Consumers Are Already Connecting Their Bank Accounts to AI: What Financial Institutions Need to Know

By Ben Udell, Founder of Ben Udell Consulting

While banks and credit unions continue debating whether customers should be allowed to enter financial data into Microsoft Copilot, ChatGPT and other generative artificial intelligence tools, consumers are already moving ahead.

Today’s AI platforms can analyze financial information, identify spending patterns, compare alternatives and provide personalized guidance at a speed that many traditional banking tools and advisory services cannot match. The longer financial institutions debate how to respond, the more consumers will make these connections independently.

This shift creates an important question for banks and credit unions: Are they focused solely on controlling the use of artificial intelligence, or are they also preparing to meet the changing expectations of customers and members?

Consumers Can Already Connect Their Accounts to AI

OpenAI’s personal finance experience within ChatGPT connects consumers with more than 12,000 banks, credit unions, card issuers, brokerages and other financial institutions through Plaid. Many financial institutions are likely already included in that network, whether or not they have actively participated in the process.

For consumers, connecting an account is relatively straightforward. They can ask ChatGPT for step-by-step instructions, select their financial institution, sign in through the familiar Plaid process and approve access. The connection may take only a few minutes.

Once the accounts are linked, consumers can use AI as an always-available financial research and planning assistant. It can review transactions, evaluate recurring expenses, model financial decisions and answer follow-up questions at any hour.

Why Consumers May Turn to AI for Financial Guidance

Traditional banking teams may raise legitimate concerns about AI-generated financial guidance. However, those concerns do not eliminate the reasons consumers are adopting these tools.

• AI can make mistakes. Generative AI is not infallible. However, human employees can also make errors, and they may not have a complete view of a customer’s financial life. A banker typically sees only the accounts held at one institution and may have limited information about outside debts, investments, income or household goals.
• Customer trust is not guaranteed. Consumers may value their financial institution, but that does not mean they have a deep advisory relationship with a frontline employee. Staff members often manage hundreds of relationships, leaving limited time for personalized financial planning.
• AI adoption is growing quickly. Many consumers are already using generative AI for work, research, shopping and personal organization. Although concerns about privacy, accuracy and security remain, users are discovering that a few well-written prompts can produce insights that are difficult to obtain through conventional banking channels.

These objections are important, but they are often raised by people who have not personally tested AI with a realistic financial scenario. Once consumers experience how quickly the technology can analyze information and respond to follow-up questions, their expectations may change permanently.

What Consumers Can Ask AI to Do With Their Financial Data

When connected to financial accounts, generative AI can help consumers explore questions that once required a meeting with a banker, financial planner or analyst. For example, a user could ask AI to:

• Review the previous 12 months of transactions, identify subscriptions and recurring expenses, flag possible duplicate charges, rank them by cost and suggest areas where spending may be reduced.
• Analyze checking account balances and recommend how much money should remain available as a cash cushion before moving excess funds into a higher-yield account.
• Compare current interest rates with other products available from the same institution and identify potentially more competitive options in a specific local market.
• Find unnecessary fees, below-market returns or excess cash balances, then draft an email requesting fee refunds or presenting a case for moving to a competing provider.

These prompts are easy to use, but their potential impact is significant. Each one can lead to a longer conversation in which AI asks questions, evaluates alternatives and helps the consumer prepare for a discussion with a banker.

AI Can Create Personalized Financial Tools

Generative AI is not limited to written answers. It can also create visual reports, calculators and interactive planning tools.

For example, a consumer could ask ChatGPT to review spending categories and create a dynamic infographic showing how cutting subscriptions or reducing discretionary expenses could affect savings over one or three years. In a short period of time, the platform may produce a personalized spending analysis that demonstrates the long-term effect of everyday decisions.

Most bank and credit union applications still provide basic charts and transaction summaries. They generally do not offer a customized website or interactive model that shows how specific spending changes could influence future savings.

Other AI tools are expanding these capabilities. Microsoft Copilot has added powerful features within Excel, while Claude is available through an Excel plugin. A consumer could use a personal financial statement and ask AI to build a second-home affordability worksheet covering:

• Income and current monthly expenses
• Available cash and funding sources
• Estimated carrying costs for a second property
• Maximum purchase price based on cash flow and closing funds
• Principal and interest payments at a target price
• Front-end and back-end debt-to-income ratios
• Updated household cash flow after including the second home
• Clearly labeled assumptions and formula-driven calculations

Creating this type of analysis manually could require significant time and technical knowledge. AI can produce a first version in minutes, giving consumers a starting point for evaluating major financial decisions.

Convenience Is Changing Consumer Expectations

Consumers are often told to schedule an appointment with a trusted financial professional when they have complex questions. That advice assumes the consumer has the time, confidence and motivation to make contact during business hours.

In reality, many financial questions arise after work, while preparing dinner, managing children or relaxing at home. At those times, a banker may not be available. An AI tool can respond immediately, provide calculations, explain unfamiliar concepts and answer unlimited follow-up questions without making the user feel uncomfortable.

AI-generated answers will not always be accurate. OpenAI makes clear that ChatGPT is not a fiduciary, financial adviser or tax preparer. Consumers still need to verify important information and seek qualified professional advice when appropriate.

However, these warnings are unlikely to stop adoption. The convenience, speed and personalization of AI are powerful advantages, and the technology will continue to improve.

The Strategic Risk for Banks and Credit Unions

Generative AI can now analyze financial circumstances, create budgets, research options, model decisions and present information in a format tailored to the user. If financial institutions do not respond, their role may be reduced to holding deposits and issuing loans while other platforms provide the planning and guidance customers value most.

The issue is not simply whether a bank should allow employees or customers to use AI. The larger concern is whether the institution understands how customers are already using these tools and how that behavior may affect loyalty, deposits, product relationships and financial advice.

Two Actions Financial Institutions Should Take Within 90 Days

1. Establish a governed AI strategy for employees

Banks and credit unions should determine how employees can use generative AI with appropriate safeguards for institutional and customer information. Clear policies, approved tools, training and data controls are essential.

Employees should understand the technology well enough to use it responsibly and to help customers navigate AI-generated financial information. If customers are experimenting with AI while employees are prohibited from learning about it, the institution risks falling behind the people it serves.

2. Test the experience personally

Executives and leadership teams should use generative AI directly. Those who are comfortable doing so can connect personal accounts, test financial prompts, ask follow-up questions and challenge the system’s conclusions.

Hands-on experience can reveal what AI does well, where it fails and how quickly it may influence customer behavior. It also helps leaders understand what consumers will expect from their bank or credit union in the future.

The Bottom Line

Financial institutions cannot create a successful customer strategy around an experience their leadership teams do not understand.

If generative AI can analyze a household’s financial situation, model potential decisions and recommend next steps, banks and credit unions must rethink how they deliver financial guidance. Internal debates about privacy, governance and risk remain necessary, but they cannot become an excuse for ignoring consumer behavior.

Customers are already experimenting with AI-connected financial accounts. The institutions that learn how to participate responsibly may strengthen their relevance. Those that wait too long may find that consumers have already found other sources for the advice and insight they once expected from their financial providers.

Source: TheFinancialBrand.com