Customer Experience Trends in Banking: What to Expect

Accenture reports that banks with the highest customer advocacy scores grow revenue 1.7 times faster than their peers. A separate FICO survey found that 88% of bank customers consider customer experience as important as or more important than the products and services a bank offers. Together, these findings help explain why customer experience has become a business priority rather than simply a service function.

This article examines five customer experience trends in banking: persistent context across channels, agentic AI, personalized service, proactive fraud prevention, and financial wellness guidance. It also outlines practical steps banks can take to improve each area while maintaining security, privacy, and personal service.

Five Customer Experience Trends in Banking

The five customer experience trends in banking below reveals a broader shift toward connected, personalized, and proactive service. Each addresses a common source of friction in the customer journey and an opportunity for banks to improve the experience.

Trend	Customer problem	What banks can do
Omnichannel service	Customers repeat information when they switch channels	Connect customer records, documents, and case history across systems
Agentic AI	Routine requests take too long to resolve	Automate defined workflows and provide a clear path to human help
Personalization	Generic messages are easy to ignore	Use consented customer data to deliver relevant advice and offers
Proactive fraud prevention	Security checks can create unnecessary delays	Use risk-based verification that adds friction only when needed
Financial wellness	Customers receive advice that is too general or arrives too late	Use account information to offer timely insights linked to practical actions

1. Omnichannel Service With Persistent Context

Customers increasingly expect banking experiences to carry across mobile apps, websites, branches, phone lines, and chat services. Accenture’s 2025 Global Banking Consumer Study shows the range of channels already in use: 64% of customers used mobile banking apps at least monthly, while 54% used bank websites and 34% visited branches. In 2026, that mix is expanding further. Accenture found that 71% of respondents would welcome an AI assistant in their primary bank’s mobile app, 65% were open to using a GPT-like financial assistant through a generative AI platform or digital wallet, and 76% would use micro branches or smart booths.

As the number of potential touchpoints grows, so does the need for continuity between them. Banks need connected systems that preserve customer identity, consent, history, and intent from one interaction to the next. A customer who starts with an AI assistant and moves to a live employee, for example, should not have to repeat information or restart a process. Maintaining that context creates a more consistent customer experience while reducing the service costs and risk of churn associated with siloed channels.

Putting Omnichannel Service Into Practice

•  Connect customer data across systems. Use a shared customer record and integrate CRM, servicing, and digital platforms so each channel can access the same information. If a full integration is not possible, begin with one high-volume customer journey.
• Preserve context during handoffs. Store conversation history, documents, identity checks, and application status in a shared case record. Make that record available to the employee or system receiving the interaction.
• Keep service consistent. Create shared policies, response standards, knowledge resources, and escalation rules for branches, employees, and digital tools.
• Measure the customer journey. Track repeated explanations, failed handoffs, transfers, resolution times, and satisfaction by channel. Use those results to identify where customers are forced to start over.

Banks may face roadblocks such as outdated systems, disconnected customer records, inconsistent data, and unclear ownership between departments. Privacy requirements can also limit how information is shared across platforms. A practical response is to begin with one high-volume customer journey, connect the systems involved in that journey, establish clear data and access rules, and test the handoff before expanding to other channels.

2. Agentic AI and Automation

While traditional chatbots answer predefined questions, agentic AI systems can handle sequences of actions by connecting to internal tools and systems. In banking, that could include checking an application, requesting a missing document, updating account information, or routing a dispute to the right team. The system must also recognize when a request requires human review.

A McKinsey estimate suggests that agentic AI could return 10 to 12 hours a week to bankers and increase client coverage capacity by up to 40%. Another source reports that 68% of consumers would allow AI to assist with part of their banking, although acceptance depends on the task, the level of risk, and the quality of the handoff.

