eLEND Partners With Ready4Remodel to Bring AI Into Renovation Lending

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Parsippany, New Jersey-based American Financial Resources, which does business as eLEND, announced that it is bringing artificial intelligence (AI) into the renovation mortgage process through a new partnership with Ready4Remodel, giving mortgage brokers and borrowers technology designed to visualize potential home improvements, estimate renovation costs and consider those expenses while financing options are being evaluated.

Through the agreement, eLEND’s partners and their borrowers will have access to Ready4Remodel’s AI-powered renovation technology. The platform creates before-and-after visualizations, provides property-specific renovation cost estimates based on different budgets and helps borrowers understand how a proposed project could affect their monthly payment.

For renovation lending, that addresses a problem that begins well before underwriting.

Buyers generally understand what they see when they walk into a finished home. A property requiring substantial work is different. An outdated kitchen, unfinished basement or aging bathroom may represent an opportunity, but buyers still have to determine what the work could cost, what the finished property might look like and whether the purchase and improvements fit within their budget.

That uncertainty can cause otherwise viable properties to be eliminated before a buyer seriously considers financing them.

Ready4Remodel is intended to move some of those decisions earlier in the process.

According to the companies, AI-powered visualizations help borrowers explore what a property could become, while property-specific estimates provide a clearer picture of potential renovation costs. Payment calculations are then designed to help borrowers understand how those costs may affect the financing.

For eLEND’s mortgage broker and real estate partners, the technology creates another way to introduce renovation financing before a buyer dismisses a property because of its current condition.

Instead of asking someone to imagine what an older home might become, a mortgage or real estate professional can potentially give the buyer more information about the property’s possibilities, estimated improvement costs and financing implications earlier in the homebuying process.

That could become increasingly useful in a housing market where buyers do not always have the luxury of finding a home that checks every box on the day they move in.

Renovation financing exists in part to bridge that gap. Programs such as FHA’s 203(k) mortgage and Fannie Mae’s HomeStyle Renovation mortgage can allow qualified borrowers to finance eligible renovation expenses in connection with a home purchase or refinance, subject to their respective program requirements.

The process can nevertheless be more complicated than a standard purchase mortgage.

Depending on the loan and scope of work, a renovation transaction can involve contractors, project estimates, plans, property valuations, draw procedures and post-closing construction in addition to the documentation normally associated with a mortgage.

For a borrower who has never undertaken a significant renovation, the difficulty can begin before any of that paperwork exists.

The buyer first has to decide whether the property is worth pursuing.

That is the point in the process where eLEND and Ready4Remodel are attempting to use AI.

The technology does not replace a contractor’s actual proposal, an appraisal, mortgage underwriting or the requirements of the applicable renovation loan. A technology-generated estimate should not be treated as a final construction contract or a guarantee of what a completed project will cost.

Its potential value comes earlier: helping borrowers understand what may be possible and what the financial implications might look like before they commit substantial time and money to a transaction.

That distinction matters as artificial intelligence spreads throughout mortgage lending.

Much of the industry’s early adoption has focused on making existing processes faster. AI and automation are increasingly being used to organize documents, communicate with borrowers, manage leads, support underwriting and reduce repetitive work.

Consumers may benefit from those systems without ever interacting with the underlying technology.

Ready4Remodel puts AI much closer to the consumer’s actual property decision.

That makes the partnership noteworthy beyond the two companies involved. The technology is being used not simply to process a mortgage more efficiently after a borrower has selected a home, but to help that borrower evaluate whether a home requiring work should be considered in the first place.

There is a potential benefit for real estate professionals as well.

Properties requiring visible improvements can be harder to sell because buyers often have difficulty estimating renovation costs. Some will assume a project is more expensive or complicated than it really is. Others may underestimate what will be required.

Better information can help in either direction.

A buyer who discovers that an anticipated renovation is beyond the household’s budget may be able to walk away before spending money on inspections, appraisals and other transaction costs. Another buyer may discover that a home initially dismissed because of an outdated interior could become workable when renovation and financing options are considered together.

For mortgage brokers, the opportunity is to connect that property decision with financing earlier.

eLEND said it is financing access to the Ready4Remodel platform for its partners and their borrowers. The lender described the investment as part of a broader effort to use technology and AI to simplify the mortgage process and help its partners generate additional opportunities.

The ultimate value of the partnership will depend on what happens after borrowers begin using the technology.

AI can produce an attractive visualization. What matters in a mortgage transaction is whether the information helps the borrower make a better decision, whether realistic project costs can be established and whether financing can ultimately be structured within the borrower’s means and the loan program’s requirements.

That is a considerably higher bar than producing a remodeled image on a screen.

But it also points toward where housing technology may be headed.

For years, much of the digital mortgage conversation centered on making the application faster. Increasingly, technology is reaching further upstream into the decisions consumers make before an application ever begins: which property to pursue, what improvements it needs and how those choices fit into the household budget.

In a market where buyers are frequently compromising on price, size, location or condition, that could matter.

The right home for a particular buyer may not be the property that is already finished exactly the way that buyer wants it.

It may be the home the buyer can afford to purchase, improve and make their own.