AI Policy Template for Mortgage Brokers
Build an editable AI use policy from your approved tools, data permissions and review rules.
Brokerage
The person or role approving tools and data permissions.
Approved tools
Up to five approved tools.
Use and review
Include the internal person or role and reporting channel.
Your AI use policy
Ready for your brokerage's review.
Editing the policy pauses automatic replacement. Exports use the displayed text.
The initial policy is a fictional example. Entries and policy text stay in this browser.
What an AI Use Policy Covers
An AI use policy tells staff which tools they may use, which information each tool may receive and who reviews its output. This AI policy template turns those decisions into an editable staff policy. You can copy the text, download it or print it.
The Office of the Australian Information Commissioner (OAIC) recommends avoiding personal information in publicly available generative AI tools. Its guidance on commercial AI products covers product assessment and privacy risks. An approved business plan still needs an assessment of its actual settings and use.
The Australian Securities and Investments Commission (ASIC) examines AI governance in Report 798, Beware the gap. Its review includes credit licensees. Use the policy alongside your licensee's requirements and existing privacy and incident procedures. The generated document does not certify compliance.
Complete the Policy
Replace the fictional brokerage name and policy owner first. Name the person or role staff can approach for an approval. The policy owner maintains the approved list and records changes.
For each approved AI tool, enter its exact plan and workspace. Record the tasks staff may perform in that tool. Add another tool when its account, data permissions or permitted work differ. The form holds up to five tools. You can add further tools in the editable policy.
Choose public information, de-identified information or specified client categories for each tool. Public information excludes client personal information. De-identification requires assessing whether the remaining details could identify someone. Removing a name can leave an identifiable address, unusual transaction or financial history.
If you choose client categories, name the categories and the approved purpose. Before issuing that permission, record the privacy assessment and lawful basis for the use or disclosure. Assess provider access, model training, retention and overseas handling. Include required notices or consent and any licensee approval.
Enter prohibited tasks separately from permitted tasks. Name the output reviewer and incident reporting channel. Choose a review frequency that your brokerage can carry out. The document also requires review when tools, terms, settings or uses change.
You can edit the generated policy directly. Editing pauses automatic replacement so a later form change does not overwrite your work. Discard edits and rebuild applies the form's decisions again. Reset example restores every field and removes added tools. Copy, download and print use the displayed text.
An Example AI Policy for a Brokerage
Banksia Example Finance is a hypothetical three-person brokerage with an owner, a broker and an administrator. Its practice owner approves one writing assistant in the brokerage's business workspace. The tool may rewrite public website copy and draft general educational posts using public information only.
The example prohibits client recommendations, credit assessments, lender submissions and unsupervised client messages. The broker responsible for the work reviews each output before use. Staff report suspected disclosure to the practice owner through the internal incident channel. The owner reviews the policy every three months and after a relevant change or incident.
The tool opens with these decisions. A staff member must obtain approval before adding a meeting recorder or supplying a client's payslip. Neither action is covered by the example's permission to draft public copy.
Roll It Out to Staff
Review the completed policy against your brokerage's actual tools and licensee instructions. Add its effective date and version, obtain the required approval and save the issued copy in your policy register. Keep a record of who receives each version.
Walk staff through a permitted task and an incident example. Show them how to report an accidental upload and how to request a new tool. Record acknowledgement after that training. An acknowledgement records understanding of the rules.
Find unapproved accounts through a shadow AI review before treating the approved list as complete. At each policy review, compare actual staff use with that list. Remove old access and give staff the revised rules before changing their permissions.
