Independent insurance agencies generally agree that AI will revolutionize the industry someday. But the tools to change your agency are here now.
Vertafore’s 2026 trends report found that the majority of independent insurance agencies are interested in AI, but they’re not yet convinced that it’s ready. Fewer than one-quarter of industry pros said they believe AI will transform their everyday work this year, and 39% are curious about AI and still exploring use cases.
The availability of new AI tools shows that 2026 is the year for significant change. The question now is whether agencies are ready to adopt.
You can gain an early lead by adopting AI that makes smart use of data, reduces input errors in data entry, and cuts down on the time it takes for work to move through your office.
How independent insurance agencies will benefit from AI
Agencies with multiple offices and hundreds of staff have the benefit of scaling their operations, but they’re also at the biggest risk of operational drag. Inefficient processes, disconnected data, or siloed workflows scale, as well, and can lead to logjams in everyday work. Staff with too much on their plate might introduce errors when moving data from forms into agency databases.
These agencies are prepared to adopt AI. Many of those who say they are confident that AI will change the industry this year work at agencies with more than 75 staff members. They’re also significantly more likely to say they see the value in AI that helps with data management and back-office efficiency when compared with agencies with 25 or fewer staff.
Independent agencies across the board also say that ROI is not a major factor when evaluating AI. Instead, they’re looking at data accuracy and security, integration with other software, and insurance-specific use cases.
In short, the first agencies to find a way to implement AI in their workflows and find practical ways to manage their data and streamline their work will have a significant advantage.
Where AI can make an impact now
AI will make the biggest difference for large agencies in workflows that are repetitive, manual, and difficult to scale.
AI agents recently brought to market will reduce manual work and back-and-forth communication that create friction and slow down agencies. The return in each of these areas is measurable, and the time savings multiply across staff.
These AI-driven outcomes have the potential to transform agencies.
Turning unstructured inputs into usable work
A client submits a policy change request by sending a PDF over email with an update to an address, a person on the policy, or a vehicle. Their agent then opens the attachment, reads the form, and manually enters the new information into their system. It’s the kind of routine work that happens every day. What might “only take a minute” multiplies across the agency and instead translates into countless man-hours.
AI agents can speed up that process by pulling key information from source documents, standardizing it, and preparing it for the next step in the workflow. That means less rekeying, cleaner inputs, and a better foundation for everything that follows.
Cutting down on data entry errors
Data entry errors are one of the biggest headaches when making large-scale changes at an agency. And errors aren’t typically a missed keystroke but inconsistent methods of inputting client information, like skipping fields in an AMS, using different formats for addresses, or duplicating entries. One-third of organizations say bad data costs them upwards of $5 million a year, according to a 2025 IBM report.
AI agents help reduce those errors at the point of intake by extracting the relevant information from source documents and maintaining a consistent format. Better data at the start means fewer corrections and more confidence in the systems people rely on every day.
Reducing manual administrative drag
Reconciliation, statement review, document handling, and other back-office tasks have to get done accurately and depend on staff spending time comparing records, matching line items, and identifying exceptions by hand.
AI agents that help with reconciliation can ingest statements, match transactions, and flag exceptions, getting an hour of work done in minutes. Teams can process more and reduce avoidable errors, and then spend time resolving true exceptions instead of sorting through routine administrative volume.
Moving work forward inside existing systems
A lot of work begins with an email or incoming message. The efficiency drag comes from interpreting the request and deciding on what the client needs and moving the work into the right queue or workflow. AI can help interpret incoming requests, identify what matters, and hand it off to the right person or process faster within an AMS.
For large agencies, these workflow gains are measured in time savings that multiply across staff. Project Impact, which found improvements in agencies without using AI, found that reducing clicks and streamlining workflows resulted in time savings of 45 minutes per day for account managers. Fewer manual touches reduce friction, save time, and turn into more time to spend with clients.
How to implement AI at your agency
Agencies that move their AI projects ahead in 2026 are in a position to gain an advantage over their peers. The tools are available to create smoother workflows scaled across dozens or hundreds of staff.
The agencies that act now can reduce administrative drag, improve data quality, and help teams move faster inside the systems they use.