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Your mortgage likely cost $11,500 to originate—and reams of paperwork. How Salesforce Agentforce is helping improve the process

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The Fed lowered interest rates recently for a third consecutive time and the second time in two months. The move signaled easing financial conditions that are likely to trigger a surge in the demand for mortgages across the country — particularly in regions where there have already been signs of a housing rebound. 

But the higher volume will also undoubtedly present a challenge to financial institutions, if they are bound by legacy technology. Too much of the mortgage technology still used by many banks and other lending institutions isn’t designed to keep up with increased demand. Nor are these outmoded systems able to improve profit margins for lenders. A recent Freddie Mac study indicated that as recently as this summer, mortgages still regularly cost, on average, more than $11,500 for a lender to originate. 

And so, the mortgage market is ripe for innovation. Salesforce supports banks and lenders by helping them bring together customer data including borrower profiles, loan details, and interactions, with AI built in to help teams work more efficiently and better support borrowers.

In conversations with our mortgage customers and industry leaders, we’re seeing growing interest in AI agents — autonomous systems that can take action on tasks. This agentic approach will empower lenders to rethink the entire mortgage process, turning the loan lifecycle from a slow, paper-intensive gauntlet into a streamlined digital journey. Embracing AI agents can also redefine the entire value chain, from property valuation and listing to lending and long-term asset management.

As someone who served as an executive in the Federal Housing Administration within the U.S. Department of Housing and Urban Development (HUD) during the aftermath of the 2008 financial crisis, I now often wonder if aspects of that mortgage-based calamity could have been mitigated if the industry had access to agentic AI in the functional areas of quality control and risk and fraud management back then.

Today, agentic AI offers a level of visibility that simply didn’t exist back then—providing the real-time insights that allow lenders to better support borrowers and ensure they are in the best possible financial position from the start.

Agentic applications

There are many banking and lending benefits to agentic AI.

Let’s start with one of the most basic — automation. A significant portion of lending involves rote tasks which account for a significant portion of the mortgage process, including the collection and assimilation of data such as bank statements, pay stubs, and property details. Agentic AI can automate this work drastically reducing the time it takes to process and underwrite a loan. This efficiency drives down the cost of originating a loan, a critical metric for any lender.

Another benefit comes in proactive risk management. Agentic AI excels in this area by providing automated underwriting and sophisticated risk modeling to catch potential issues early in the lending process. By analyzing vast amounts of borrower data and property values in real time, AI systems can spot patterns, flag anomalies (such as undisclosed payments on a bank statement), and make informed lending decisions faster than traditional and manual methods. This technological capability not only protects the lending institution but also imbues a sense of urgency that helps keep things moving. 

The impact of AI, of course, extends beyond the lending back office and into the heart of the property transaction itself, transforming how assets are valued, marketed, and managed. The traditional slow and often subjective property appraisal process is being revolutionized by AI-driven automated valuation models (AVMs). These use machine learning to analyze thousands of data points in seconds, drawing from MLS records, tax rolls, deeds, and unstructured data such as property photos and listing descriptions. 

For real estate professionals, AI-powered systems can generate high-quality and engaging listing descriptions, optimizing them for search visibility and providing personalized property recommendations to buyers by analyzing buyer preferences and behavior.

There’s a customer service aspect to AI, as well. Many inbound customer inquiries come through lenders’ websites. Yet, if the responses depend entirely on overworked human customer service agents, many of these leads go unanswered. By managing and rerouting these inquiries with agentic AI, organizations can ensure that no potential customer is ignored. 

Customers for life

The real business opportunity with agentic AI in the lending industry comes in the area of intelligent indexing, or what some might call the “contextual cross-sell/upsell.” This begins with the mortgage application and incorporates other data into a golden record of customer experience. 

Consider all the disparate data about a customer that a full-service financial institution has about a customer. A cloud-based AI platform that aggregates all this information and makes it accessible to AI agents can digest data and proactively recommend products or opportunities to expand that customer’s relationship with the lender.

In some cases, this might mean recommending a customer toward another mortgage product such as a home equity line of credit. In others, it might mean suggesting to that customer an entirely different financial endeavor such as a 529 account if a young family wants to start saving for their children’s college tuition, or a life insurance product to ensure a family is protected in times of crisis. 

This proactive service transforms loan officers from paperwork processors into financial-service concierges — professionals who are focused on strategic relationship-building and turning mortgage applicants into customers for life.

Rising to the Challenge

Of course, the agentic AI era is not without potential pitfalls – particularly in a regulated industry like housing

The first challenge: Overcoming the spectre of bias. The use of AI in lending decisions, AVMs, and tenant screening must be subject to rigorous guardrails to prevent discrimination and the perpetuation of historical biases embedded in training data. 

