How AI Adoption Affects Insurance Agency Valuations and M&A

Everyone is talking about artificial intelligence (AI). Carriers are using it. Aggregators and networks are investing in it. A new vendor pops up once a week. The question many agency owners are asking is simpler: how does AI actually change what an agency is worth — and what a buyer is willing to pay for it?

The honest answer is that we’re still early. The impact of AI on agency operations and valuation is still being observed. The direction is confident enough that it’s worth understanding what’s changing, what buyers are starting to think about, and what you should be paying attention to if you have any interest in selling your agency in the next several years.

What AI Adoption in Independent Agencies Actually Looks Like Right Now

My realistic assessment is the majority of independent agencies are experimenting with AI, but few have implemented it in a meaningful way.

Genuine, measurable efficiency gains from AI are still the outlier exception. The agencies achieving meaningful productivity improvements tend to be the ones that already had strong operational foundations – documented workflows, clean data, and deliberate technology adoption. AI in those environments acts as an accelerant but not a catalyst for high performance. In agencies with fragmented processes and inconsistent data practices, AI tools often get bolted on without producing much value.

There’s also the time horizon problem. Buyers and valuation advisors work with historical performance. Even agencies that have made serious AI investments over the past two years haven’t had long enough to generate the kind of financial track record that would be obvious in a financial analysis.

The potential is real. I’m not an absolute AI critic, but in my presentation on agency technology I outline there are multiple layers of technology automation and the overwhelming majority aren’t ready for hyper-automation or personalized automation when they don’t have the basic necessary data quality controls in place.

One more thing worth saying in addition to this: AI without controls introduces risk, not value. An agency using generative or agentic AI without review processes in place is creating E&O exposure, not operational leverage. It’s already emerging that carriers are moving to exclude or further define how coverage applies to these tools.

How Buyers Are Starting to Think About Technology and Agency Valuation

Here’s something important to understand: technology is not a direct valuation input.

Buyers aren’t paying a higher multiple because you’re using a particular AI tool or because you have a modern AMS. Valuation still centers on the fundamentals – margin and growth. Factors like procedures, quality control, retention, client concentration, lines of business, geography, and others are risk factors. Technology use without adequate security or documentation can increase risk.

Sophisticated buyers try to connect the dots. They’re asking whether an agency’s technology adoption helps explain its financial performance. If an agency is running above-average retention rates, lower account servicing costs per employee, or better revenue-per-employee metrics, the technology infrastructure is part of what they’re trying to understand as a driver of those outcomes.

Think of it this way. If your margins are strong because you’ve built efficient, scalable processes – some of which involve technology – that’s a more defensible story than margins that are strong because the owner is working sixty hours a week and personally handling things a well-run operation would systematize.

Genuinely tech-forward agencies do exist. Some are running AI-assisted triage for service requests, using predictive data to identify at-risk accounts before renewal, or leveraging automation to reduce the headcount required to service a given book size. When those operational advantages show up in the numbers over multiple years, buyers notice.

What this really means for most agencies today is that technology tells a story, but the financials and KPIs have to tell the same story.

What Questions Buyers Are Asking About AI in Due Diligence

Buyers are adding new lines of questions to their due diligence process. None of this replaces the financial due diligence, but depending on the buyer it is becoming a regular part of the conversation. The interesting thing is these questions were already being asked, but with generative and agentic AI being significantly more capable than general automation the need for clarity is higher:

• What tools are you using, and how are they integrated?
• How clean, consistent, and accessible is your data?
• What are your controls around AI-assisted work?
• How dependent are you on third-party AI vendors?

These are E&O and performance questions reframed. If staff are using AI tools to assist with coverage analysis, proposals, renewal letters, or client-facing communications, what’s the review and approval process? Buyers want to see that AI is being used as a drafting and efficiency tool under human supervision, not as a decision-maker. Agencies that can document their AI governance – even informally – are in a better position than those that can’t articulate how the tools are being used.

Some AI tools your agency uses today may be early-stage products from smaller vendors. So when planning for system integrations it’s no longer focused on AMS migrations, but now what AI systems are integral to an agency’s performance.

AI-Native Buyers Are Becoming More Active

The current world of buyers is starting to also show trends in how AI forward agencies are participating in the market. When speaking with agency buyers who want to connect with our services there are some very clear “buyer types” that are emerging:

• Mature agencies who are adopting AI in their processes. Using AI for due diligence analysis, integration planning, and strategic implementations for sales and service teams. This can include using publicly available AI solutions as well as working on internal proprietary solutions only available for their team.
• AI native agencies who are searching for tech forward partners. Either through a proprietary AI enabled AMS, or proprietary AI enabled back office or service support structures. They are focused on finding agencies who haven’t successfully adopted technology and want help, or tech forward agency owners who are open to innovation and long term platform growth using AI enabled systems.

What You Should Be Doing Now to Protect Your Agency’s Value

If you’re thinking about a transaction in the next one to three years, or longer, here’s how to think about AI in the context of your agency’s value:

1. Focus on the fundamentals first. Sustainable margin and growth are still the primary drivers of your valuation. AI doesn’t substitute for strong performance, but can support efficiencies to achieve those drivers.
2. Be intentional about what you adopt. No different than any technology, don’t fall for shiny object syndrome. Work to find impactful solutions to real pain points in your processes so that your team can perform consistently over time.
3. Document your processes and controls. If you’re using AI in client-facing workflows, have a clear review process. E&O coverage for AI work is still an evolving issue, so make sure you demonstrate risk management.
4. Clean up your data. Whether or not you’re using AI today, clean and organized data is a meaningful advantage in any due diligence process.
5. Give it time to show up in the numbers. The real payoff from operational improvements, AI-driven or otherwise, is in sustained margin improvement over time.

Key Takeaways

• AI adoption in independent agencies is real but still early. Meaningful, measurable efficiency gains are the exception, not the norm.
• Technology is not a direct valuation input. Buyers are looking for evidence that technology-enabled operations produce better financial outcomes, not paying a premium for software.
• Due diligence is evolving. Buyers can ask about your tech stack, data quality, AI controls, and vendor dependencies.
• Data hygiene matters more than ever. Clean, organized, accessible data is an advantage in any sale process, and AI makes that even more true on the buyer side.
• The opportunity is in building the track record now. Agencies that make smart, controlled investments in AI today and allow those improvements to mature in the financials will be in the strongest position when it’s time to sell.

If you’re thinking about what your agency is worth today or planning for a future transaction, I’d be glad to talk through where you stand. Schedule an introductory call or visit our agency valuation and selling an agency pages to learn more about how we approach these conversations.

Posted by Colby Allen, VP of Valuation & Consulting