Published by Jessica Weisman-Pitts
Posted on January 23, 2023
5 min readLast updated: February 2, 2026
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To be bylined to Simon Kearsley, CEO of bluQube
With organisations across virtually every industry utilising some form of digital technology, the use of the phrase digital transformation is no longer a foreign concept. Yet, despite its widespread implementation, it’s a phrase that still causes anxiety amongst 80% of the workforce. As the COVID-19 pandemic encouraged the acceleration of new technologies amongst 47% of business leaders, with 29% developing plans to digitise in the future, this warrants a new conversation around the role of the human workforce.
Amongst the most widely adopted technologies is cloud-based software, which, hand-in-hand with interoperability, allows enterprises to experience vast efficiency gains, cost savings, and improved customer service. Many organisations are also using this technology to digitise their supply chain, with the introduction of artificial intelligence (AI) and big data expanding companies’ potential with the ability to automate nearly 80% of work and 70% of data processing.
Interestingly, this means that businesses’ capacity to make informed decisions has never been greater. With enhanced insight into consumer behaviour, businesses can utilise this information to tailor their services and inform future planning. Not only does this generate greater growth opportunities for the business, but it also empowers the workforce to transition their roles from more onerous, time-consuming tasks towards impactful and more fulfilling contributions within their company.
The value of data
Digitally led automation, such as the introduction of OCR software, has become a driving force for process optimisation across organisations. One of the primary benefits lies within its ability to eliminate time-consuming manual tasks, such as data-entry, re-keying, and administration. As these tasks form the foundation for many employees’ roles, it is understandable that individuals may feel a level of anxiety around automation. However, in practice, automation creates a plethora of possibilities that show workforce anxiety around the purpose of their roles needn’t increase.
Primarily, increased access to data analytics means that employees are free to take on less monotonous roles in place of a more rewarding career, for example, roles in strategy development and operational management that would allow staff to drive fundamental changes across the business. They could also become involved in the product ideation process to improve the business’ current service offering.
Not only does this improve employees’ daily productivity and efficiency but it also provides greater scope for progression. This enhanced digital capability can help develop new skillsets and provide career opportunities that would have previously been unattainable. However, wider managerial support and flexibility is required to underpin this employee development alongside a smoother transition to new technologies and processes.
Organisational potential
Amidst the current economic backdrop, businesses are facing vast cost restrictions and financial pressures. However, software can provide valuable insight into customer behaviours and across other areas of the organisation which can be used to inform operations and build a more effective strategy. This data also offers insight into which areas of the business are delivering a better return on investment, and therefore where resources should be scaled back or reallocated to maximise profit. These data insights provide enterprises with greater flexibility to respond to changing circumstances and remain competitive in a challenging marketplace.
One of the key drivers for long-term technological change within enterprises is AI. As these systems continually learn and adapt to the requirements of the organisation over time, it will play an increasingly important role in how businesses interact with customers, stakeholders, and employees alike.
Customer preferences
Advanced technologies highlight the value of the human touch within the workforce, and this is particularly true within customer service. Our research into the attitudes of business leaders towards digital transformation found that 90% believe that human touch within customer service is increasingly important alongside new technology – 40% of business leaders even described this as a ‘100% mission critical focus.’
Throughout the pandemic, customers across almost every industry experienced depleted customer service levels. Now, as businesses and individuals face the challenges of the economic climate, the requirement for efficient customer service teams has arguably never been more important.
As technology collects and stores valuable insight, organisations can use this information to improve future customer experiences. Whether this means adapting procedures based on recurring scenarios, or equipping businesses with the resource saved from manual data entry and repetitive tasks to appoint dedicated customer service teams. In turn, this supports business leaders’ desire for the human influence and makes organisations more likely to increase their competitive standing.
The human outlook
Digital transformation encompasses a variety of new technologies with transformative applications. However, employees that are still unsure of what this transformation means for their careers must remember that its benefits do not solely apply to enterprises. Corporate digitisation and the human workforce must work in tandem with one another for technology to work to the best of its ability. As a result, this is an exciting time for employees to advance their own roles and capabilities and develop a data-led skillset to use as a launchpad for exceeding their career potential.
Digital transformation refers to the integration of digital technology into all areas of a business, fundamentally changing how it operates and delivers value to customers.
Automation in banking involves using technology to perform tasks that were previously done by humans, such as data entry and processing, to improve efficiency and reduce errors.
Data analytics is the process of examining data sets to draw conclusions about the information they contain, often used to inform business decisions and strategies.
Customer service is the support offered to customers before, during, and after purchasing products or services, aimed at enhancing customer satisfaction.
AI in banking is used to enhance customer experiences, improve operational efficiency, and provide insights through data analysis, automating processes and personalizing services.
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