Lenders must be able to explain how AI models arrived at a decision, a key regulatory piece known as explainability. This concept dictates that AI serves primarily in an assistive capacity, ensuring that a human remains in the loop for critical decisions like final underwriting, where judgment and empathy are irreplaceable.

If mortgage lending companies implement agentic AI across the organization — to become truly agentic enterprises — the industry could become one of the most effective AI use cases in the marketplace today. Housing and its related financial activities are ripe to become an agentic industry — an efficient, integrated, and predictive ecosystem where the intelligent use of data creates certainty for borrowers and a competitive advantage for businesses. 

Agentic AI technology – in conjunction with skilled humans in the loop – provides a transformative opportunity. Forward-thinking lending institutions will be brave enough to seize it.

The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of Fortune.



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Jim Beam halts production at key US distillery amid bourbon glut

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Bourbon maker Jim Beam plans to pause production at its main US distillery for all of 2026 after slumping demand caused an oversupply of whiskey. 

The brand, owned by Japanese alcohol giant Suntory Holdings Ltd., said it’s halting whiskey distillation at the James B. Beam campus in Clermont, Kentucky after an assessment of its production levels against consumer demand, according to a statement on Monday. 

The company plans to use the downtime to invest in site enhancements. Production will still continue at the smaller Fred B. Noe craft distillery in Clermont and the Booker Noe site in Boston, it added. 

Sales of bourbon have slowed as consumers rein in spending and drinking, and as uncertainty over the impact of US President Donald Trump’s tariffs and taxes on aging barrels weigh on the sector, the Kentucky Distillers’ Association said in October. There are about 16.1 million barrels — a record — of bourbon aging in warehouses in Kentucky as of January, though most won’t be ready to bottle until after 2030, the association said.

Jim Beam, which employs about 6,000 people worldwide, did not announce layoffs. Bottling and warehousing operations will continue at the brand’s James B. Beam campus, while its visitor center and restaurant remain open, it said.

Suntory, which also owns soft drinks such as Orangina, is grappling with the fallout of Takeshi Niinami’s resignation as chief executive officer in September after Japanese police raided his home as part of an investigation into suspected illegal cannabis-based supplements. Niinami was one of the country’s best-known and most outspoken business leaders.

Join us at the Fortune Workplace Innovation Summit May 19–20, 2026, in Atlanta. The next era of workplace innovation is here—and the old playbook is being rewritten. At this exclusive, high-energy event, the world’s most innovative leaders will convene to explore how AI, humanity, and strategy converge to redefine, again, the future of work. Register now.



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New luxury airline seeks top first class and will only fly to a handful of cities

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As premium travel becomes an increasingly important part of the airline industry, a new carrier is launching that looks to offer an experience beyond first class but without the enormous cost of chartering a private jet.

Florida-based Magnifica Air expects to begin service in 2027, with plans for six to seven daily departures, connecting to Miami, New York, Los Angeles, the San Francisco Bay Area, Dallas, and Houston. The airline will also offer seasonal service to Napa Valley and the Caribbean.

Magnifica has long-term lease agreements with Air Lease for six new Airbus aircraft, including four A220-300s and two A321-200neos. The A321neo will fly on longer-haul routes and include four private suites, while the A220-300 will serve mid-haul routes and have two suites.

Each plane will carry only 45–54 passengers—less than half what they carry for typical airlines—and there will be no overhead bins, increasing cabin space even more.

Magnifica Air

Service begins with a driver who picks up passengers and takes them to a private terminal, where they will not have to wait in a TSA line, while a concierge handles their luggage.

Travelers can arrive just 30 minutes before departure. Prior to takeoff, they can partake in fine dining and wellness offerings. While onboard, there’s curated entertainment and tailored dining in the privacy of suites and recliners. After landing, baggage arrives in 10–15 minutes, while chauffeurs wait curbside.

“Right now, if you want a truly luxurious experience, you’ve got two options: Pay 10 times the cost of a first-class ticket for a private jet, or deal with the frustrations of commercial first-class travel, where you’re still treated like just another number. Magnifica Air is stepping into that space between,” the airline said. “We’re offering a fully private, seamless experience for a fraction of what you’d pay to charter a jet.”

Magnifica hasn’t disclosed any details on ticket prices yet, but a spokesperson said they will vary by route and dynamic demand. Meanwhile, renting a private jet can cost several thousand dollars per hour.

The airline has announced prices for its “The Seven Club” membership, which will offer priority access and tailored service, as well as invitations to major events like Art Basel and the Super Bowl. Family memberships will start from $14,950 and corporate membership from $29,950.

Magnifica Air

Magnifica comes as the main airlines have become more reliant on first-class and business-class passengers.

