handling high volume requests and repetitive tasks, enabling organisations to improve processes and reduce costs while freeing up employees for high value tasks. RPA’s ability to enhance the workflow for time-consuming, high-volume & repeatable tasks means it has been of particular benefit to sectors such as financial services and healthcare.

One of the most commonly reported problems with RPA is scaling, primarily because RPA can only handle structured, rule-based digital processes. Most modern businesses – especially within the finance sector – are full of unstructured data and judgement-based work. As a result, customers exploring how automation can aid transformation are hitting a wall – RPA is failing to deliver on its promised benefits.

Step forward Intelligent Automation (IA) – a combination of artificial intelligence and automation, which is changing the way organisations function in almost every sector.


What is ‘Intelligent Automation’?

Intelligent Automation is a term used to describe a group of technologies – including RPA, Artificial Intelligence, machine learning and analytics – that are integrated with each other to automate more complex business processes. On their own, these technologies deliver limited value. When combined, they can unlock significant value and transform the way businesses operate.

Once a process is automated, employees are free to work on more valuable tasks such as revenue generating activities or focusing on work where human judgement is required. Using extra capacity to review a larger sample of cases that have been prepared by the robots can drive increased compliance, reduced risk, reduced error rates, faster resolution times and increased CSAT scores as well as a healthier bottom line.

Intelligent Automation can be used to underpin broader transformation in business by extending the value of legacy IT systems and providing an orchestration layer between human operations and IT centric business processes. Once a business is no longer held hostage by legacy systems, true transformation can take place by focusing on business outcomes rather than operating around the constraints of existing systems.


How financial services firms can harness the benefits of Intelligent Automation

Demand for Intelligent Automation within financial services has increased significantly. Understanding which business processes to automate and the type of automation to deploy, or even the extent to which automation can help the organisation, can be challenging without the right expertise. Financial services firms would be wise to consider choosing an external Intelligent Automation specialist which is able to identify the best candidates for automation and provide ongoing Managed Services to make sure the automation solution is efficiently implemented and scaled to meet the demands of the organisation.


The most popular use cases for Intelligent Automation in the financial services sector include:

  • Customer Engagement: Consumer demand for efficient and real-time services are driving the need to take an automation-first approach. With increasing volumes of data and emerging channels for accessing such data, market and customer analysis are becoming increasingly important to ensure that the industry is better at driving exceptional customer service. Intelligent Automation and data analytics combined are a powerful way in which organisations can access, analyse and leverage extensive resources (customer databases, social media, etc.) to design financial product tailored to needs and individual requirements.
  • Compliance management and productivity: a critical business function within financial services. However, current business processes often result in large compliance backlogs due to the manual effort and archaic approaches for managing organisational compliance requirements. Intelligent Automation provides a smarter way of working by automating these repetitive and mundane processes (such as data entry between spreadsheets and systems, analysis and reporting), and empowers the human workforce to spend their time and effort on more value-added tasks.
  • Accounting: a paramount requirement within financial services is for strictly accurate and efficient management of those carrying out critical tasks such as accounts reconciliation or preparation of financial statements and reports. Intelligent Automation is being adopted to support the recognised need for process improvement and optimisation, and to eliminate the time-consuming, repetitive and rule-based tasks from the human workforce.


There is no doubt that financial services firms which have already begun their Intelligent Automation journeys have a clear competitive advantage over their peers. The ability to pivot faster and allocate resources where they are needed the most has been crucial in the current commercial environment, and will be increasingly important as we move into what we all hope is the post-pandemic world.


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