Commercial Lending in 2026: A Return to Disciplined Growth
Article

Commercial Lending in 2026: A Return to Disciplined Growth

Tom Siddiqui | Head of Financial Services

Tom Siddiqui | Head of Financial Services

Commercial lending is moving out of defensive mode.

Against a backdrop of continued unease around credit quality, banks are increasingly prioritizing disciplined, selective growth and operational control. In 2026, the goal is not expansion at any cost. It is growth supported by stronger risk discipline, clearer borrower experiences, and scalable processes. 

Where Growth Is Concentrating

Across bank and market outlooks, a consistent theme is selectivity. Capital is flowing toward sectors with clearer fundamentals and toward mid-market businesses that are planning to invest in efficiency and growth.

  • Infrastructure and energy transition
  • Manufacturing and supply chain investment, including onshoring
  • Healthcare and essential services
  • Commercial real estate, with lending driven by asset quality and property type
  • Mid-market and “Main Street” commercial borrowers

Mid-market businesses are increasingly central to growth strategies. Many are operating with modern accounting platforms, ERPs, and digital finance systems. They expect speed, transparency, and a borrower journey that does not rely on repeated document requests.

➡️ The question for lenders is simple: how do you grow without reintroducing operational drag and maintaining credit quality?

 


The Mid-Market Moment: Why “Main Street” Borrowers Matter

Middle market businesses represent a meaningful share of economic activity and employment. In the United States, middle market firms are often cited as representing about one-third of private sector GDP and employing tens of millions of people. In Canada, medium-sized businesses contribute a material share of private-sector GDP alongside small businesses.

However, the lending experience has not always kept pace with how these borrowers operate.

Manual document collection, email back-and-forth, and inconsistent financial file formats create friction at the start of the credit process. That friction can affect:

  • Underwriting timelines
  • Risk accuracy and comparability
  • Borrower experience and satisfaction
  • Relationship manager capacity

As competition for quality borrowers increases, the lender that removes friction early gains a practical advantage.

 


AI in Commercial Lending: Practical, Not Theoretical

AI in commercial lending is moving beyond experimentation. The focus is now on practical use cases that improve speed and visibility, including underwriting efficiency, covenant monitoring, and portfolio monitoring.

A critical dependency often gets missed: AI is only as effective as the quality and consistency of the underlying data.

If general ledgers and trial balances arrive in inconsistent formats, automation slows down. Teams spend time cleaning and standardizing data instead of assessing risk. Models struggle with comparability, traceability, and repeatability across portfolios.

When accounting data is delivered from source systems into a normalized structure, lenders can:

  • Accelerate underwriting decisions
  • Improve covenant monitoring accuracy
  • Scale portfolio monitoring without proportional headcount growth
  • Strengthen auditability and data traceability

This is where platforms like Validis operate in the ecosystem. The role is not to replace credit judgment. It is to reduce friction at intake and provide standardized, reliable accounting data that supports downstream analysis, monitoring, and decisioning.

⬇️ Learn how standardized accounting data supports underwriting and portfolio monitoring
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What Leading Institutions Are Doing: The Barclays Example

Barclays provides a practical example of digital transformation in commercial lending and working capital workflows.

Business problem
Manual financial data collection created operational strain at scale and increased risk, particularly as client volumes grew.

What changed
By implementing standardized, automated accounting data capture, Barclays reduced manual processing and created a more consistent data foundation to support faster decisioning.

Tangible outcomes

  • Improved speed and turnaround times
  • Reduced operational strain and manual effort
  • Improved data consistency and integrity
  • Better customer experience through a simpler intake journey

The shift was not about adding complexity. It was about strengthening the first mile of the lending process.

⬇️ See how Barclays are transforming onboarding workflows
Read the case study

 


Digital Customer Experience Is Becoming a Competitive Differentiator

Banks have made real investments in commercial client portals. But ROI depends on what runs inside them. Embedding automated financial data sharing into those portals removes friction for borrowers and eliminates manual work for credit teams, turning infrastructure banks already own into a genuine competitive advantage. That is exactly where Validis delivers.” 

Tom Siddiqui, Head of Financial Services at Validis

 


Preparing for 2026: Three Capabilities That Matter Most

Heading into 2026, commercial lending execution will likely hinge on:

  1. Selective growth in resilient sectors
  2. Data readiness for AI-driven insights and monitoring
  3. Frictionless digital borrower journeys

📈 The common denominator is operational consistency at the data layer.

Institutions that standardize financial inputs at the start of the lending lifecycle are better positioned to scale responsibly, improve monitoring, and maintain borrower trust.

 


Ready to Strengthen Your Lending Data Foundation?

If your team is exploring ways to improve underwriting speed, enhance portfolio monitoring, or modernize borrower onboarding:

⬇️ Explore Validis Commercial Lending Services Solutions
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⬇️ Read more client transformation stories
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Book your demo today.