The Agentic Agency: Changing How Agency Work Gets Done
For all the attention artificial intelligence is getting in insurance, the fundamental value of the independent agency hasn’t changed.
Clients still need insurance professionals who understand their risks and coverage needs. They need advice, judgment and relationships they trust. Agencies still need people who know how to navigate markets, solve problems, make decisions, and apply their expertise when the answer is not obvious.
What AI is changing for independent agencies is how much work it takes to deliver that value.
Today, too much agency capacity is consumed by friction around moving information between systems, searching documents, re-keying data, checking information for accuracy, assembling submissions, answering process questions and completing repetitive service and accounting work.
That friction—that distribution drag—slows business throughout the agency. It hinders growth, keeps people mired in paper instead of spending time with clients, and makes processes harder and more complex then they need to be.
So the next opportunity for AI is not simply to make individual tasks faster. It is to change how work moves across the agency.
That is the idea behind Vertafore’s Agentic Agency.
The Agentic Agency is Vertafore’s model for applying AI across the connected workflows of an independent insurance agency.
Instead of using AI only as an assistant for isolated activities, intelligent agents can take on more of the preparation, organization, movement and follow-through of work. They can structure information, surface exceptions, bring forward relevant insights, recommend actions and automate approved next steps.
The role of the person shifts from performing every step to reviewing, deciding and intervening where expertise, judgment and accountability are required.
That distinction from traditional automation is important. Automation has long helped agencies streamline individual steps in a process. Agentic AI creates the potential for technology to participate across more of the workflow: understanding context, acting on information, identifying what needs attention and helping move work toward the next decision.
Agency work is particularly suited to that shift because the work rarely happens as a collection of isolated tasks. A commercial policy, for example, may require someone to interpret source documents, update the agency management system, file supporting information, check the issued policy against what was requested and resolve discrepancies. Making one of those activities faster has value. But reducing friction across the entire flow of work can have a much bigger impact.
That is why the Agentic Agency spans the full agency lifecycle—from producing and submissions through servicing and accounting, with AI also supporting access to information, guidance and business intelligence.
We can already see what that shift to applying AI across workflows looks like in practice. Consider one connected part of the commercial policy workflow: policy intake and policy checking.
Vertafore’s Velocity Policy Intake Agent interprets information in commercial policy documents and maps it to the agency management system. Rather than automatically overwriting existing agency data, it surfaces proposed updates for a person to review, edit, approve or reject.
The Velocity Policy Check Agent then compares the issued policy against agency data and approved supporting documentation. Instead of requiring someone to review every field with equal attention, the agent identifies discrepancies and missing information so the reviewer can focus on what needs attention. The person determines what is correct and approves any resulting changes.
The important point is not that two tasks happen faster. It is that the workflow itself starts to operate differently. AI can prepare information, perform much of the comparison and direct human attention to the places where oversight or a decision is needed.
That shift—from insurance professionals reviewing everything to being able to focus on what requires attention—points to a broader potential for AI in agency operations.
Distribution Velocity describes what happens when work can move through insurance distribution faster, with greater coordination, precision and purpose.
The need to think at the workflow level extends well beyond insurance. Microsoft’s 2026 Work Trend Index Annual Report argues that as AI moves from assisting with isolated tasks to participating in workflows across functions and systems, organizations need to rethink how work itself is designed. In the same research, 66% of AI users said AI had enabled them to spend more time on higher-value work.
The challenge is especially relevant for independent agencies. Catalyit’s 2026 State of Tech Report Insights identifies disconnected systems, duplicate entries and fragmented workflows among agencies’ common operational frustrations. It also found that agencies making the most progress are focused on cleaner workflows, better integrations, stronger staff adoption and greater operational clarity.
That matters because friction compounds. A duplicate entry here, a manual handoff there or information trapped in another system may not seem significant on its own. But when those interruptions occur across sales, submissions, servicing, accounting and other agency functions, they consume time and capacity throughout the business.
Distribution Velocity is about reducing that accumulated friction. It means looking beyond whether an individual task can be automated and asking whether information, work and decisions can move more efficiently from one step to the next.
For independent agencies, the Agentic Agency is Vertafore’s model for applying that idea in the AI era.
The first wave of AI adoption in insurance has understandably focused on tasks: Where can AI save time? What can we automate?
Those remain useful questions. But agentic AI introduces a broader set of considerations for agency leaders:
- Where does work slow down as it moves through the agency?
- Where are people repeatedly gathering or reconstructing information before they can make a decision?
- Where does the same information have to be entered or reviewed multiple times?
- Where are highly skilled employees spending time on routine or manual work versus actions that actually require their expertise?
Those questions shift the focus from deploying AI tools to redesigning how work gets done. The goal is not maximum automation. It is a better division of work between people and technology: using AI to handle more of the preparation, coordination and follow-through while keeping people focused on the decisions, advice and relationships where they create the most value.
Bringing AI into agency workflows does not change why independent agencies matter. It changes how much effort has to happen around the work that makes them valuable.
The future of the independent agency is not less human. It is an agency where more human capacity is available for the expertise, judgment and relationships that clients depend on.