What’s missing in banks’ AI efforts: Real financial help

AI is fast becoming the front door to banks. When customers need help, they will soon be more likely to start online than at a branch.

As industries worldwide moved to adopt agentic AI, the financial services sector emerged as a leader. The technology is ubiquitous in every capacity, from customer service to marketing, fraud management, compliance, and productivity: more than 50% of industry executives report using AI agents across organizations.

So, how well are they working?

At SpringFour, we decided to put bank AI agents to the test. We interacted with AI chat agents at major banks with simple, human needs: “I can’t pay my bills.” “I need help with rent.” “Where can I find financial assistance?” 

The results were disappointing. We were redirected to bill payments, sent to account FAQs, or given answers that missed the point of the query altogether. 

When someone says they can’t pay their bills, they’re not asking how to schedule a payment. They’re seeking help, and the quality of response can make or break the relationship between a bank and their customers. Data from Deloitte suggests there’s a significant trust gap. Just over a quarter of respondents say they trust the technology for financial advice. This is because interactions often leave customers with extra steps and unanswered questions.

Not only do these AI interactions leave bank customers feeling frustrated and unheard, they’re also representative of a major missed opportunity.

The gap in today’s AI experiences

A truly responsive AI agent should go beyond the basics to provide immediate assistance and an actual solution to the user’s inquiry. 

According to one recent study, customers rank financial wellness as a top life priority — even higher than health and family relationships — and 84% say they would be motivated to switch banks if it meant they’d receive timely, relevant financial insights. When the information is easily accessible, it’s even more attractive. Consumers can find resolution without human interaction, bringing efficiency and cost-savings to banks. 

With SpringFour’s verified, low-risk data-powered digital tools and agentic AI integration, this is possible in a way that delivers great outcomes for customers and solves the governance challenge for businesses.

Across the industry, AI agents are optimized for efficiency, not meaningful assistance. About 93% of consumers say they prefer interacting with a human instead of AI. Though the virtual agents deliver on convenience, they lack personalization, which includes the ability to provide actionable next steps for financial assistance.

When someone asks for help with paying their mortgage, the system has nowhere meaningful to send them. Why? Because most institutions haven’t built — or can’t maintain — a real-time network of financial assistance resources. They may not even realize it’s something customers want to see.

That work is complex. It requires constant vetting and updating, so it gets deprioritized, leaving customers no closer to improving their financial health.

But there’s a better way. When done right, AI can deliver real assistance at the exact moment it’s needed most. It can offer compassion, reduce friction and shame, and shorten the time it takes customers to get back on track. Best of all, it can do these things instantly, at scale.

What AI-driven financial support looks like

The infrastructure to make this happen already exists. SpringFour maintains a secure, structured data source that’s consistently-updated with vetted nonprofit and government financial assistance programs — localized by ZIP code and organized by real life needs.

When embedded into AI, SpringFour’s digital tools instantly connect customers to relevant, vetted resources from trustworthy organizations, and they don’t get lost in a sea of generic advice, hallucinated content, dead ends, and unscrupulous actors. For teams, adopting SpringFour’s solution is decidedly low-risk, doable with very little tech support, no personal identifiable information (PII) required, and it can be deployed in fewer than 21 days.

There is a clear business case for getting this right. When people receive help more quickly, they stabilize faster, leading to reduced delinquency and improved repayment rates. Plus, they feel positively about the organizations that provided them with assistance — leading to better customer retention. 

Despite the sector’s tendency to approach business from a transactional lens, we know that empathetic, compassionate banking drives value through increased customer understanding  and loyalty. It’s what customers miss most when interacting with AI chatbots.

Delivering real assistance through AI is therefore a winning combination. Teams save time by making work more efficient for human agents and as a result, retain customers, decrease missed payments, reduce delinquency, solve the governance challenge, and see better performance overall.

Now is the time for on-demand AI that responds with real-life solutions

In 2025, around 70% of financial institutions were deploying agentic AI in some capacity – a number that’s only expected to grow. At the same time, consumers are experiencing new levels of distress, with a lack of savings safety nets, a worsening affordability crisis, and rising delinquencies. 

There’s no doubt that AI agents are already speaking for banks; the real question is whether they’re actually helping. Financial assistance doesn’t have to be complicated. It needs to be available. 

SpringFour is poised to transform the sector with AI agents that provide meaningful responses and meaningfully address customer needs in real-time. It’s critical that financial institutions start empowering their customers with financial health. The future of AI in banking isn’t just in smarter answers. It must deliver better outcomes for all.