Google Cloud just published a report that should matter to every agency owner, even if you never plan to use a Google product. They surveyed 3,466 senior leaders across 20 countries, all at companies with 100+ employees and $10M+ revenue, and the headline number is hard to ignore: 88% of organizations that adopted AI agents are already seeing positive ROI.
Not “expect to see” ROI. See it now.
A separate Forrester study cited in the same report found 207% ROI over three years on AI customer engagement, with a payback period of less than six months.
Those are enterprise numbers. But the pattern applies to a ten-person insurance agency more than most people realize.
Why insurance agencies are a better fit for AI than most businesses
The companies in that study are banks, telecoms, retailers — large operations with complex tech stacks and long implementation cycles. An independent insurance agency is simpler, which is actually an advantage.
An agency’s core workflow is remarkably repetitive and data-heavy:
- A phone rings. Someone answers. They figure out what the caller needs. They route or handle it. They document what happened.
- An email arrives. Someone reads it, decides if it matters, responds or routes it.
- A COI request comes in. Someone looks up the customer, pulls the policy, generates the certificate, sends it back.
These are exactly the kind of “repeatable tasks” that Google’s report identifies as the highest-ROI targets for AI. Not creative strategy. Not relationship building. The mechanical, repetitive work that fills up your team’s day and keeps them from the work that actually generates commission.
Where the ROI actually shows up
The Google report breaks ROI into five areas. Here’s how they map to an agency:
1. Faster financial returns. 55% of AI early adopters saw ROI specifically on customer service use cases — chat, call centers, field support. For an agency, the equivalent is phone handling and post-call documentation. If your team spends 6-12 minutes per call typing notes into the AMS, and an AI does that in zero seconds, the math is straightforward. A five-person agency handling 125 calls a day is losing 10+ hours daily to documentation alone.
2. Happier customers. 76% of early adopter organizations report improved customer experience. In insurance, customer experience mostly means: did someone answer when I called? Did they know who I was? Did my request get handled today or next week? AI that answers instantly, identifies the caller, and resolves simple requests without a callback changes the answer to all three.
3. More productive human agents. 70% of executives report improved productivity from AI. The Google report specifically calls out that AI handles “data entry, ticket categorization, and routing of customer inquiries” and “generates summaries of conversations and follow-up emails.” That is literally the job description of an insurance agency’s front desk. The producers and CSRs don’t disappear — they stop doing the parts of the job that nobody wanted to do anyway.
4. Data-driven intelligence. 75% of executives who saw meaningful CX impact also reported improved customer satisfaction scores. The report quotes loveholidays: “We capture and categorize data on all customer interactions, chat and voice, that occur every day. We use these insights to shape our business strategy.” Every call your agency takes contains information — what products clients are asking about, which ones they don’t have, whether they’re happy or shopping around. Most agencies let that information evaporate after the call ends.
5. Beyond the contact center. 54% report using AI for digital commerce and enhanced experiences across channels. For an agency, “channels” means phone, email, and SMS. Most agencies treat these as separate workflows with separate people. AI that handles all three from one system, with one view of the customer, changes how the whole front office operates.
The number that should worry agency owners
Here’s the one that caught my attention: 57% of financial services organizations have already adopted AI agents for customer service. Financial services is the highest-adopting industry in the study.
Insurance is financial services.
Your competitors — not the other agencies down the street, but the industry as a whole — are moving. The agencies that adopt early get the cost advantage and the experience advantage. The agencies that wait get to compete against agencies that are already faster, already cheaper to operate, and already capturing data their competitors aren’t.
The security question
The report found that 37% of executives say data privacy and security is the number-one factor when choosing an AI provider. For insurance, that number should be higher. You’re handling PII, health data, financial information, claims records.
This is actually where a lot of generic AI tools fail the insurance test. They’re built for retail or tech, not for an industry where a data breach has regulatory consequences. The agencies we work with care about where the data lives, who else can see it, and whether the system meets the compliance standards their E&O carrier expects. Those aren’t unreasonable questions. They’re the right questions.
The honest part
This report is published by Google Cloud. They sell AI infrastructure. The survey was conducted by National Research Group on their behalf. The numbers are real — 3,466 respondents is a large sample — but Google has every incentive to make AI look good.
That said, 88% is hard to argue with, and the pattern matches what we see at our own scale: agencies that automate the mechanical work — calls, documentation, email triage, COI handling — reclaim hours that turn directly into revenue. Not because AI is magic, but because the work it replaces was never a good use of a licensed producer’s time in the first place.
If you want to see what the ROI math looks like for your specific agency size and call volume, we built a calculator that shows it. Plug in your numbers and see what comes back.
Or if you’d rather just talk through it: book a 15-minute call. No pitch deck. Just your numbers and what they mean.
Georgijus Korobkovas
Founder & CEO