TD Bank Group announced today the launch of its first agentic AI model, marking what the bank calls a major milestone in its enterprise-wide AI strategy. The model automates the pre-adjudication process for mortgage and home equity line of credit applications, reducing a task that previously took hours to one that takes minutes.
TD's agentic AI model automates the pre-adjudication process by generating application summary memos for underwriters in minutes instead of hours. The model was developed by Layer 6, the bank's AI research and development centre, alongside TD's technology, data, real estate secured lending, and risk management teams. newswire
"Agentic AI is enabling us to deliver what clients tell us matters most - speed and simplicity," said Mohit Veoli, Senior Vice President of Real Estate Secured Lending at TD. "By providing confident decisions earlier in the homebuying process, we're meeting our clients where they are." newswire
This Is What Enterprise AI Adoption Actually Looks Like
Four years of watching financial institutions implement AI has shown me a clear pattern: the first production deployments almost never look like the demos. They are narrower, more constrained, and focused on a single high-friction workflow. TD's mortgage pre-adjudication launch fits that pattern exactly.
Automating the summary memo step is not glamorous. But in a large bank processing thousands of mortgage applications, shaving hours off that step per file translates to significant capacity gains and faster decisions for customers. That is the kind of AI ROI that shows up in earnings calls, not just press releases.
TD described the launch as the first step in an end-to-end transformation of its real estate secured lending operations, with plans to introduce agentic AI across each stage of the process from document submission to the release of mortgage or HELOC funding. newswire
The Bigger Strategic Picture
The bank has stated its goal of generating $1 billion in annual value from AI in the coming years. AI is helping power annualized cost savings targeted at $2.2 to $2.5 billion CAD through repeatable patterns, faster deployment, and reduced delivery costs. newswire
Banks are investing heavily in AI as the technology is anticipated to trim industry costs by up to 20%, with agentic AI poised to have the most significant impact on banks' operations, according to McKinsey estimates. CIO Dive
TD has roughly 2,500 people working on AI development. This launch is the public-facing result of that investment starting to move into production at scale.
