AI seems to be everywhere these days.
Since ChatGPT was first released less than four years ago, millions of people have leveraged the power of generative AI in their personal and professional lives.
Individuals use popular AI platforms like OpenAI’s ChatGPT, Anthropic’s Claude, and Google’s Gemini daily to plan vacations, draft term papers, and update their resumes. The technology has become ubiquitous in business, as well, across every industry and sector.
The risk management profession isn’t immune from the artificial intelligence takeover.
According to a recent LightBox survey of environmental professionals across the U.S., nearly half (47%) regularly use AI in their work. Additionally, 3 in 10 (31%) are testing the use of AI for environmental site assessments (ESAs) or related tasks. A strong minority (43%) rely on publicly available large language models (LLMs) like Claude or ChatGPT, whereas a smaller percentage (21%) have begun using custom enterprise or private AI models.
Despite the industry’s rapid adoption of AI for certain tasks, its growing use is raising some serious red flags. The top concerns cited by survey respondents include output accuracy and reliability (83%), legal liability (61%), and data security and privacy (46%).
In the banking and risk management industries, AI clearly has great potential to deliver operational efficiencies and productivity gains. But is it ready for its closeup?
Don’t cut corners with AI
Today, it’s tempting to “outsource” certain tasks to AI. The technology has the capability of absorbing massive amounts of information contained in large document files like ESAs, appraisals, and borrower financials. But without proper oversight and validation, this can be a recipe for disaster.
Recently, a busy lender was confronted with a large influx of SBA deals. To help manage this uptick in volume, they decided to use generative AI to compare the environmental reports against the SBA’s latest Standard Operating Procedures (SOP). Satisfied with the results, they submitted those environmental reports to the SBA as part of the loan packages for approval.
Unfortunately, the SBA rejected several of the environmental reports due to lack of compliance with the SOP. The lender reached out to ORMS in a panic, and we were able to help them properly evaluate the environmental reports and repackage the loans. In the end, the SBA did ultimately approve most of the deals.
Why you can’t rely on AI for environmental due diligence
As the above example demonstrates, it doesn’t pay to cut corners with AI. When it comes to prudent risk management, nothing replaces human expertise and experience. Here’s why:
As smart as it is, AI will never be able to replicate the authentic human relationships we have with our clients, and you have with your borrowers. People are at the heart of our industry, and that will never change.
People are central to all we do
AI is a powerful technology with great potential to deliver cost savings and operational efficiencies to our industry. But it’s essential that we keep humans connected to the process.
At ORMS, we have always focused on serving our clients with speed, accuracy, expertise, and reliability. We continuously evaluate the latest technology and tools to support our mission, and we will continue exploring AI and other emerging technologies in order to keep providing the best service in the business.
AI isn’t a replacement for human experience, expert knowledge, and personal service. At ORMS, we offer relationship-based outsourced risk management services designed to meet your unique needs. Visit orms.com to learn more about our risk management services and how we can support your growth.