Data Accuracy Concerns for AI — NOT an Issue with Check Processing
- AI is transformative for the banking industry
- Barriers to adoption include trust and data
- Many banks are unaware that they are already leveraging AI
Artificial intelligence (AI) is transforming the banking industry, offering innovative solutions to improve customer experiences, streamline operations, and enhance risk management.
However, trust and data accuracy remain significant barriers to widespread adoption. A recent survey by American Banker sheds light on how financial institutions are leveraging AI and the challenges they face.
Key Findings from the 2025 Data-Driven Bank Survey
American Banker surveyed 130 leaders from banks and credit unions to understand their AI adoption strategies. Here are the highlights:
- Top AI Use Cases:
- Risk and Compliance: 59% of respondents are integrating AI tools to reduce administrative burdens and enhance predictive insights.
- Financial Analysis and Modeling: Nearly half (49%) are using AI to improve financial forecasting.
- Human Resources Analytics: 48% are deploying AI for workforce planning and talent management.
- Fraud Detection: National banks see fraud detection as the area where AI will have the most impact in the next 12 months.
- AI Technologies in Use:
- Chatbots: 69% of national banks have fully integrated AI-powered chatbots to improve customer service and reduce operational costs.
- Biometrics: Facial and voice recognition technologies are widely adopted, with 63% of national banks using them.
- Document processing: 39% of banks utilize AI to automate the processing of paper documents
- Other tools include predictive analytics, robotic process automation, and virtual assistants.
- Data System Challenges:
- While most institutions report their data systems are adept at capturing relevant data, community banks and credit unions face more challenges with precision and accuracy.
- Trust issues over the security of customer data handled by AI platforms are holding back deeper adoption.
AI is expected to revolutionize retail banking in areas such as fraud detection, regulatory compliance, customer service, and personalization. For example, tools like Bank of America’s "Erica" and Capital One’s "Eno" demonstrate how conversational AI can enhance customer experiences by providing instant support and 24/7 availability.
AI has the potential to bridge gaps in data systems, enabling banks to surface insights at scale and anticipate customer needs. Institutions that embrace AI’s predictive capabilities will be better positioned to engage with customers meaningfully and stay ahead in the competitive landscape.
Are More Banks Leveraging AI Without Knowing?
What many banks may or may not be aware of is the fact that they are leveraging AI technologies in more facets than they possibly know.
What do we mean?
Well, banks leverage different fintech vendors to perform tasks and processing -- including automating check deposits. While they are not deploying the technology directly, these vendors are leveraging AI to read and extract the data off of checks. Most importantly, these technologies are achieving accuracy and read rates of over 99%, enabling banks to fully automate the process and reduce the anxiety of data accuracy.
So, while banks may not realize it, there are a large number of tasks and processing that are already being automated with the use of AI.