Commercial clients are starting to ask different questions. Not just about pricing, coverage, or market conditions—but about something newer: "How are you using AI on our account?"
Sometimes the question is direct. Other times, it shows up in a different way:
- "Are we approaching this renewal differently?"
- "Is there a better way to market this?"
- "Are we using everything available to reduce our cost?"
WHERE THIS IS SHOWING UP
This shift is most visible in commercial accounts. When you're working on multimillion-dollar portfolios, builder's risk placements, construction liability programs, or cyber and professional liability coverage, clients expect more than just placement. They expect strategy.
They are not just buying insurance.
They are evaluating how their risk is being managed—and whether anything in that process is improving.
Behind the scenes, most commercial insurance work still follows a familiar path. Submissions are built through ACORD forms and supplemental applications. Exposure data is pulled from multiple sources—loss runs, schedules, prior policies, and internal systems. Builder's risk and construction accounts require detailed breakdowns of project values, timelines, and subcontractor exposure. Cyber and professional liability placements depend heavily on how controls, processes, and operations are described.
This work is complex and critical. But from the client's perspective, it often looks the same every year. The submission goes out. Quotes come back. The renewal is negotiated.
That's where the question about AI begins to surface.
WHAT CLIENTS ARE REALLY ASKING
Most clients are not asking for a technical explanation of AI. They are asking a simpler question: "Are we doing this in the best possible way?"
When a client managing a large commercial portfolio brings up AI, they are not asking about specific tools. They are asking whether:
- their account is being marketed effectively
- the data being presented is strong and complete
- there is a better way to position their risk
- anything is being left on the table
AI has become the language for that expectation. For many agents operating in traditional models, this is a difficult conversation—because the honest answer is still evolving.
Many agencies are beginning to use tools that improve parts of the workflow—extracting data from applications, organizing submission materials, tracking marketing activity, or improving internal coordination. But those improvements are not always visible to the client and they don't always translate into a clear explanation of how outcomes are changing.
So when the question comes—"How are you using AI?"—the answer can feel incomplete, even when meaningful work is happening behind the scenes.
WHAT THIS MEANS FOR COMMERCIAL AGENTS
Commercial agents don't need to have a perfect AI strategy to respond. But they do need to be ready for the conversation.
That means being able to explain, in practical terms:
- how submissions are being strengthened
- how data is being organized and presented
- how the account is being marketed differently
- and where experience still matters in interpreting risk
The agents who can do this clearly will stand out not because they are using the most advanced technology, but because they can connect what they are doing to real client value.
LOOKING AHEAD
This question is not going away. As commercial accounts become more complex and clients become more informed, expectations will continue to rise—not necessarily for more technology, but for better outcomes—and that changes the role of the agent.
The conversation is no longer just about coverage. It's about how the work itself is evolving.
The agents who can explain that—clearly and confidently—will define what comes next.