Putting Agentic AI Into Practice

• Start with defined workflows. Choose routine, low-risk requests and map every step before introducing automation. Set clear criteria for when the AI has completed the task and when it must stop.
•  Connect approved systems. Use secure APIs and least-privilege access to connect the AI with servicing, account, and customer platforms. Limit access to the information and actions required for each workflow.
• Set approval limits. Create rules that send credit decisions, disputes, fraud cases, and account closures to trained employees. Document which actions the AI can complete independently.
• Maintain an audit trail. Record the information used, actions taken, decisions made, and employees involved in each interaction. Review those records when customers dispute an outcome or a system produces an error.
• Measure resolution quality. Track completed requests, errors, escalations, repeat contacts, satisfaction, and resolution times. A request should count as successful only when the customer receives a complete answer or outcome.

These programs require coordinated data, secure integrations, clear ownership, privacy controls, and ongoing testing. A limited pilot, a controlled testing environment, least-privilege access, and an easy path to human support can help lenders expand automation responsibly as workflows become more complex.

3. Personalization

Customers are more likely to respond when a bank’s messages, recommendations, and support reflect their circumstances. Personalization can use transaction history, product use, previous interactions, and stated financial goals to shape the timing and content of an interaction.

The commercial case for this trend is strong. Several sources report that personalized offers have produced up to a fivefold increase in click-through rates, while 70% of consumers expect personalized advice from their bank. Those results depend on using accurate information and offering something genuinely relevant. A poorly timed or incorrect recommendation can weaken trust instead of improving the relationship.

Putting Personalization Into Practice

• Build a reliable customer profile. Combine transaction, product, interaction, and preference data while resolving duplicate records and confirming consent. Review the data regularly so outdated information does not drive new recommendations.
• Focus on useful moments. Use customer activity and stated goals to trigger relevant messages instead of sending broad campaigns. For example, a savings reminder should relate to the customer’s cash flow or an active savings goal.
• Explain each recommendation. Tell customers why they received the message and what information influenced it. Give them simple controls for changing preferences or opting out.
• Test for fairness and accuracy. Review recommendations across customer groups for incorrect assumptions, biased outcomes, and fair-lending concerns. Involve compliance and risk teams before expanding the program.
• Measure customer response. Track engagement, conversions, complaints, opt-outs, and whether the recommendation led to a useful action. High click-through rates alone do not show that personalization improved the customer’s experience.

Personalization can be difficult to implement when customer data is split across systems, consent records are incomplete, or outdated information produces inaccurate recommendations. Excessive messaging can also make the experience feel intrusive. Banks can limit these problems through stronger data governance, clear consent practices, frequency limits, and regular reviews of how recommendations affect different customer groups.

4. Proactive Fraud Prevention

The need for robust fraud prevention measures is growing, and it’s also a critical part of the customer experience because people expect their bank to protect their money without making ordinary transactions difficult. One industry estimate projects auto lending fraud to surpass $10 billion. Similarly, TransUnion’s research indicates that fraud losses can be higher among borrowers in traditionally stronger risk categories. Credit quality alone is therefore not enough to determine whether an application or transaction requires review.

Putting Proactive Fraud Prevention Into Practice

• Monitor activity in real time. Apply fraud checks to applications, logins, payments, account changes, and other high-risk events. Connect those checks to a central alert and case-management process.
• Combine multiple signals. Feed device information, behavior, transaction history, identity data, and application details into a shared risk model. Reviewing several signals can reduce reliance on a single indicator.
• Use risk-based verification. Apply stronger checks only when the available signals justify them, while allowing lower-risk customers to proceed smoothly. Adjust the level of friction according to the type and severity of the risk.
• Keep human review available. Give employees a case-management system for complex alerts, disputes, and false-positive appeals. Provide them with the evidence behind the alert so they can make a consistent decision.
• Measure customer impact. Track fraud losses, false positives, declined applications, review times, complaints, and successful appeals. Use the results to adjust detection thresholds and verification steps.

