Money20/20 USA 2026 takeaways: AI, digital experience and trust
Banking's Next Big Challenge? Getting the Small Moments Right. Three takeaways from Money20/20 USA 2026 on AI, digital experience, and customer trust
A customer taps “Submit Payment.” Nothing happens. They tap again. Did the payment go through? Should they try a third time?
For the customer, a slow screen becomes a question of trust. It is also a moment small enough to disappear into an average.
At Money20/20 USA, our conversations about AI, fraud prevention, and digital modernization kept returning to one challenge: how do financial institutions turn ambitious investments into experiences customers trust?
The stakes go beyond a single transaction. Nearly half of financial services consumers (46%) would stay with a provider offering an excellent customer experience even if it raised rates or fees, according to Salesforce’s 2025 Connected Financial Services Report, a global survey of 9,500 consumers. Source: Salesforce
Three themes stood out in our conversations with digital, product, CX, fraud, and contact center leaders.
Trusted AI needs evidence and control. Teams need answers grounded in customer behavior, delivered within environments institutions can govern.
Better service starts before the call. The digital experience that prompted a customer to seek help explains the call, and improves both self-service and human support.
Modernization must protect customer confidence. Institutions need to see where fraud, failed journeys, and inaccessible experiences put relationships at risk.
Trusted AI needs evidence and control
AI came up repeatedly, but the questions quickly turned practical. What data informs an answer? Can the team verify it? Who controls access?
Glassbox account executive Luke Boggis heard particular interest in bringing behavioral insights into institutions’ own approved AI environments. That lets teams connect digital experience evidence with other enterprise information while keeping control over how it is accessed and used.
Picture a product manager asking in plain language: why are customers abandoning our loan application? A useful answer ties the drop-off to specific errors, slow responses, or confusing steps, and links to the sessions behind it. The team can see the evidence and decide what to fix, instead of debating a summary.
The implication for financial institutions: Take one AI-generated finding and trace it back to the sessions behind it. How long does it take, and who is allowed to do it? The answer shows how far your team can trust the AI.
Better service starts before the call
Contact center operations were another recurring topic. In one session our team attended, a bank’s chief AI officer described using AI to analyze incoming calls, and other financial companies raised similar uses.
Call analysis can explain what a customer said. The digital journey can explain why they called and where they failed, fast.
Illustrative only: the steps depend on the bank’s integrations and access controls.
Take the customer from the opening: they tapped “Submit Payment” twice, got no confirmation, and picked up the phone. Connecting that journey summary report to support creates a chance to offer timely help through existing channels. When a person is needed, visibility into the preceding session means the customer no longer has to reconstruct what happened.
The implication for financial institutions: Pick your most common service call and examine the digital steps leading into it. Where those steps fail, you will find demand you can avoid and resolutions you can speed up.
Modernization must protect customer confidence
The common thread in the fraud and migration conversations: a journey can look healthy in the system and still fail the customer.
A migration can be technically complete while customers still struggle to log in or reach a familiar service. Monitoring changes in journey performance, and tracing those changes to the affected sessions, shows teams the customer impact.
Fraud investigations benefit from the same visibility. Seeing what happened inside a digital session gives investigators behavioral evidence alongside transaction and identity signals.
Accessibility belongs in this picture too. A customer using a screen reader may be unable to complete an application behind the login, where public tools cannot see. If your team cannot see that barrier, it will not count it as a failure.
At the booth, Glassbox account executive Brian Wolff tied these issues to trust. As more banking moves to self-service, customers need to feel their money is accessible and that help is there when something goes wrong.
The implication for financial institutions: Assess critical journeys from the customer’s perspective before and after a change. A successful deployment should translate into an experience people can complete.
Frequently asked questions about digital experience in banking
How can banks identify why customers abandon digital transactions?
Banks can identify why customers abandon transactions by connecting digital journey analytics with session-level behavioral and technical evidence. Rather than seeing only where customers drop off, teams can investigate what happened before abandonment, including errors, slow responses, confusing steps, and repeated attempts. That helps them find the causes of friction and prioritize fixes in critical journeys such as payments, account opening, and loan applications.
Glassbox Customer Insight: Customers with high intent often leave because an interface feels unresponsive or misleading. In a major digital lending journey, users repeatedly clicked entire loan option cards, expecting them to open. Only a small icon on the side was interactive. That mismatch was tied to a drop in conversion of over 90% across thousands of abandoned sessions.
How can contact center agents see what a customer experienced before calling?
Connecting session replay and digital experience data with contact center workflows can give authorized agents visibility into the customer’s preceding digital journey. Agents can see which steps the customer completed, where errors occurred, and what may have prompted the call. With the right integrations and access controls, this context reduces the need for customers to repeat their experience and helps agents resolve issues more efficiently.
Glassbox Customer Insight: Unresolved friction pushed customers to call centers or chat. Form validation errors on a registration page caused 20% of dropping users to shift to customer service chat or the call center. Fixing the friction keeps users in self-service and could prevent 73,000 manual support interactions per year, nearly $1.5 million in annual operational savings at an industry benchmark of $20 per contact.
How can financial institutions use AI to understand customer behavior while maintaining governance?
Financial institutions can use AI to analyze customer behavior while maintaining governance by tying AI-generated insights to reliable behavioral evidence and enforcing appropriate access controls. Teams should be able to verify any finding against the underlying session, journey, and technical data. Integrating these capabilities with approved enterprise AI environments makes digital experience insights more accessible without giving up established governance requirements.
How can banks tell whether a migration or release hurt the customer experience?
Banks can verify a migration or release by monitoring journey performance before and after the change, flagging unusual shifts such as login failures or slower completion, and tracing those shifts to the affected sessions. That shows which customers were affected and what they experienced, so teams can prioritize fixes by customer impact rather than deployment status.
How can banks find accessibility barriers behind login?
Banks can find accessibility barriers behind login by scanning authenticated experiences directly rather than relying on public web crawlers, which cannot reach logged-in pages. Pairing scan results with session data shows how many customers a barrier affects, so teams can prioritize remediation and build a governance workflow around it.
Glassbox Customer Insight: Relying on web crawlers for accessibility compliance raises regulatory risk. A banking customer used Glassbox to scan its logged-in banking portal, an area public crawlers cannot access, and identified over 100 WCAG (Web Content Accessibility Guidelines) accessibility issues, including critical issues affecting 20,000 sessions. The scan led to a structured governance workflow to systematically reduce legal and compliance exposure.
Start with a moment that matters
The customer who tapped “Submit Payment” twice will not file a ticket about it. They will decide, quietly, how much to trust you.
Choose one critical journey: account opening, a loan application, or a payment. Where do customers struggle, and can your team see enough to help? Glassbox connects customer behavior with technical evidence so teams can find those answers and prioritize the improvements that protect customer confidence.
