In today’s banking landscape, customers hold the power. The reality is that most banks offer similar products and services, making customer care the key differentiator. When customers have questions about their accounts, they expect quick, accurate answers and the confidence that their data and money are secure. A single misstep—whether a slow response or incorrect information—can result in losing a customer for life.
For many financial institutions, the front line of customer service is now an AI agent, managing thousands of interactions daily. That’s why when it comes time for a bank or credit union to choose the right conversational AI solution, it's crucial that they take their time and do their due diligence. Not every AI agent is created equal, and banks need to look behind the curtains to find the technology that is purpose-built with their future already in mind. These AI agents need to be built by humans, for humans, and they should know your business better than you do. While numerous solutions promise innovation, only a select few can truly enhance customer-facing support and self-service capabilities in a secure, compliant, and meaningful way.
According to Deloitte, AI adoption is only going to continue to rise across industries. “In 2025, 25% of companies that use gen AI will launch agentic AI pilots or proofs of concept, growing to 50% in 2027. Some agentic AI applications, in some industries, and for some use cases, could see actual adoption into existing workflows in 2025, especially by the back half of the year,” Deloitte report on Agentic AI. Bad actors are inevitable, which makes the points above even more important. The wrong solution could damage a brand irrevocably,
The adoption and advancement of conversational AI are moving quickly, with customer expectations regarding self-service matching pace. Beyond the basic benefits of 24/7 support, every day of the year, chatbots are now capable of delivering new offers that make customer experiences outstanding. Generative AI has delivered a new generation of AI Agents that go far beyond answering high-level FAQs, delivering a level of personalized engagement that makes the human connection better. For financial institutions looking to automate service and support at scale, here are a few benefits AI agents are already delivering:
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Eliminate the barrier between a brand and its customers by providing instant, consistent responses.
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Interface with a customer's account to provide hyper-personalized suggestions regarding new and existing products and services, helping to increase sales and drive revenue.
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Free up employees to focus on high-value customer interactions by automating repetitive tasks
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Deploy automated omnichannel experiences for sales, service and support, freeing up resources without looking the context of customer needs.
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Create dynamic and memorable self-service interactions that bolster brand loyalty
For banks and credit unions, the incentive to adopt AI is two-fold, increasing revenue while also improving customer satisfaction. The question around conversational AI’s capability to deliver ROI has quickly shifted away from “if” to “when”, and boost.ai’s platform has proven it can deliver.
3 use cases for a banking or credit union chatbot:
Instant & personalized service
Deliver instant, accurate, and consistent answers to questions related to your bank's products and services to break down customer service and support barriers. By tapping into the power of Generative AI, AI agents can further optimize user-authenticated responses, providing a conversational experience that keeps customers engaged and improves customer satisfaction. Taking this one step further, banks and credit unions can implement proactive response flows, tailoring recommended next steps to the needs of individual customers, with a consistent improvement curve thanks to self-learning AI.
Take the heat off the contact center by assisting agents
By offloading high-frequency inquiries, both simple and complex, financial institutions can let their support teams focus on what they do best. By equipping live agents with an AI agent of their own, AI can help anticipate needs and improve the productivity of your customer service team, supercharging their capability to help customers navigate even the most complex inquiries. Beyond their daily responsibilities, internal-facing AI agents streamline operations and automate time-intensive back-office processes, such as document management, contract review, and even employee onboarding.
Automate core banking services
Whether it's opening a new account, reporting a lost card, checking account balance, processing mortgage payments, or any other core banking services, conversational AI gives your customers agency over process via a friendly, self-service interface without needing to involve a human operator unless they want to.
Across the global banking sector, gen AI could add between $200 billion and $340 billion in value annually, or 2.8 to 4.7 percent of total industry revenues, largely through increased productivity.
Client case study: SR-Bank
Challenge: Norwegian bank, SR-Bank, faced growing customer service demands and wanted to expand its digital capabilities while also reducing the costs associated with growing customer service needs.
Solution: SR-Bank deployed Banki, a digital banking advisor built on boost.ai’s conversational AI platform.
Result: AI Agents increased customer support capacity by approximately 150% without hiring new staff, handling over 23,000 conversations per month. SR-Bank is building out a roadmap for Banki to take on more utilitarian functions, such as helping customers with retirement plans and mortgages.
The benefits to your business are practically endless when you implement Agentic AI that not only grow alongside your business but actually help to grow your business itself. But don’t just take our word for it, read more about SR-Banks’s success with conversational AI, and many other happy boost customers on our website.