Every time we talk to an agency owner about AI, the same question comes up within the first five minutes. Sometimes it’s direct: “Is this going to replace my staff?” Sometimes it’s sideways: “So what do my CSRs do all day if the AI handles the calls?”
It’s a fair question. And the answer, backed by a large body of data, is no.
What the data actually says
Google Cloud surveyed 3,466 senior executives at companies with 100+ employees across 20 countries. The report — “The ROI of AI in Customer Experience” — found that 70% of executives report improved productivity from AI. Not “replaced workforce.” Improved productivity of the existing workforce.
The report describes the most successful deployments as following a “human plus machine” strategy. Their language: AI creates “AI-augmented super agents” that handle the repetitive work while humans focus on “complex, high-value tasks that require empathy and critical thinking.”
Best Buy’s VP of Product Management put it plainly: “These tools are designed to help reduce the mental workload for agents, allowing them to better focus on personally connecting with the Best Buy customer.”
Replace “Best Buy customer” with “policyholder” and that’s the entire point.
What AI actually takes off the plate
The report is specific about what AI handles well:
- Data entry. The mechanical act of typing information into a system.
- Ticket categorization. Determining what a customer needs and routing it to the right person.
- Conversation summaries. Generating a record of what was said during an interaction.
- Follow-up emails. Drafting responses based on the conversation that just happened.
- Routing of customer inquiries. Getting the right question to the right person.
Read that list again. That’s not “selling insurance.” That’s the admin work your producers complain about every week. The 12-18 hours of non-commission work that fills up their schedule and makes them tell you the week was “fine, but.”
AI doesn’t take the selling. It takes the “but.”
What AI can’t do — and shouldn’t
The same report acknowledges limits. And in insurance, those limits matter more than in most industries.
A customer calls because there was a fire at their business. They’re shaken. They need someone to tell them it’s going to be okay and walk them through what happens next. An AI should not handle that call. A human should.
A long-tenured commercial client calls to discuss a complex renewal. They want their producer — the one who knows their business, knows their history, knows which carriers will fight for the account. AI has no business in that conversation.
A new prospect calls with a nuanced risk profile — a contractor with multi-state operations, unusual liability exposures, a prior claim that needs context. That’s underwriting judgment, not automation.
These are the conversations that differentiate a good agency from a mediocre one. They’re also the conversations your producers never have time for, because they’re busy typing call notes and generating COIs.
The real risk of not using AI
The risk isn’t that AI replaces your agents. It’s that your agents stay buried in admin while a competitor’s agents don’t.
Consider two agencies. Same size, same market, same number of producers.
Agency A: Producers take calls, manually document everything, handle COI requests between sales calls, spend 12+ hours a week on admin. They write what they write.
Agency B: AI answers calls, documents everything automatically, handles routine requests, routes the complex ones to producers with full context. Producers spend those 12 hours on sales calls, renewals, and relationship building.
After a year, Agency B’s producers have had hundreds more selling conversations. Their close rate is the same — they’re the same quality of producer. They just had more at-bats.
That’s not a hypothetical. That’s math.
What agencies that adopt AI actually look like
Mr. Cooper — a large mortgage servicer, not an insurance agency, but the workflow is similar — reported in the Google study that AI improved average agent handle time by 3.53% across 500,000 monthly calls. That unlocked 28,000 hours annually. Not by firing people. By making each interaction slightly more efficient.
Commerzbank built an AI chatbot that handles over 2 million chats and resolves 70% of all inquiries. The other 30% go to humans — with full context of what was already discussed.
Mercari projected 500% ROI by reducing the workload on customer service representatives by at least 20%.
The pattern is the same every time: AI handles the volume and the routine. Humans handle the exceptions and the relationships. The humans are more productive because they’re not doing the parts of the job that a machine can do better.
What this looks like in an insurance agency
Here’s the version that matters to you:
Before AI: Phone rings. CSR answers. Spends 3 minutes figuring out what the caller needs. Transfers to a producer. Producer re-asks the same questions. Handles the call. Spends 8 minutes typing notes into the AMS. Moves on to the next one.
After AI: Phone rings. AI answers in under a second. Identifies the caller, understands the request, pulls up relevant policy info. If it’s routine — a COI request, a billing question, a status check — the AI handles it end to end. If it’s complex — a claim, a new prospect, a renewal discussion — the AI transfers to the right producer with a full summary of what was discussed. The producer picks up already knowing who’s calling, what they need, and what their policy looks like. After the call, the transcript and summary are written to the AMS automatically. The producer does nothing except the part that required a human.
The CSR didn’t get replaced. Their day changed. Instead of answering and routing, they handle the exceptions and the escalations — the work that actually needs judgment. The producer didn’t get replaced. They got their week back.
The honest part
We build AI for insurance agencies. We have every reason to tell you AI is the future and you should buy ours. So weigh this accordingly.
But the underlying point doesn’t require you to trust us: a commissioned producer typing call notes for 12 hours a week is a misallocation of expensive labor. Whether you fix that with AI, with better processes, or with a dedicated admin hire — the fix is worth pursuing.
The Google data says 70% of companies that tried AI saw productivity improvements. The remaining 30% presumably didn’t implement well, didn’t pick the right use case, or didn’t measure correctly. AI isn’t a guarantee. But the pattern is strong enough, and the use case in insurance is obvious enough, that ignoring it is its own kind of risk.
If you want to see what the “human plus machine” model looks like for an agency your size, book a 15-minute call. We’ll walk through what the AI handles, what it doesn’t, and where your producers get their time back.
Georgijus Korobkovas
Founder & CEO