TD Bank Group says its new agentic AI model can cut the average time for a mortgage application’s pre-adjudication process from 15 hours to less than three minutes in early results. The model prepares a summary for a human underwriter; TD’s announcements do not say it makes final mortgage approval decisions.
What TD’s agentic AI does in mortgage operations
TD announced the launch on May 21, 2026, as its first agentic AI model in Real Estate Secured Lending (RESL). Its initial use is pre-adjudication for mortgage and Home Equity Line of Credit (HELOC) applications. In this stage, the system prepares application summary memos for underwriters, rather than replacing their decision-making.
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Developed by TD’s AI research and development centre, Layer 6, alongside the bank’s technology, data, RESL and risk-management teams, the system processes application information and assembles it into a concise handoff for a human reviewer. TD says it can:
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- Calculate income and validate figures against selected policy requirements.
- Perform consent checks and search for discrepancies.
- Prepare a summary memo for an underwriter.
TD describes this as the first step toward applying agentic AI across the end-to-end RESL journey, from document submission through funding. That broader ambition should not be confused with the model’s initial, narrower pre-adjudication role. TD’s May 21 announcement explains the launch and workflow.
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How much faster is the process?
TD reported an early-results change in average pre-adjudication time from 15 hours to less than three minutes. That is a substantial reported reduction in time spent preparing the underwriter’s summary, but the announcement does not provide a sample size or describe how the average was measured. It is a company-reported result, not an independently verified benchmark.
TD also says the process is producing more accurate results, but has not published a quantified accuracy improvement or evaluation method in the cited announcement. The speed figure therefore does not establish that applications are approved faster, that customers receive a final decision in three minutes, or that all other parts of mortgage processing have changed by the same amount.
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- 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
Does the AI approve mortgages?
TD’s published description says the model prepares a memo that human underwriters use. It does not say the model itself approves or declines a mortgage or HELOC. The distinction matters: automating document review and summary preparation can accelerate a step without automating the final lending decision.
In a July 31, 2026 feature, TD said that all new personal mortgages were then going through the process. That statement is limited to new personal mortgages as of the date of that account; it does not establish that every mortgage or HELOC application follows the same workflow, nor does it verify the rollout beyond that publication. TD’s feature on agentic AI describes the human-in-the-loop approach.
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What human oversight and AI governance does TD describe?
TD says its Trustworthy AI team oversees integration and evaluates models for privacy, security, fairness, accountability and explainability. The bank says checks take place before models come into contact with humans, and that deployed models are monitored. Its July account characterizes the mortgage solution as built under this approach with a human in the loop.
Those are TD’s descriptions of its governance practices. The sources do not provide an independent audit of this model’s performance or customer outcomes. Luke Gee, TD’s Chief Analytics and AI Officer, described the intended approach as: “We’re building a hybrid future where our colleagues and AI work together to help our clients get to a ‘yes’ faster on some of their most important decisions.”
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- 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
Why TD is extending AI into lending
TD presents the mortgage launch as part of a broader enterprise AI strategy that aims to combine machine intelligence with employee expertise to improve speed, simplicity and personalization. Mohit Veoli, Senior Vice President of Real Estate Secured Lending at TD, said: “Agentic AI is enabling us to deliver what clients tell us matters most – speed and simplicity,” and added, “This is just the beginning of how we’re using AI to evolve the mortgage experience and bring our promise of being more human to life.”
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1Fix the driver behind crashes, sound loss and screen glitches2Clear out junk files and repair common Windows errors3Scan for outdated or missing drivers - takes under a minuteTD’s May announcement also describes a goal of generating $1 billion in annual value from AI in the coming years. That is a corporate target, not value already realized and not a mortgage-specific result. Separately, TD’s 2025 annual-report strategy page refers to faster mortgage pre-approval, pricing and application processes in Canadian Personal Banking; those broader strategy statements are not measured outcomes of this particular agentic model. TD’s 2025 annual-report page on “Simpler & Faster” sets out that wider context.
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What borrowers should take away
For borrowers, the clearest reported change is behind the scenes: TD says the AI prepares underwriting summaries much faster, while a human underwriter remains part of the described workflow. This could reduce time spent on an administrative stage, but the published figures do not establish how much the model changes an individual customer’s total application time or final outcome.
TD has not published, in the cited accounts, a detailed measurement design, an independent evaluation, a quantified accuracy gain or comparative customer-outcome data. The launch is evidence of TD’s deployment and its reported early processing-time result—not proof that automated underwriting is complete or that every applicant will experience a faster decision.
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