Keeping Oversight in AI-Assisted Certificate Review

AI-assisted certificate review can help a property team find information that needs attention. It works best within a process that makes requirements, responsibility, and follow-up clear.
When evaluating a tool, look beyond the initial result. Follow a flagged submission through the next action and check whether the team can understand why it remains open.
Define who maintains the requirements
Property requirements are the basis for comparing a submission. Identify who can confirm them and how the team learns when they change. Avoid allowing different reviewers to work from conflicting instructions.
During setup, use a representative set of properties and document types. Ask how the review reflects the requirements that apply to each one.
Keep the document available for review
A flagged result should lead the team back to the relevant submission. Read the document and the configured requirement together when deciding what to do next. An unclear scan, missing information, or an unusual case may need a further exchange with the submitter or broker.
Do not turn a software status into a broader promise about insurance protection. Keep the language of the workflow focused on the document review and the requirements being checked.
Assign the next action
For each unresolved item, make clear who will request clarification, who will review the response, and how the result will be recorded. If responsibility moves to another person, keep the relevant document and conversation together.
- Identify the property and submitter.
- Record the item that needs attention.
- Assign responsibility for follow-up.
- Review the response and update the record.
Treat expiration tracking as a continuing task
VerifyCOI tracks certificate dates and sends renewal reminders at configured intervals. The team still needs a process for submissions that have not arrived and documents that need another review.
Include these outstanding items in the team’s regular review. A reminder schedule can support follow-up, but it does not ensure that another party responds.
Ask concrete questions during evaluation
Use the demonstration to understand what the product checks, how it presents flagged items, and what people must do to resolve them. Ask the team to discuss security, access, and hosting information as part of your evaluation rather than inferring those details from a product label.
Compare the tool against the documents and working process your team actually uses. A clear division between automated steps and human review is more useful than a general claim that AI removes risk.
