Personalization will define what’s next in commercial banking

In today’s experience-driven digital economy, commercial banking must evolve beyond one-size-fits-all offerings. Just as consumers receive personalized recommendations from platforms like Amazon or Netflix, businesses—from startups to global enterprises—now expect tailored financial services that align with their unique industry dynamics, growth stages and operational complexities.

Traditionally, commercial banking has been product-centric, offering standardized services like trade finance or lending, with limited flexibility. Relationship managers helped bridge the gap through personalized attention, but human-led service alone can’t meet the expectations of today’s always-connected clients.

This is where artificial intelligence (AI), especially agentic AI, transforms the game. Unlike conventional AI, agentic AI is autonomous, adaptive and proactive—it learns from patterns, responds to real-time changes and can take informed actions on behalf of clients. For banks, this unlocks scalable, intelligent personalization—making digital banking not only more relevant and responsive, but also a strategic partner in the client’s financial journey.

Here are seven key areas where AI-driven personalization is reshaping commercial banking:

Customized Credit and Lending Solutions

• AI can analyze transaction data, industry trends and historical repayment behavior to offer loans tailored to the specific needs of a business. Instead of rigid loan products, banks can create flexible financing packages that align with a client’s working capital requirements, seasonal demand or expansion plans.

Bespoke Financial Products

• With access to granular data, banks can design and recommend a mix of financial tools that suit the client’s context. For example, a logistics company with international operations might benefit from a bundle that includes dynamic foreign exchange hedging, receivables financing and supply chain analytics—all curated through AI insights.

Proactive, Contextual Advice

• Agentic AI systems don’t wait for the client to make a request. They analyze patterns and provide proactive alerts and recommendations. A client facing cash flow pressure might receive early warnings and suggested actions like deferring non-essential payments or tapping into a credit line. This makes the bank a real-time partner in financial decision-making.

Personalized Communication and Marketing

• Effective personalization extends beyond products into how and when banks communicate with their customers. By analyzing customer behavior and life events, banks can send timely and relevant messages via preferred channels like mobile apps, email or SMS. For instance, someone who recently explored investment tools might receive an educational email series on mutual funds.

AI-Powered Virtual Assistants

• AI-powered chatbots and voice assistants have become integral to personalized banking experiences. These digital assistants can answer queries, provide transaction summaries and even suggest money-saving tips—all based on the user’s individual financial data. For example, if a user frequently overdrafts, the chatbot might recommend setting up an alert system or switching to a different account type.

Adaptive User Interfaces

• Modern banking platforms now use AI to create adaptive user interfaces that personalize the experience for each client. These interfaces streamline tasks by pre-filling forms, learning preferences and tailoring workflows—reducing friction from onboarding to servicing. Content is dynamically prioritized based on user behavior, time or financial goals. For example, a mid-sized exporter might see FX risk insights, tailored loan options and compliance alerts—rather than a generic dashboard. This personalization turns banking from a routine transaction tool into a strategic partner that supports smarter financial decisions.

Tailored Payments capabilities

• AI can help financial institutions get deeper insights from customers, industry and transaction data and ultimately provide tailored payment capabilities to commercial banking clients. From preferred routing, automated exception handling post reconciliation, custom risk management, dynamic approval, smart workflows and an optimal cost structure, there is a significant opportunity to personalize commercial payment capabilities leveraging the power of AI.

As AI-driven personalization becomes more widespread in commercial banking, it brings important responsibilities that banks must carefully address. Implementing personalization ethically and transparently is crucial to maintaining customer trust and regulatory compliance. Responsible AI plays a key role by ensuring that algorithms do not perpetuate existing biases—such as unfairly denying loans to certain industries or regions—and that AI-driven decisions can be clearly explained, particularly in sensitive areas like credit approvals and fraud detection.

Additionally, responsible AI requires robust data privacy protection, so clients feel confident their personal and financial information is handled securely and with integrity. To achieve this, banks must invest not only in advanced AI technologies but also in strong governance frameworks, guardrails, regular bias audits, human oversight and clear transparency standards.

The future of commercial banking lies in delivering personalized, relevant and responsive services on a scale. AI and agentic technologies provide the tools to meet these expectations, but they must be deployed thoughtfully and responsibly. Banks that successfully combine intelligent AI with ethical practices will redefine their role—moving beyond transactional service providers to become trusted, proactive and personalized partners in every client’s financial journey.

Puneet Mody is SVP & Regional Head of Commercial Banking, Financial Services at Infosys.