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Rocket says it uses AI to take on parts of mortgage work such as sorting documents, extracting data, answering routine questions and helping bankers communicate with clients. Its stated approach is to make loan officers and other employees more productive—not to remove people from important homebuying decisions. The figures Rocket has shared are company-reported; the available coverage does not independently verify them or show that AI alone caused the reported gains.
Where Rocket puts AI in the mortgage process
Rocket describes AI as support across the homeownership journey, from home search and loan origination to servicing. The practical distinction is between automating repeatable tasks and leaving employees available for judgment, client communication and decisions with significant consequences.
Document identification and data extraction
Rocket’s proprietary loan-origination system, Rocket Logic, uses AI to help process underwriting documents. At its 2024 Investor Day, Rocket said it received 62 million underwriting-related documents that year, automatically identified 65% of them, and extracted data from those documents 80% of the time. The company also reported 700,000 team-member hours saved annually. These are Rocket’s figures as presented at the event, not independently validated measurements.
A separate figure reported by Fortune in December 2024 should not be treated as the same measure: Rocket said it automatically identified nearly 90% of received documents and saved underwriters more than 15,000 hours of manual work per month. The sources describe different figures and reporting contexts, so they do not establish a direct improvement from one rate to the other.
#1 Best Overall
- Loan Amortization and Remaining Balances
- Instant Principal, Interest, Interest Only and Total Payments
- Future Values
- Date math function
Client conversations and servicing
In an August 2025 HousingWire report, Rocket’s group chief technology officer, Shawn Malhotra, described AI chat for customer interactions and AI assistance with servicing questions. He also said AI could help identify refinancing opportunities when interest rates change. These examples put automation closer to the customer, but the cited coverage does not detail the systems’ decision rules or establish how often a recommendation leads to a completed transaction.
How loan officers stay involved
The clearest example of human control is Rocket’s AI texting tool for bankers. HousingWire reported that bankers could review a proposed message, confirm its recipient and retain control before it was sent. That makes the tool a drafting and workflow aid rather than an autonomous sender, according to the described process.
Rank #2
- SPEAKS YOUR LANGUAGE: Keys clearly labeled in residential mortgage finance terms like Loan AMT, Int, Term, PMT. This industry-standard calculator is super easy to use on all realty financing matters from finding a loan that works for your client to considering trust deeds investments, or finding remaining balances or balloon payments and much more
- CONFIDENTLY AND EASILY SOLVES: All your clients' financial questions whether they are buyers, sellers, investors or renters. Increase your perceived professionalism as a new agent, experienced broker or seasoned loan officer. Close more home sales and impress your clients with fast, accurate answers to all their real estate finance questions
- DEDICATED BUYER QUALIFYING KEYS: Enter client's income, debt and expenses to pre-qualify them to only show properties they can afford. Include tax, insurance and mortgage insurance then compare loan options and payment solutions to give your client choices before they make an offer to buy
- FIGURE OUT THE RIGHT LOAN: At the press of a button for jumbo, conventional, FHA/VA, or even 80:10:10 or 80:15:5 combo loans; check to see if ARMs or bi-weekly loans, quarterly payments or if interest-only payments are the answer; giving your client more choices; easily perform what if loan or tvm calculations Find loan amount, term, interest or PITI or PI payments
- BECOME AN INVALUABLE RESOURCE: Reduce your clients' confusion and uncertainty; ensuring they are able to make a purchase offer; knowing they can afford the down payment; and determining which is the right loan for them. Date-math for listings and contracts too. Comes with a protective slide cover, quick reference guide, pocket User's Guide, and long-life batteries
This distinction matters in mortgage work. A message can be routine, but a borrower’s circumstances, priorities and financing choices are personal. Rocket’s stated model uses automation to reduce repetitive work while keeping employees in the process for client contact and decisions that call for context or judgment. The available reporting describes this approach; it does not independently measure how consistently it is followed across every interaction.
What Rocket says the results have been
The figures below come from different sources, years and definitions. They are company claims reported by Rocket or attributed to Malhotra; the cited coverage does not provide enough methodology or independent evidence to establish causation.
