What Happens After Someone Applies Using AI?

Have you ever wondered what happens after a borrower clicks “Submit” on a loan application?

Traditionally, submitting an application is just the beginning of the lending process. Lenders and brokers still need to collect information, review documents, verify borrower details, and communicate the next steps.

But with artificial intelligence and automated lending technology, much of that process can now happen automatically.

From gathering additional borrower information to analyzing industry trends and sending personalized communications, AI is transforming what happens after someone submits a loan application.

Let’s explore a few ways lenders and brokers can use AI to streamline the process.

1. Collecting Borrower Information Through an Online Application

Before AI can begin working behind the scenes, the first step is gathering the right information from the borrower.

At Centrex Software, we offer a comprehensive website form builder that allows lenders and brokers to collect important borrower information directly through their websites.

Depending on how the application is configured, businesses can integrate features such as:

• Credit report pulls
• Plaid integrations for financial account connectivity
• Bank statement uploads
• Identity verification
• Background checks
• Document collection
• Underwriting-related data collection

The application builder allows lenders and brokers to collect information and perform certain verification and underwriting steps throughout the application process.

But what happens once the borrower completes the application, signs the necessary documents, and clicks submit?

The answer depends on what you want your lending software to do next.

With AI and workflow automation, lenders can customize the next steps based on their business needs.

2. Using AI to Research and Enrich Borrower Data

One of the most valuable applications of AI in lending is its ability to gather and analyze additional information about a borrower or their industry.

For example, imagine your online application asks a business owner to identify the industry in which their company operates.

Once the borrower submits the application, an AI-powered workflow could automatically begin researching that industry.

Using AI tools such as Anthropic’s Claude, lenders can gather publicly available information and enrich the borrower data already stored in their CRM or Loan Origination System (LOS).

This research could include:

• Recent industry trends and market conditions
• Potential legal or regulatory developments
• Industry growth or decline over recent quarters
• Economic factors affecting businesses in that sector
• Other relevant information that may influence lending decisions

For example, if a borrower operates in an industry experiencing significant financial challenges, AI could identify potential concerns that deserve further review.

Alternatively, if an industry is experiencing strong growth, that information could provide additional context for the underwriting team.

Rather than manually researching every borrower’s industry, lenders can use AI to gather relevant information and organize it within their software platform.

This gives underwriting teams additional insights to consider when evaluating a loan application.

Of course, AI-generated research should be verified before it is used in lending decisions.

3. Automating Data Collection From Third-Party Vendors

Another powerful application of AI is automated data collection and analysis.

Lenders and brokers often rely on multiple third-party vendors to gather the information necessary to evaluate borrowers.

Traditionally, this process may involve accessing different platforms, requesting information, downloading documents, and manually reviewing the results.

With AI-powered workflow automation, many of these steps can be connected into a single process.

At Centrex Software, we offer Centrex Automate, a self-hosted workflow automation solution built on n8n with the Centrex API integrated into the platform.

This allows lenders and brokers to create customized workflows that connect with third-party vendors, retrieve information, and analyze data.

For example, when a borrower submits an application, an automated workflow could:

1. Trigger automatically when the application enters the system.
2. Connect with selected third-party vendors to retrieve additional borrower information.
3. Bring the collected data into the lending software platform.
4. Use AI to analyze the information and identify relevant details.
5. Generate a summary of the findings, including potential recommendations for further review.

Instead of requiring employees to manually complete each step, the workflow can handle much of the information-gathering process.

This allows lenders and brokers to receive a more complete picture of the borrower while reducing administrative work.

4. Sending Automated, Personalized Borrower Communications

AI isn’t just changing how lenders collect and analyze information. It’s also improving how they communicate with borrowers.

Once an application is submitted, borrowers often have questions about what happens next.

They may want to know whether their application was received, what additional documents are required, or when they can expect an update.

With AI-powered communication tools, lenders can automatically generate personalized emails and text messages based on the information collected during the application process.

For example, after reviewing a submitted application, an AI-powered workflow could generate a message that:

• Confirms the application was successfully received.
• Explains the next steps in the lending process.
• Requests additional documentation if needed.
• Provides relevant information about the application.
• Sets expectations for upcoming communications.

Rather than sending the same generic message to every borrower, AI can help create communications tailored to each applicant’s situation.

This can improve the borrower experience while reducing the amount of time employees spend manually responding to routine questions.

The goal is to make borrower communication faster, more relevant, and more efficient without removing the human element from the lending process.

5. Creating a Better Experience for Borrowers and Lending Teams

One of the biggest advantages of combining AI with lending software is the ability to create a more connected experience for everyone involved.

For borrowers, this means receiving timely updates, clear instructions, and a more streamlined application experience.

For lenders and brokers, it means reducing repetitive tasks, improving access to information, and helping employees focus on activities that require human expertise.

Instead of manually collecting data, reviewing documents, researching industries, and sending follow-up messages, lending teams can use automated workflows to assist with these responsibilities.

This doesn’t mean every part of the lending process needs to be automated.

Rather, AI gives lending companies the flexibility to determine which processes make the most sense to automate based on their existing operations.

Some organizations may choose to start with automated borrower communications, while others may prioritize document analysis, third-party data collection, or underwriting support.

The possibilities depend on the company’s goals, technology, and workflow requirements.

The Future of AI-Powered Loan Applications

So, what happens after someone applies for a loan using AI?

The answer is that the process can be customized to fit the needs of your lending business.

From enriching borrower data and researching industry trends to collecting third-party information and sending personalized communications, AI creates opportunities to streamline nearly every stage of the post-application process.

With the right technology, lenders and brokers can create automated workflows that improve efficiency, reduce manual tasks, and provide a better experience for borrowers and internal teams.

At Centrex Software, our lending technology, website form builder, API integrations, and Centrex Automate solution give businesses the tools to build workflows that support their unique lending processes.

As AI continues to evolve, the question isn’t just what happens after a borrower clicks submit.

It’s what you want your lending software to accomplish next.

Learn more about Centrex Software and our lending technology solutions at www.centrexsoftware.com.