Fragmented data, high alert volumes, outdated systems, and changing fraud patterns can make these controls difficult to manage. Overly aggressive screening may also frustrate legitimate customers. AI-driven fraud detection can support this process, but it should operate within documented controls and human oversight.

5. Financial Wellness and Proactive Guidance

Financial wellness is becoming a larger part of the banking customer experience as consumers look for help managing immediate financial pressures. J.D. Power’s 2026 U.S. Financial Health Support and Advice Study found that 40% of bank customers are financially vulnerable, while 47% recall receiving some form of advice from their bank. Customers are particularly interested in practical guidance, including tips to improve their financial situation, build emergency savings, and stay on budget.

Meeting that demand requires more than providing general financial advice. Only 20% of bank customers say their provider always personalizes the information they receive, yet J.D. Power found that effective personalization is associated with a 238-point increase in customer satisfaction. Banks can use account and transaction information to identify useful moments, such as an upcoming cash-flow shortfall, an opportunity to increase savings, or a change in credit usage, and connect those insights to actions customers can choose to take.

Putting Financial Guidance Into Practice

• Start with specific needs. Build guidance around immediate customer needs such as budgeting, emergency savings, credit management, debt repayment, and cash-flow planning. Begin with a small number of clearly defined use cases rather than broad financial advice.
• Use account data to personalize guidance. Categorize transactions, consider the customer’s account context, and update insights before presenting them. Give customers a way to correct information that is incomplete or inaccurate.
• Connect guidance to an action. Let customers adjust a savings goal, set a reminder, review a payment option, or open a relevant tool from the same message. Guidance is more useful when the next step is clear.
• Give customers control. Explain why an insight appeared and allow customers to change preferences or turn off notifications. Limit the frequency of messages so useful guidance does not become intrusive.
• Measure usefulness. Track engagement, completed actions, opt-outs, complaints, and changes in customer financial behavior. Review whether the guidance helped customers rather than measuring clicks alone.

The main challenges are incomplete data, inaccurate assumptions, excessive notifications, and concerns about privacy or unsuitable advice. Banks can reduce these risks by testing recommendations, using clear explanations, limiting message frequency, and giving customers control over how their information is used. Guidance that feels intrusive, generic, or does not lead to a practical next step is unlikely to strengthen the customer relationship.

Preparing for the Next Phase of Banking Customer Experience

Customer expectations will continue to change as digital tools, automation, and human service become more closely connected. Banks should respond with focused improvements rather than isolated technology projects. The next step is to choose a high-impact customer journey, define the outcome it should improve, assign clear ownership, and test changes with measurable safeguards.

defi SOLUTIONS works with lenders to connect origination, servicing, and managed servicing across the lending lifecycle. Its combination of lending technology, integrations, workflow automation, and operational support can help institutions create more consistent customer experiences while keeping data, processes, and oversight connected as they grow. Contact us to discuss how your institution can prepare for the next phase of customer experience in banking. 

Frequently Asked Questions

Why does customer experience matter so much for banks now?

Customer experience affects growth, retention, and the willingness of customers to use more of a bank’s products. Banks with high customer advocacy grow revenues significantly faster than peers, and many customers who leave do so because of poor service rather than price. Digital challengers have also raised expectations for speed, convenience, and transparency.

Will AI replace human customer service in banking?

The evidence points to augmentation rather than replacement. Customers report higher satisfaction with human interaction for complex issues, so the strongest model uses AI for routine, high-volume requests while employees handle emotionally or financially significant moments. AI expands what human agents can do when the handoff is clear, and the employee receives the necessary context.

How do banks personalize without compromising privacy or fairness?

Banks should use a reliable data foundation, clear consent practices, and transparent explanations of how customer information influences recommendations. Personalization programs also need the same fair-lending, bias testing, security, and access controls applied to other customer and credit processes. Regular reviews can identify inaccurate recommendations or unequal outcomes before they affect more customers.