We Asked AI How to Build the Perfect Lending Company
Artificial intelligence is changing the lending industry, but what would happen if you asked AI how to build the perfect lending company using AI?
We did exactly that.
The recommendations were interesting because AI didn’t suggest automating everything or replacing an entire team. Instead, the advice centered around strategically introducing AI, connecting technology through APIs, using automation to scale, and understanding potential compliance requirements before moving forward.
Here are some of the biggest takeaways.
1. Don’t Inject AI Into Every Part of Your Lending Company
The first recommendation is simple: start small.
AI is evolving incredibly quickly, and attempting to implement it across every aspect of your lending operation at once may create more complexity than value.
A direct lending company already has established processes. You may have a risk model, underwriting procedures, workflows, document requirements, borrower communications, and other steps that need to happen before funding.
Instead of trying to replace all of those processes with AI, identify specific areas where AI can provide immediate value.
That could include analyzing documents, communicating with customers, gathering information from the web, summarizing data, or helping employees find answers more efficiently.
Think of AI as a tool that can fill gaps within your existing operation rather than something that needs to completely redefine your company overnight.
Start with a few use cases, determine what works, and expand from there.
2. Use APIs to Connect Your Technology
The second recommendation from AI was to take advantage of APIs. Centrex API
An API, or Application Programming Interface, can essentially act as a digital bridge between different software platforms. Just as a physical bridge connects two places separated by a river or other obstacle, APIs allow different pieces of technology to exchange information.
This becomes particularly valuable when combined with AI.
An AI-powered workflow can potentially use APIs to retrieve information from different platforms, analyze that information, and then send data to another system as part of a larger automated process.
For lending companies operating with multiple pieces of technology, this connectivity can become incredibly important.
Your CRM, loan origination software or loan servicing platform, third-party vendors, communication tools, and other applications may all contain information needed to complete a particular workflow. APIs provide a way for those systems to communicate.
Security, however, should remain a priority. API credentials and keys should be properly protected to prevent unauthorized access to company systems and data.
3. Use AI to Help Your Lending Company Scale
AI also emphasized something important: don’t assume AI can replace your entire team.
A lending company may still need underwriters, processors, accountants, sales representatives, compliance professionals, and other employees to operate effectively.
Where AI becomes particularly interesting is its potential to help those people accomplish more.
Imagine starting with a relatively small core team. As your lending operation grows, AI and automation can potentially help that team process information, complete repetitive tasks, communicate, and manage workflows more efficiently.
Instead of immediately adding employees every time volume increases, technology may help your existing team handle additional capacity.
There will still be limitations. At some point, additional growth may require more human involvement and expertise. The goal isn’t necessarily to eliminate people from the process. It’s to determine how far technology can help your existing team scale before additional resources become necessary.
4. Know Before You Go
The final recommendation focuses on preparation.
Depending on where and how your lending company operates, there may be federal, state, provincial, or other regulatory requirements that apply to your business and the financial products you offer.
AI can be useful as an early-stage research tool for identifying questions that need further investigation.
For example, you might ask AI about common mistakes made by new lending companies, potential considerations surrounding a particular financial product, or areas of compliance that should be researched before launching in a particular market.
Think of this as a pre-mortem: rather than waiting until something goes wrong, ask what commonly goes wrong before you begin.
AI may help identify potential areas of concern, but regulatory and legal information generated by AI shouldn’t replace qualified legal or compliance professionals. Instead, it can help your team identify questions to bring to those experts and areas that deserve additional attention.
Building a Smarter Lending Company With AI
So, what does the “perfect” AI-powered lending company look like?
Interestingly, the answer isn’t a company run entirely by artificial intelligence.
It’s a company that uses AI strategically.
Start small and implement AI where it solves a real problem. Use APIs to connect the different technologies throughout your lending ecosystem. Give your existing team AI-powered tools that can help the organization scale. And use AI to identify questions, risks, and potential challenges before they become larger problems.
AI is moving quickly, which makes flexibility especially important. Instead of attempting to automate your entire lending operation immediately, build gradually and determine where the technology provides the greatest value.
The future of lending may not be humans versus AI. It may be lending teams learning how to use AI more effectively.
