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Welcome to AI Insurer Brief!
Hey it’s Fabio here,
In today’s Executive Series, we’re joined by Brad Stoub, Growth Leader at Zocks.
Zocks focused on a very real workflow problem. They are solving a practical issue for advisors that sits between the client meeting and the risk submission process.
With Brad, we discussed what Zocks is solving today, why life insurance is such a strong fit for this, where firms are seeing real operational gains (including 10+ hours per week saved), and what insurance leaders should pay attention to in this area.
Brad and the Zocks team will also be diving deeper into this topic in a free webinar this Thursday. Register here if you want to see how this works in practice.
1. Brad, for people hearing about Zocks for the first time, what problem are you solving for insurance advisors and agencies today?
Zocks is an AI assistant for advisors.
First, it automates note-taking while you are in a meeting, so you can truly listen and focus on the client or prospect.
Then Zocks takes that rich and detailed information and structures it in a way so that it updates your CRM and planning systems and completes other insurance processes, like filling out carrier applications, fact finders, and intake forms. All this is done automatically without any extra manual data entry. You just confirm and submit. .
This is saving advisors 10+ hours per week, speeds up applications, and ultimately they are issuing more policies per month.
Plus, we do very well with the Compliance team, because we do not record the conversation, which reduces sensitivity around highly personal client information.
2) You’ve recently launched Zocks for Life Insurance. What made life insurance the right area to go deeper, and where were you seeing the biggest workflow bottlenecks?
Typical applications for life insurance or annuity products are 15 pages long. They may be web apps or PDFs, and advisors have to go through all of that manually.
So Zocks saw an opportunity to:
increase the correctness of the data they are entering
reduce the back and forth with an underwriter
simplify the process
and make sure the data is more accurate
On the application itself, they are seeing:
30+ minutes per application saved
another 30 minutes from reduced back and forth with underwriters
and another 30 to 60 minutes from no longer hunting for data across multiple systems
They also see time savings in email communications, because the structured data from those meetings can go into pre-drafted emails, so advisors do not have to start from scratch anymore.
3. Where are firms seeing real operational gains?
The biggest problem we see is that when advisors are putting a life insurance policy or an annuity policy in place for a client, they are hunting and searching for the correct information across different systems to fill out policy apps.
Zocks centralises that information and structures the data in a way that is easily consumable for advisors to fill out applications, provide suitability to the carrier for an annuity product, and move more efficiently through the application process.
That dramatically reduces the amount of time it takes to:
hunt and search for data
and fill out applications appropriately
We are hosting a webinar this Thursday May 28 to show how Zocks eliminates the gap so the team can walk out of every meeting with intake filled, follow up drafted, and the case moving forward.
Zocks is very easy to set up - it is literally a couple clicks for an advisor to get on.
4. What should insurance leaders pay attention to in this area?
The quality of data entering your systems is really important. There’s the saying, “garbage in, garbage out.” That’s even more important now that we have artificial intelligence tools that analyze, build, and reason on that data.
Historically, end users of CRM systems are not great at entering rich information about clients in a way that can benefit them in the long run.
What Zocks provides is the richest and cleanest customer data that firms have ever seen before.
And why that is important for artificial intelligence is simple:
the richer, cleaner, and more structured the data is, the better outcomes come from using artificial intelligence.
Fabio Caravita — say hi on Linkedin
Founder, AI Insurer Brief
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