We have built a lot of technology around insurance distribution. We have systems for advertising, quoting, underwriting, CRM, lead management, automation, servicing, and now AI. But there is a part of the experience before most of those systems begin that I think deserves more attention.
Someone has to move from "I need insurance help" to "Here is an organized request that another person can actually understand and act on." Today, we often treat those as though they are the same moment.
A shopper fills out a form or expresses interest, and a record begins moving through the system. But the shopper may still not understand who will receive the information, what happens next, or what kind of contact to expect. The insurance professional receiving the request may still have to figure out why the person is shopping, whether the request fits, what has already been explained, and what information is still missing.
That creates work on both sides, and it can make an already confusing insurance-shopping experience feel even more fragmented. The shopper may have to repeat herself. The professional may have to reconstruct context that should have been clear earlier. And the system can still call the handoff successful because information moved from one place to another.
The Middle Layer
I think the industry needs to pay more attention to this middle layer. Not as another marketing funnel. Not as a way to move people faster. As the point where shopping intent becomes an organized insurance request that both sides can understand.
For the shopper, that means clearer expectations. Who may receive the request? What happens next? Is a licensed insurance professional likely to review it? What kind of contact should the shopper expect? The goal is not zero contact. It is clearer, more controlled contact.
For the insurance professional, it means better context. Why is the person shopping? What has already been provided? What still needs to be clarified? Is the request something this professional can reasonably help with? A request should be organized enough that the receiving professional can make a meaningful decision instead of starting from zero.
That is different from simply collecting more fields. More information does not always create more understanding. A long form can still produce a weak request if the person completing it does not know what will happen next or if the professional receiving it still has to figure out the reason behind the request.
Where Consumer Control Matters
This is also where consumer control matters. Insurance shopping is often repetitive, high-pressure, and difficult for the shopper to control. People worry about spam calls, who gets their information, whether they are being sent everywhere, and whether someone licensed is actually going to help them. Those concerns are not separate from the request process. They are part of it.
A better request layer should preserve enough shopper authorization and context that the next step feels understandable rather than surprising. The shopper should know what she is choosing. The professional should know enough to decide whether to engage. And the handoff should carry forward the information needed to continue the experience instead of restarting it.
AI can help here, but AI should not become the story. It can organize information, identify missing details, summarize what the shopper has already explained, and improve request readiness. Those are useful capabilities. But the technology still has to support a clear human process.
If the shopper does not understand what is happening, or the professional does not have enough useful context, making the handoff faster does not necessarily make the experience better. We may simply automate confusion.
What Marketing Doesn't Measure
I came to this problem after spending years around digital acquisition and customer behavior. In marketing, we get very good at measuring clicks, forms, and conversions. Insurance made me look at those actions differently because there is a person inside every one of them, and the action is often only the beginning of what that person actually needs.
That is the problem I am working on through Ensurance, a U.S. insurance-shopping company beginning with auto insurance. We are building around the idea that a shopper should be able to start one organized request with more clarity and control, while participating licensed professionals receive better context around requests they may choose to engage with.
Behind that, we are developing CATE, our Controlled Access Trust Engine, as the controlled-access and request-intelligence layer. Its role is to help structure requests, improve readiness, support controlled access, and create more useful opportunity context while preserving shopper authorization. CATE is being built, and planned AI capabilities are still under development.
The larger point is not about one company. As insurance becomes more automated, the quality of what enters those systems matters more. The industry does not need another way to turn shoppers into records faster. It needs a clearer way to turn insurance-shopping intent into an organized request that both sides understand.
That is the missing layer I think deserves more attention.
