NEOEDGE AI10 AI tasks for mortgage operations. Ones you can start this month.
Start with tasks where a person already checks the result: file summaries, broker emails, condition letters from approved templates, missing-document checks and report commentary. Use the AI tools your firm already approves, keep borrower data out of public tools, and leave credit decisions with people.
Which tasks should we start with?
- Summarize a deal file for the person who reviews it, with the points that need their attention flagged first and each point linked to the page it came from.
- Draft broker emails and status updates from the file notes, for a person to edit and send.
- Draft condition and commitment letters from your approved templates, checked against the file.
- Check a file for missing documents against your own checklist before it moves on.
- Suggest codes for card-statement charges from past decisions, for an accountant to review.
- Answer staff questions about policy or product from approved documents only, and say so when it doesn’t know.
- Draft commentary for funder and investor reports from numbers your team has already checked.
- Compare two versions of a report and flag figures that don’t match.
- Turn meeting notes into actions with owners and dates.
- Write a weekly brief from team reports, with blockers and decisions first and each point linked to its source.
What should we do before the first task?
Four things. Map where your data lives. Write down how the work is done today, so the AI has a standard operating procedure to follow. Find the people on the team who are keen on AI and automation. Name the subject-matter experts who will check the output.
What does AI still do badly?
Two things trip up mortgage teams. AI tools still struggle with data locked in tables inside PDFs, so check every figure they pull from one. They also don’t always follow instructions or give the same answer twice, so a person reviews the output against a written checklist.
Is anyone in Canada doing this?
Yes, for some of these tasks. In May 2026, TD said its AI agents create application summary memos for mortgage and HELOC files by classifying client documents and extracting data. At a Canadian mortgage lender I worked with, two of these are in use. A tool suggests codes for card-statement charges for an accountant to review, and a Teams chatbot answers staff questions from approved fund material. That chatbot passed 30 tests before launch without a made-up answer.
What should we keep away from AI?
Keep credit decisions with people. Keep borrower and investor data out of any tool your firm hasn’t approved. OSFI and FCAC’s 2024 report on AI at financial institutions names “preventing the input of confidential data into prompts” as one control for generative AI risks. Canada’s privacy commissioners also ask organizations using generative AI to limit the personal information they collect, use and disclose to what is needed. Make sure everyone can spot personal information before they use any AI tool, and knows the privacy rules that apply where your borrowers live.
Which tools should we use?
Use the ones your firm already approves, under a business plan. For Microsoft 365 Copilot, Microsoft says prompts and responses “aren’t used to train foundation LLMs.” It also says some processing can happen outside Canada, so check where your provider stores and processes data before borrower information goes in.
How do we know a task is working?
Pick one task, run it on last month’s real cases, and compare the result with what your team did by hand. Count corrections and time the checking. Keep the task if the checking takes less time than the work did, and drop it if not.
Where I can help
In a one-day Workshop, one team builds a first version of one workflow in the tools your firm already approves. Each person also builds a helper for a weekly task, and the team leaves a plan to test the shared workflow before anyone relies on it. From CAD 10,000, credited toward a Decision Sprint signed within 60 days.
More guides for lenders
- How to evaluate an AI vendor
- Our AI pilot isn’t working: fix, stop or scale?
- Readiness audit or Decision Sprint?
Sources
- TD, “TD launches agentic AI to transform real estate secured lending,” May 21, 2026
- OSFI and FCAC, AI uses and risks at federally regulated financial institutions, September 2024
- Office of the Privacy Commissioner of Canada, Principles for responsible, trustworthy and privacy-protective generative AI technologies, December 2023
- Microsoft, Data, privacy and security for Microsoft 365 Copilot
This page is general guidance. It isn’t legal or regulatory advice.