From legacy to leadership: How digitalization is transforming commercial lending

Introduction 

The world of commercial lending has been grasping at modernization for decades. But for all the industry’s efforts, success remains elusively out of reach. True modernization in lending hasn’t yet attained the scale or sophistication otherfinancial markets have achieved. 

But here’s the billion dollar question: Is that about to change? 

Artificial intelligence (AI), and other tech breakthroughs have the potential to transform lending. And when it comes to embracing new tech, there’s no time like the present. That’s especially true in today’s Darwinian business ecosystem, where survival of the fittest (or in this case, the most-optimized) is the law of the jungle.  

There’s always the fear that competitors will upgrade first; a worry which forces the hands of CTOs and instigates a fierce arms race for AI adoption. But there’s also the financial savings that new tech and automation can offer; essential in a time of rapid inflation and constant search for cost optimization. And there’s the threat of new players in the space, with private credit firms now lending on a massive scale and becoming a new option for corporate borrowers. 

Thus, banks and lenders have now become risk sensitive, and are taking the initiative with their digital infrastructures. But what does the landscape look like now, and how did we get here? 

The legacy challenge 

Picture the scene in 2008. In the wake of the disastrous financial crash, banking institutions rushed to reassess their business practices, company cultures, risk management, and admin tools.  

With financial oversight and increased security and compliance a priority, the financial giants of Wall Street and beyond threw themselves into strengthening the efficiency and security of their back-office systems. Those immediate initiatives focused on building robust data infrastructures, capable of collecting and structuring information for improved risk reporting and real-time insights. 

While the back office has become more data-driven, the processes surrounding it are still mired in an analog age, reliant on the tedious paper-shuffling of manual admin. This imbalance — between the hyper-efficiency of the digital, and the sluggish silos of the analog — has rendered commercial lending processes fragmented and inefficient. 

Lest we forget, the sheer complexity of commercial lending in 2025 now involves multiple players, all of whom boast varying levels of expertise, and widely different tools and processes. From bankers to brokers, lawyers to analysts, it’s unlikely for all stakeholders to be on the same page with tech and processes. This imbalance (on an individual and enterprise-wide level) makes the digitalization journey extra challenging.  

All this is compounded by the scale and complexity of the syndicated deal. For example, a lending transaction taking place between large multi-national entities will, by necessity, involve numerous entities from different regions of the world — all of which also have different levels of tech optimization and expertise. 

The evolution of lending 

However, we’ve recently seen an unprecedented impetus from all major lenders to invest in digitalization. And this drive comes with support and guidance from leading lending authorities. 

For example, the Loan Syndications and Trading Association in the United States, the Loan Market Association in the UK and Europe, and the Asia-Pacific Loan Market Association in the APAC region, have all been pushing lenders around the globe to evolve while advising on their efforts.  

By connecting experts, sharing ideas, and building foundations for all, these third-parties are encouraging co-operation and knowledge-sharing among the various disparate lending institutions. They aim to put everyone on an even playing field through education and standardization; developing data best practices and admin standards, and promoting electronic trading platforms to streamline processes and communication.  

Plus, these associations are also building legal foundations, and enshrining digital contracts and paperwork within the legal firms that lenders also rely on — leveraging the new tech to add greater fluidity to the lending market.  

Learning from retail  

When it comes to digitization, it pays to follow other success stories. The world of retail banking offers valuable lessons in digital transformation for the commercial lending sector to follow. Over the past decade, retail banks have reimagined the customer experience; introducing mobile apps, instant account opening, and automated credit scoring that have become industry standards. These innovations have not only improved efficiency but also raised customer expectations for speed, transparency, and personalization. 

Commercial lenders can draw inspiration from this journey by prioritizing customer-centricity and leveraging automation to streamline complex processes where possible. Moreover, retail’s focus on seamless digital onboarding and self-service tools demonstrates the value of empowering clients with intuitive, transparent experiences.  

By adopting similar approaches, commercial lenders can differentiate themselves in a competitive market, enhance client satisfaction, and unlock new efficiencies across the lending lifecycle. But with the emergence of neo-banks (such as Revolut and Monzo) starting to enter in the SME corporate lending space, the pressure for incumbents to modernize is intensifying — with AI expected to act as a major catalyst. 

The AI opportunity 

AI has the potential to radically alter the finance industry. But AI’s biggest application for lenders lies in their front-office operations — particularly when it comes to deal origination and credit decisioning. Machine learning algorithms are capable of analyzing vast reams of financial data, and then identify relevant patterns and insights.  

By leveraging internal and external data (such as back-office risk metrics, industry exposure, and segment trends) these AI tools can help human agents identify risk profiles, assess creditworthiness, and accelerate decision-making.  

As we’ve explored in a previous article, several major banks have already demonstrated dramatic results, reducing credit decision times from several days to under an hour by deploying AI-powered tools.  

Preparing for transformation 

Preparing for true transformation means more than adopting the latest technology. It requires a holistic approach from each enterprise that pursues it, subject to their specific individual needs and requirements.  

Banks should assess their digital readiness, identifying gaps in their current systems, and setting clear priorities to make sure the digitalization journey is at the heart of their strategy. Investing in change management and upskilling employees will ensure your organization embraces new processes. By working with technology partners, fintechs, and industry bodies, banks can stay ahead of regulation and tap into emerging best practices. But remember: leadership commitment is essential to drive this change, supported by a clear roadmap with measurable milestones. 

Finally, as banks modernize, they must maintain a strong focus on risk management and compliance, ensuring that innovation doesn’t come at the expense of security or regulatory standards. Taking a strategic, people-centered approach to transformation is essential for the next era of commercial lending. 

Commercial lending needs to wake up. Passivity will be the death of any business that wants to succeed in a changing landscape. And with players like Revolut elbowing their way into the commercial table, the market is set to change drastically.  

But the first step on this journey is education. So, if you’d like to learn more about digitization in the commercial lender sector, visit our resources page now.

Author: Olivier Brien, Partner Lending Solutions EMEA