In October, Delta Air Lines said for the first time ever it expects sales of premium seats will overtake those of its traditional main cabin offerings by 2026, a full year earlier than previously expected.

“Premium products used to be loss leaders, and now they’re the highest-margin products,” Delta President Glen Hauenstein told analysts on an earnings call.

He added Delta is seeing “many, many more opportunities in premium in the coming years” and cited investments in Los Angeles, Boston, New York, and Seattle “where a considerable amount of premium lives. Delta historically wasn’t as big in those markets as we are now.”

At the same time, Delta has introduced an extra-high-end tier of lounges as its Delta Sky Club lounges grow more overcrowded.

It’s indicative of the K-shaped economy, in which the top 10% of households accounted for nearly 50% of all consumer spending in the second quarter of 2025, according to Moody’s Analytics

Even low-cost carriers like Frontier Airlines are reducing capacity in economy class to add first-class seats.

“We’ve listened to customers, and they want more—more premium options, like first class seating, attainable seat upgrades, more free travel for their companions, and the ability to use miles on more than just airfare,” Frontier CEO Barry Biffle said last year.



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iRobot cofounder Colin Angle: Roomba-maker’s biggest reason for failure was Chinese competitors

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After Roomba-maker iRobot filed for Chapter 11 bankruptcy last week, founder and former CEO Colin Angle did not shy away from sharing what went wrong. 

Angle, who co-founded iRobot in 1990 alongside other members of MIT’s Artificial Intelligence Lab, said in a recent episode of The New York Times “Hard Fork” podcast that one of the core problems with remaining competitive in its market was growing Chinese competition. 

“It’s certainly the advent of this new type of competitor, the Chinese fast follower who had access to the Chinese marketplace, which I Robot effectively did not,” Angle said. “I also think that the marketplace was not a level playing field.”

Roomba became a household name—and appliance—in numerous American homes after the vacuuming robot hit the market in 2002, a pioneer in the household robotics sector. The 2018 self-emptying Roomba i7+ vacuum was even able to tidy dust and detritus from specific rooms using mapping technology. The company reached its peak revenue in 2021 at nearly $1.6 billion. Now, following its bankruptcy filing, iRobot will be acquired by the China-based Picea Robotics, its primary manufacturer and lender.

Despite the Roomba’s initial success, it began losing market share to its Chinese rivals, a death knell for the company, according to Angle. 

“For a small period of time, iRobot was the meeting manufacturer of vacuuming robots in China,” he said. “Then it stopped, because China decided that this was a market of interest, and they were going to ensure that Chinese companies were advantaged to succeed there.”

Angle noted that China, “for various pragmatic and political reasons, gave a protected market to cut your teeth on for the competition,” such as the China-based Roborock, which put iRobot at a disadvantage in the massive Chinese market. (Roborock has since become the world’s largest robot vacuum brand.) 

China has implemented a series of incentives for consumers to buy domestic products, including an up-to 20% discount on certain tech appliances, in an effort to boost spending following a prolonged pandemic-era lull. The Central Committee of the Chinese People’s Congress announced in October a renewed focus on bolstering domestic consumption, calling for support of Chinese businesses.

Picea Robotics, for its part, has dominated the robotic vacuums space, and it reports partnerships with Shark and Anker, in addition to iRobot.

“It’s a cage match, and it certainly got hard, and it got increasingly competitive,” Angle said. 

iRobot did not immediately respond to Fortune’s request for comment.

Obstacles in iRobot’s path

Increased competition from China may be why iRobot lost key international market share, but Angle said Amazon’s failed bid to acquire the company only hurt it.

In 2022, Amazon announced a deal to buy iRobot for $1.7 billion, what would have been its fourth-largest acquisition ever at the time. However, regulators thwarted the deal, with the European Union and U.S. Federal Trade Commission arguing Amazon could engage in anticompetitive practices by delisting competitors on its platform, or increasing advertising costs that would stymie innovation in the sector. Amazon and iRobot decided in January 2024 to abandon the deal.

To Angle, the failed acquisition hurt more than just iRobot, but rather the consumer and entire industry of household robotics.

“The tragedy of the blocking of the transaction is we did it to ourselves,” he said. “And the net result, which I have argued, was done with eyes wide open, was putting the consumer robot industry in a box, gift wrapping it and handing it to someone else.”

iRobot had other failures, such as a wet-mopping feature that lagged behind competitors and never really materialized, according to Angle, but regulator scrutiny of the proposed Amazon acquisition inhibited the American robotics sectors from being nurtured, he argued.

Amazon did not respond to Fortune’s request for comment.

“If nothing else, the tragedy of the events of the Amazon attempted acquisition of iRobot to serve as a lesson as we think about an industry which honestly could be 1,000 times larger than robot vacuuming,” Angle said.



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