Is your bank ready to navigate the rapidly evolving world of artificial intelligence (AI)? AI is transforming industries worldwide, and banking is no exception. As AI technologies become more sophisticated, banks have unprecedented opportunities to enhance operations, improve customer experiences and stay ahead of the competition. However, amid the hype, it is crucial to approach AI thoughtfully to ensure positive outcomes for your customers, employees and other stakeholders. This article provides practical tips to help you navigate the complexities of AI adoption while safeguarding your bank’s reputation.
Identifying Opportunities for AI in Your Bank
We recommend starting with AI applications that are simple, safe and easy to implement. Instead of immediately tackling complex areas like lending compliance or advanced data analysis, begin with foundational uses that familiarize your employees with AI technologies.
Streamlining Internal Documentation with AI
Utilize AI tools to help create standardized documents such as Standard Operating Procedures (SOPs). This can enhance consistency and efficiency in your documentation process.
Enhancing Marketing Efforts
AI-powered assistants like Microsoft Copilot can assist in generating marketing materials tailored to your clientele. By providing insights and drafting content, these tools can help your marketing team create more effective campaigns.
Assisting with Vendor Due Diligence
Another practical application is using AI to streamline the evaluation of vendor due diligence documents, such as SOC 1 and SOC 2 reports. AI tools can quickly scan these lengthy documents to identify and extract key sections like Complementary User Entity Controls (CUECs). This not only saves time but also reduces the risk of overlooking critical information that could impact your bank’s security and compliance posture.
By automating the extraction and analysis of important details, AI can help your risk management or vendor management teams make more informed decisions when assessing third-party vendors. This ensures that your bank maintains high standards of security and compliance without overburdening your staff.
Proceeding with Caution on Customer-Facing AI
Currently, we advise against deploying customer-facing AI tools. These technologies are still evolving and may not reliably handle customer transactions. Moreover, many banks pride themselves on personal relationships, and introducing AI bots could risk undermining that connection.
Assessing Your Bank’s Readiness for AI
Preparing for AI integration involves focusing on three key areas: your strategy, your team and your regulators.
Your Strategy
This is critically important. If AI isn’t part of your bank’s strategic plan, it is premature to evaluate AI tools. Revisit your bank’s overarching vision and determine how an IT strategic plan incorporating AI can support it. Identify the problems, challenges and opportunities that AI can address.
This doesn’t have to be a lengthy process. Collaborate with your team to explore how AI fits into your strategic plan — it might take a day but doesn’t need to span six months.
Your Team
It is highly likely that some of your employees have experimented with AI tools like ChatGPT, which are readily accessible and free. Similar to security training, your team needs to understand appropriate uses of AI within your bank.
Educate employees and directors about the security implications, such as where information input into AI platforms is stored and how it might be used. Establish clear policies defining acceptable and forbidden uses to prevent unintended data breaches or compliance issues.
Your Regulators
Regulatory bodies have yet to issue firm guidelines on AI usage in banking. In the meantime, they rely on Vendor Due Diligence, questioning whether you understand how AI programs handle information and how vendors’ AI tools operate.
Refer to frameworks like the NIST AI Risk Management Framework for guidance. This resource offers valuable insights into implementing AI responsibly, mirroring how cybersecurity requirements often align with NIST’s Cybersecurity Framework (CSF). Click to access the NIST AI framework.
Should You Move Forward With AI?
We have only skimmed the surface of what bank leaders need to consider when implementing AI. While this article provides a starting point, navigating AI’s complexities requires dedicated time and expertise.
Partnering with experts like ImageQuest ensures you receive tailored guidance on AI developments and implementation strategies. We can assist you with:
- Using AI to improve operational efficiencies.
- Developing an IT strategic plan for the bank’s overall vision that includes AI.
- Identifying the problems, opportunities and challenges that AI tools can help.
- Drafting an AI-acceptable use policy or guideline document.
- Creating an AI pilot group.
- Completing Vendor Due Diligence.
At ImageQuest, we have the expertise to guide you through every step of AI integration. Contact us today to schedule a risk-free consultation and embark on a smart path toward integrating AI into your bank.
Final Thoughts
Embracing AI in banking requires a thoughtful and strategic approach. By starting with manageable applications and focusing on your bank’s readiness, you can unlock the benefits of AI while mitigating risks. Remember, your bank’s reputation is paramount — taking careful steps now will position you for success in the evolving landscape of AI.
Milton Bartley is co-founder, president & CEO of ImageQuest, an Information Advisory Services and Managed IT firm headquartered in Nashville, Tennessee. Milton has more than 25 years of experience assessing and mitigating risks for regulated organizations. As the world’s threat landscape has changed over the last two decades, Milton’s direct industry experience has positioned him and ImageQuest to support risk management and IT compliance & governance programs for organizations in a cross-section of industries. Mr. Bartley can be contacted at mbartley@imagequest.com.