Karsten Wenzlaff, Advisor
August 26th, 2025
Karsten Wenzlaff is a Crowdfunding and Fintech Expert from Germany. He is Secretary-General of Digit[...]
TD Deploys Trust Science For AI Loan Decisioning
July 9, 2026 | NCFA Market Activity | Banking And Lending, Artificial Intelligence And Data, Digital Identity And Trust, Risk Compliance And Regtech, Fintech And Innovation
Real Time Income Verification And AI Loan Decisioning
On July 7, 2026, Trust Science announced a bank wide Master Services Agreement with TD to improve loan approval and origination turnaround times.
TD is initially using Trust Science’s income verification and reporting capabilities to support fast, secure, real time loan decisioning. TD Auto Finance Canada is the first TD business to use the capability and has begun rolling it out through 5,500 authorized dealers across Canada.
This is a practical in market AI lending infrastructure signal. A major Canadian bank is applying real time income verification and credit decisioning technology inside an active loan origination channel, starting with auto finance where speed, dealer experience and risk controls all paramount.
Income Verification Moves Into Real Time Lending
Income verification remains one of lending’s most stubborn workflow problems.
Borrowers want fast answers. Dealers want clean handoffs. Lenders need enough verified income evidence to make a responsible decision without slowing the application down. That tension is especially visible in auto finance, where the lending decision often happens inside a sales process.
Trust Science has built its platform around AI assisted credit decisioning, risk management and consumer reporting. The TD rollout extends that platform into real time income verification, giving lenders verified borrower information earlier in the loan origination process.
Real time income verification is a direct open finance use case. Permissioned financial data can help verify income, assess affordability, support cash flow analysis, flag fraud risk and reduce onboarding friction. See: Open Finance SME Capital Access.
TD Auto Finance gives Trust Science a high volume lending channel where verification speed affects the borrower, dealer and lender at the same time.
Michael McGhee, SVP and Head of TD Auto Finance Canada, said Trust Science’s solution helps TD offer dealers and clients “a simpler and faster way to do business with us.”
Trust Science Extends Canada’s Credit Data Market
Trust Science positions itself as an AI powered credit decisioning and risk management platform, a licensed Consumer Reporting Agency and Canada’s third modern credit bureau.
See: Conexus Backs JUDI.AI For Credit Union SME Lending
Canada’s credit market has long been dominated by large incumbent bureaus and traditional credit files. Trust Science is competing from a different angle now with income verification, alternative data, AI decisioning, workflow automation and fraud reduction.
Evan Chrapko, founder and CEO of Trust Science, said TD is using the company’s real time decisioning platform and proprietary processes to get loan decisions made “as quickly as possible with less risk.”
That's the commercial promise. The regulatory and trust challenge is whether AI assisted decisioning can improve speed while keeping lending evidence accurate, explainable and fair.
AI Lending Still Depends On Data Verification
AI credit decisioning only works when the underlying data is reliable.
Income, identity, fraud signals and borrower information have to be verified before automation can add value. Otherwise, faster decisioning only pushes weak inputs through the system faster.
Faster lending workflows need stronger verification controls. See: How Fraud Broke The Old Rules Of Trust And Verification.
That applies directly to lending. Faster origination is useful only if the lender can trust the borrower evidence, detect fraud and explain the decision path.
Talking Point
Will real time income verification become standard infrastructure for AI assisted lending, or stay limited to high speed channels like dealer finance?
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