Valuation Reality Check: Why Strategic Buyers Are Pricing Systems and AI Readiness, Not Just Revenue

Broker valuation conversations have typically centered around traditional metrics like growth rate, producer performance, commission revenue, and EBITDA margins. And while those metrics remain important indicators of success, they don’t tell the full story. Strategic buyers today are looking for operational maturity, considering variables like system integration, data quality, automation functionality, and AI-readiness, alongside more traditional profitability metrics.

The future revenue of brokerages is being shaped by technology. Buyers are no longer satisfied with strong top-line growth if back-end infrastructure is lacking. A brokerage with structured and accessible data, for example, can deploy AI tools more efficiently and firms with automated workflows reduce their E&O risk. Conversely, brokerages relying on legacy tools like spreadsheets, manual workflows, and fragmented systems are discounted by buyers because of the operational risk and cumbersome workflows.

The valuation gap between digitized firms and legacy-dependent ones will only continue to deepen with the evolution of technology.

AI Tools Have Become Core Infrastructure

AI-enabled tools are embedded at all levels and stages of the insurance ecosystem, from underwriting analytics to coverage benchmarking and marketing automations. Brokerages must be positioned to leverage AI technology at scale and with appropriate safeguards in place. But to use these tools effectively to produce reliable outcomes, brokerages must first have basic foundations in place including:

• quality, standardized data

• consistent workflows and processes

• integrated systems

• clear governance procedures

For those firms working with larger accounts, AI elevates advisory value through predictive modeling, portfolio insights, detailed loss analysis, and risk benchmarking, making the broad adoption of AI a competitive differentiator that strengthens and deepens relationships.

And for small commercial accounts, the intentional use of AI is the differentiator.

The Small Commercial AI Dilemma

Small commercial has traditionally been an operationally intensive segment where margins are thinner and account volume is higher. In high-pressure environments like this, workflow efficiency determines profitability. At the same time, AI innovation is evolving at an accelerated pace with new tools and iterations released monthly. For many brokerages, building and maintaining AI capabilities internally for small commercial teams can be labor and capital-intensive. It diverts leadership focus from strategic initiatives and distracts producers from their customer-facing role. But ignoring AI in small commercial business is also risky. Brokerages that modernize their small business operations will:

• reduce manual steps and service time

• improve renewal efficiency

• decrease E&O risk

• increase revenue per employee

While brokerages can’t afford to ignore modernization, they also need to find the most cost-effective approach to managing AI at scale. For many SBUs, the most cost-effective solution is a platform like Layr that can manage the AI evolution of the firm sustainably. Firms that take on the AI challenge internally cannot provide the long-term sustainability required as costs and complexity will continue increasing and requiring more internal resources. By outsourcing this segment of operations, brokerages can focus their AI strategies on high-value clients while leveraging the scale of a platform like Layr to enhance AI capabilities for the SBU segment.

Conversely, firms that do not modernize risk losing profitability and market share as already-tight margins compress further and competition intensifies. This is when intentional AI deployment becomes strategic.

Brokerages that command the highest values are those who deploy impactful AI, rather than those who attempt to add AI to every problem or those who inflate their services by AI washing, which is the act of falsely or overly inflating claims about the use of AI in financial products or services. Applying AI where it creates measurable impact adds exponential value to a firm. Centralizing small commercial services by using a technology-forward platform that includes enterprise-grade AI capabilities allows brokerages of any size to deploy modern technology at scale without taking on the full development and maintenance burden themselves. This allows brokers to replace fragmented internal systems and the added complexity of workarounds with automated workflows, streamlined quotes and service, and standardized data. And as AI tools improve, enhancements are deployed automatically across the entire book of business seamlessly, optimizing speed and accuracy. Brokerages should work with an outsourced solution that includes AI capabilities as part of its SBU servicing options to maximize their AI strategies.

The Emerging Valuation Divide Between Modern and Legacy Firms

Small commercial operations benefit from the continuous deployment of technological advancements without added effort or cost, while broker leadership can focus on high-value relationships and complex accounts where AI-driven insights elevate outcomes. In other words, AI-enabled platforms create operational leverage that commands a higher value.

Buyers today price for sustainability and scalability. They are looking for a brokerage that has clean data, disciplined systems, clear segmentation between large accounts and SBUs, smart automation, and a well-defined AI strategy. These variables show operational sophistication that translates to higher productivity, stronger revenue-per-employee ratios, lower integration risk during M&A activity, and improved retention of digital natives.

In contrast, brokerages that are encumbered by manual spreadsheets, hidden legacy knowledge, and inconsistent processes lack the ability to scale and grow easily. Revenue may remain strong in the short term but for firms anchored by legacy systems, long-term longevity is at risk.

Technology has become an enterprise strategy. Brokerages that delay modernization are not simply standing still; they are losing competitive ground.

The Strategic Choice Ahead

AI readiness is no longer optional nor is a single AI strategy suitable for brokerages. Brokers must deploy it carefully and specifically to the segments of their books. Those who are succeeding have taken a deliberate approach to modernization by investing in a core platform with structured data, repeatable workflows, segmented operations, and partners that help them scale and specialize.

And for small commercial operations, partnering with a purpose-built platform like Layr can modernize SBU operations while deploying AI responsibly, at scale, and without increasing internal overhead.

Contact Layr to Learn More About AI Modernization Partner with Layr to modernize your tech stack with intentional AI. Contact us today for your demo and more information.

External Links: 1. https://rpc.cfainstitute.org/research/reports/2025/ai-washing