Rank #3
- DEDICATED FUNCTION KEYS for Quick Financial Solutions: Clearly labeled function keys enable you to quickly and confidently provide financial answers and options for your clients, whether in the office, in the car or at an open house. Compare loan options and provide payment solutions to give your client choices
- INSTANT FINANCIAL PROBLEM SOLVING: Solve the financial questions your clients have whether they are buyers, investors or renters; increase your perceived professionalism and close more home sales by quickly answering real estate finance problems including remaining balances
- RESIDENTIAL REAL ESTATE FINANCE TERMS: Keys labeled in residential real estate finance terms like Loan AMT, Int, Term, PMT; Calculator is super easy to use to determine a mortgage loan that works for your client
- VERSATILE LOAN CALCULATION OPTIONS: Calculate 80:10:10 or 80:15:5 combo loans at the press of a button; check to see if ARMs or bi-weekly loans, quarterly payments or if interest-only payments are the answer; giving your client more choices
- COMES COMPLETE: Comes with a protective slide cover, quick reference guide, pocket user's guide, two long-life batteries, and 1-year warranty
| Reported result | Attribution and context |
|---|---|
| 65% of underwriting-related documents automatically identified; data extracted 80% of the time; 700,000 team-member hours saved annually | Rocket’s 2024 Investor Day figures, as reported in its transcript. The company also said it received 62 million underwriting-related documents that year. |
| Nearly 90% of received documents automatically identified; more than 15,000 hours of underwriter work saved per month | Rocket’s claims reported by Fortune in December 2024. These are separate measures from the Investor Day figures above. |
| AI-chat users converted at three times the rate of other channels for purchase loans and 2.5 times the rate for refinances | Rocket claims attributed to Malhotra in HousingWire’s August 14, 2025 report. |
| Production teams handled 50% more clients per team member year over year | Rocket claim attributed to Malhotra in the same HousingWire report. |
| Banker outreach increased 20% compared with previous years after release of the AI-texting tool | Rocket claim attributed to Malhotra in the same HousingWire report. |
These numbers indicate what Rocket says its systems and teams achieved, not a controlled comparison showing that AI produced each outcome. HousingWire and Fortune do not provide a common methodology that would make the figures directly comparable.
Who is Shawn Malhotra?
Rocket Companies named Malhotra its first group chief technology officer, effective May 6, 2024. The company said his remit covered technology across the Rocket ecosystem, including AI development, data science, product engineering, technology operations and information security. His previous technology leadership roles included Thomson Reuters and Intel; he began his career at Qualcomm.
Rank #4
- SPEAKS YOUR LANGUAGE: Keys clearly labeled in residential mortgage finance terms like Loan Amt, Int, Term, Pmt; this industry-standard calculator is super easy to use on all realty financing matters from finding a loan that works for your client to considering trust deeds investments, or finding remaining balances or balloon payments and more
- CONFIDENTLY AND EASILY SOLVE: Clients' financial questions whether they're buyers, sellers, investors or renters. Increase your perceived professionalism as a new agent, experienced broker or seasoned loan officer. Close more home sales and impress your clients with fast, accurate answers to all their real estate finance questions from PITI Payments to IRR, NPV and Cashflows
- DEDICATED BUYER QUALIFYING KEYS: Enter client's income, debt and expenses to pre-qualify them to only show properties they can afford. Include tax, insurance and mortgage insurance then compare loan options and payment solutions to give your client choices before they make an offer to buy
- FIGURE OUT THE RIGHT LOAN: For your client at the press of a button for jumbo, conventional, FHA/VA, or even 80:10:10 or 80:15:5 combo loans; check to see if ARMs or bi-weekly loans, quarterly payments or if interest-only payments are the answer; giving your client more choices; easily perform what if loan or TVM calculations find loan amount, term, interest or PITI or PI payments
- BECOME AN INVALUABLE RESOURCE: To your clients by reducing their confusion and uncertainty; ensuring they are able to make a purchase offer; knowing they can afford the down payment; and determining which is the right loan for them. Date-math for listings and contracts too. Comes with a protective slide cover, quick reference guide, pocket user's guide, and long-life battery
At Rocket’s 2024 Investor Day, Malhotra said the company had delivered production AI models since 2012 and had more than 200 in production at the time. He framed the goal as achieving client and business outcomes rather than adopting AI for its own sake. Rocket’s announcement of his appointment quoted CEO Varun Krishna as saying Malhotra’s objective was to increase innovation and execution while amplifying the company’s AI initiatives.
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What the claims do—and do not—show
Rocket’s public examples offer a picture of AI as infrastructure for mortgage operations: document processing in the back office, chat and servicing support for customers, and tools that help bankers reach clients. The review step in the texting workflow is a concrete example of a person retaining control over an AI-assisted task.
Best Value
- Extra large 12-digit angled display.
- Loan Wizard.
- Automatic Tax Keys.
- Selectable decimal setting.
- Input any three loan variables to compute the fourth.
The reported conversion, productivity and time-saving figures should be read as company-reported outcomes, not proof that AI alone caused the changes. The cited accounts do not supply detailed measurement methods or independent validation. They also do not establish how every system behaves in every case. Malhotra’s emphasis on iterating from client feedback, as reported by HousingWire, describes Rocket’s stated product approach—not an independent assessment of its results.
Quick Recap
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