Ask an insurance professional what slows a case down and the answer is not always a difficult underwriting or claims decision.
Sometimes it is much more ordinary.
The turnover came back without a period. The client sent the wrong schedule. One question needs somebody in finance, another needs operations, and the person coordinating the request does not know who owns the third. An underwriter asks for clarification and the broker has to reopen a conversation that everybody thought was finished.
None of this sounds dramatic. But when it happens across dozens of submissions, renewals, and claims, it becomes a real operating workload.
That is the part of insurance work I have become increasingly interested in.
The first reply is often only the start
A request can look simple when it begins:
- confirm this year's revenue;
- send the latest claims experience;
- explain what changed since last renewal;
- provide the supporting document;
- confirm whether a location, process, or exposure has changed.
Then the reply arrives.
The revenue has no currency. The document is from the wrong year. The recipient only knows half the answer. The old submission contains a figure, but nobody wants to assume it is still current.
At that point, someone has to notice the gap, understand why it matters, work out who can answer it, ask a better question, and keep the answer connected to the original request.
That is not just form filling. It is coordination.
Experienced people spend time on work that is not really judgement
A broker should advise the client and structure the placement. An underwriter should understand the risk and make an underwriting decision. A claims professional should evaluate the claim. A risk manager should decide what matters for the business.
Yet experienced people often spend part of their day doing something else: chasing, checking, forwarding, reconciling, and reconstructing.
The useful distinction for us is not simply manual versus automated. It is judgement versus coordination.
The judgement should stay with the insurance professional. The coordination around it can often be made much more structured.
For example:
- What exactly is missing?
- Who is allowed to answer it?
- What did they already send?
- What is incomplete or inconsistent?
- How many times should we follow up?
- When should the request come back to a person?
- What source supports the final answer?
Those are the kinds of boundaries we are exploring with Insuveo.
A good system should be comfortable saying "still missing"
One thing I do not want Insuveo to do is make an incomplete request look complete.
If a figure has no period, the period is still missing. If two documents disagree, both should remain visible. If the system does not know who can answer the next question, that should come back to a person instead of being guessed.
For insurance teams, a polished answer without provenance can create more risk than an obvious gap.
The useful output is therefore not just a summary. It is a working record of what was asked, what came back, where it came from, what changed, and what is still unresolved.
The best starting point is probably one annoying workflow
I do not think the right way to test this is to automate an entire insurance function.
A better starting point is one workflow your team already finds irritating.
Maybe it is collecting renewal information from commercial clients. Maybe it is an underwriter repeatedly asking for missing risk details. Maybe it is coordinating documents during a claim. Maybe it is a servicing process that lives across three inboxes and a spreadsheet.
Measure how it works today: time spent, number of follow-ups, handoffs, missing items, and how often somebody has to go back through the thread to understand what happened.
Then see whether a more structured collection and follow-up process actually makes the work better.
If this sounds familiar, I would like to hear the messy version
I am still learning where this problem is painful enough to deserve a product.
So if you work in broking, underwriting, claims, insurance operations, or corporate risk and you have a process that repeatedly gets stuck because somebody is waiting for information, I would genuinely like to understand it.
You do not need to prepare a product brief or a polished use case. Tell me what the team asks for, who gets chased, what usually comes back wrong, and what happens next.
That is more useful to me than a generic conversation about "AI in insurance."